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		<title>a16z generative ai</title>
		<link>https://bs.room11.sa/blog/marketing/a16z-generative-ai-4/</link>
		
		<dc:creator><![CDATA[Shoukat]]></dc:creator>
		<pubDate>Wed, 27 May 2026 09:28:04 +0000</pubDate>
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					<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/a16z-generative-ai-4/">a16z generative ai</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents </p>
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
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width="309px" alt="a16z generative ai"/></p>
<p><p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p><p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
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<p><p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
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" width="303px" alt="a16z generative ai"/></p>
<p><p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p><p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p><h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p><p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p><h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p><p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p><p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p><p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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width="300px" alt="a16z generative ai"/></p>
<p><p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p><h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
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<p><p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
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width="302px" alt="a16z generative ai"/></p>
<p><p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p><h2>TechBullion</h2>
</p>
<p><p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p><p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a href="https://bs.room11.sa/blog/marketing/a16z-generative-ai-4/">a16z generative ai</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">247293</post-id>	</item>
		<item>
		<title>adobe generative ai 1</title>
		<link>https://bs.room11.sa/blog/news/adobe-generative-ai-1/</link>
		
		<dc:creator><![CDATA[Shoukat]]></dc:creator>
		<pubDate>Tue, 19 May 2026 16:46:28 +0000</pubDate>
				<category><![CDATA[news]]></category>
		<guid isPermaLink="false">https://bs.room11.sa/?p=247179</guid>

					<description><![CDATA[<p>Grace Yee, Senior Director of Ethical Innovation AI Ethics and Accessibility at Adobe Interview Series Adobe&#8217;s Claims Next Generative AI Features Will Be Commercially Safe Speaking of “early access” features, Adobe introduced AI-powered Lens Blur as an early access tool last year. With today’s Lightroom ecosystem update, it is finally available to everyone, no strings [&#8230;]</p>
<p>The post <a href="https://bs.room11.sa/blog/news/adobe-generative-ai-1/">adobe generative ai 1</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Grace Yee, Senior Director of Ethical Innovation AI Ethics and Accessibility at Adobe Interview Series </p>
<h1>Adobe&#8217;s Claims Next Generative AI Features Will Be Commercially Safe</h1>
</p>
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" width="306px" alt="adobe generative ai"/></p>
<p><p>Speaking of “early access” features, Adobe introduced AI-powered Lens Blur as an early access tool last year. With today’s Lightroom ecosystem update, it is finally available to everyone, no strings attached. For those who want it, it’s available in all versions of Adobe Lightroom beginning today as an “early access” feature. While it’s easy to think about “generative AI” in terms of adding something to a scene, it also makes sense for removal, as to do so convincingly, new pixels must  be made to replace what is taken out of the frame.</p>
</p>
<p><p>By being open about our data sources, training methodologies, and the ethical safeguards we have in place, we empower users to make informed decisions about how they interact with our products. This transparency not only aligns with our core AI Ethics principles but also fosters a collaborative relationship with our users. Adobe could improve the user experience dramatically by simply including the reason a generation gets flagged as a guideline violation. They request we use their feedback system when this happens, but don’t give us any feedback in return.</p>
</p>
<p><h2>Make sure you&#8217;re running the right version</h2>
</p>
<p><p>There, a user’s remaining number of generative credits is shown and it reloads in real-time. There is no indication inside any of Adobe’s apps that tells a user a tool requires a Generative Credit and there is also no note showing how many credits remain on an account. Adobe’s FAQ page says that the generative credits available to a user can be seen after logging into their account on the web, but PetaPixel found this isn’t the case, at least not for any of its team members.</p>
</p>
<p><h3>The future of content creation and production with generative AI &#8211; the Adobe Blog</h3>
<p>The future of content creation and production with generative AI.</p>
<p>Posted: Wed, 11 Dec 2024 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMipAFBVV95cUxQLXktZ3IyeVVxek5tWEpKTnM0dXFacVQxLWZNbXpodWZQczI0RWFBTkFlWmNSc3hsazl2SF84YloxbGNEd2x6aktvZndWNjRzaEdtYnJTcjBsV29DWEpVNU9fblNyUVRRR1h4TGd3YkMtVElPbTdnQlpiRXBoTWFaLThfRGRieVFTTEFhRnA5N3hWQjBJSGtEdWxUZHd3akpGX2hoMg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p><p>The Firefly Video Model (beta) is set to extend Adobe’s family of generative AI models and make Firefly one of the most comprehensive model offerings for creative teams. It is available today through a limited public beta with the goal of garnering feedback from small groups of creative professionals. Adobe is upgrading those existing capabilities to a new AI model called the Firefly Image 3 Model. According to the company, the update will improve both the quality and variety of the content that the features generates.</p>
</p>
<p><h2>Adobe&#8217;s new AI tools will make your next creative project a breeze</h2>
</p>
<p><p>By Jess Weatherbed, a news writer focused on creative industries, computing, and internet culture. To its credit, two of the three options Generative Remove suggested did provide usable alternatives. Unfortunately, the Bitcoin option was the first one, which (whether Adobe intends this or not) tells an editor that it is what the platform feels is the best result. While this kind of makes sense if you don’t think about it too hard, it also is completely counterintuitive to the concept of the name of the tool and the result an editor is expecting. “Select the entire object/person, including its shadow, reflection, and any disconnected parts (such as a hand on someone else’s shoulder). For example, if you select a person and miss their feet, Lightroom tries to rebuild a new person to fit the feet,” the article reads.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="307px" alt="adobe generative ai"/></p>
<p><p>&#8220;It&#8217;s another way to penetrate and radiate the user base,&#8221; Gartner analyst Frances Karamouzis said. The new Media Intelligence tool in Premiere Pro follows the introduction of other AI-driven features including Firefly-powered Generative Extend. If I am selecting a body part and asking a tool to fill or remove that space, zero percent of the time would I want it to replace my selection with its eldritch nightmare version of that exact same thing. What I, and any editor doing this, want is for what is selected to be removed as seamlessly as possible. GPU-accelerated, AI-powered video retiming tool can now be used without a host app, for under half the price of a regular plugin license. Internally, IBM is also using Adobe Firefly to streamline workflows, leveraging generative art, Photoshop, Illustrator, and Firefly’s AI capabilities.</p>
</p>
<p><h2>Generative Extend is coming to the Adobe Premiere Pro beta</h2>
</p>
<p><p>That’s an existing Illustrator feature for creating scalable vector, or easily resizable, versions of an image. According to Adobe, its engineers have enhanced the  visual fidelity of the feature’s output. Or perhaps someone likes the look of an image but wishes that the subject were somewhere else in the frame.</p>
</p>
<ul>
<li>Leading enterprises including the Coca-Cola Company, Dick’s Sporting Goods, Major League Baseball, and Marriott International currently use Adobe Experience Platform (AEP) to power their customer experience initiatives.</li>
<li>“Dubbing and Lip Sync” can translate and edit lip movement for video audio into 14 different languages, and a new InDesign tool can automatically format text and images for print and digital media using predefined templates.</li>
<li>One of the biggest announcements for videographers during Adobe Max 2024 is the ability to expand a clip that’s too short.</li>
<li>Illustrator and Photoshop have received GenAI tools with the goal of improving user experience and allowing more freedom for users to express their creativity and skills.</li>
</ul>
<p><p>My advice would be to begin by establishing clear, simple, and practical principles that can guide your efforts. Often, I see companies or organizations focused on what looks good in theory, but their principles aren’t practical. The reason why our principles have stood the test of time is because we designed them to be actionable.</p>
</p>
<p><h2>Adobe Firefly Feature Deep Dive</h2>
</p>
<p><p>Firefly is featured in numerous Adobe apps, including Photoshop, Express, and Illustrator, and with the introduction of the Firefly Video Model (beta), it is coming to Premiere Pro, Adobe’s venerable video editing software. At the heart of Adobe&#8217;s announcements is the expansion of its Firefly family of generative AI models. The company introduced a new Firefly Video Model, currently in beta, which allows users to generate video content from text and image prompts.</p>
</p>
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" width="301px" alt="adobe generative ai"/></p>
<p><p>While the company was not proactive about alerting users to this change, Adobe does have a detailed FAQ page that includes almost all the information required to understand how Generative Credits work in its apps. As of January 17, Adobe started enforcing generative credit limits “on select plans” and tracking use on all of them. When it comes to generative artificial intelligence (AI), one company that has been at the forefront on the software side is Adobe (ADBE -0.43%). The company has added a number of AI-related features to both its Creative line of products, such as Photoshop, and its Acrobat-led Document Cloud business. Since many mobile devices shoot HDR photos, software has continually expanded its support for HDR image editing, Lightroom among them. With HDR Optimization, Lightroom users can achieve brighter highlights, deeper shadows, and more saturated colors in HDR photos.</p>
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<p><p>For Creative Bloq, Ian combines his experiences to bring the latest news on digital art, VFX and video games and tech, and in his spare time he doodles in Procreate, ArtRage, and Rebelle while finding time to play Xbox and PS5. As some examples above show, it is absolutely possible to get fantastic results using Generative Remove and Generative Fill. But they’re not a panacea, even if that is what photographers want, and more importantly, what Adobe is working toward. There is still need to utilize other non-generative AI tools inside Adobe’s photo software, even though they aren’t always convenient or quick. As its name suggests, Generative Remove generates new pixels using artificial intelligence.</p>
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<p><h2>Adobe&#8217;s Claims Next Generative AI Features Will Be ’Commercially Safe‘</h2>
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<p><p>The new AI features will be available in a stable release of the software “later this year”. Generate Similar, shown above, automatically generates variations of a source image, making it possible to iterate more quickly on design ideas. Users can guide the output by entering a brief text description, with Photoshop automatically matching the lighting and perspective of the foreground objects in the content it generates. In Photoshop 25.9, they are joined by the ability to create entire images from scratch, in the shape of new text-to-image system Generate Image.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="304px" alt="adobe generative ai"/></p>
<p><p>&#8220;Think of these &#8216;controls&#8217; as the digital equivalent of the paintbrush in Photoshop,&#8221; says Alexandru. If you&#8217;re a digital artist fed up with hearing prompt jockeys tell you to get over generative AI art&#8217;s impact, then Alexandru Costin, Vice President of Generative AI and Sensei at Adobe, has some good news for you as we begin 2025. Get the latest information about companies, products, careers, and funding in the technology industry across emerging markets globally. I suspect this may be for similar reasons, that Stable Diffusion XL (SDXL) works best in 1024 pixel aspect ratios. I’ve found that limiting the expand or fill areas to 1024 pixels improves results.</p>
</p>
<p><p>The company sees this tool as helpful in creating storyboards, generating B-roll clips, or augmenting live-action footage. Labrecque has authored a number of books and video course publications on design and development technologies, tools, and concepts through publishers which include LinkedIn Learning (Lynda.com), Peachpit Press, and Adobe. He has spoken at large design and technology conferences such as Adobe MAX and for a variety of smaller creative communities.</p>
</p>
<ul>
<li>Even if the company isn’t enforcing these limits yet, it didn’t tell users that it was tracking usage either.</li>
<li>&#8220;I think Adobe has done such a great job of integrating new tools to make the process easier,&#8221; said Angel Acevedo, graphic designer and director of the apparel company God is a designer.</li>
<li>At Sundance 2025 in Utah, the creative tech giant has announced a new AI-powered Media Intelligence tool that automatically analyses visuals across thousands of clips in seconds.</li>
<li>In Q4 of last year, the company generated $569 million in new digital media ARR, so this would be a deceleration and could lead to lower revenue growth in the future.</li>
</ul>
<p><p>Further, Firefly offers a variety of camera controls, including angle, motion, and zoom, enabling people to finetune the video results. It’s also possible to generate new video using reference images, which may be especially helpful when trying to create B-roll that can seamlessly fit into an existing project. Adobe is one of several technology companies working on AI video generation capabilities. OpenAI’s Sora promises to let users create minute-long video clips, while Meta recently announced its Movie Gen video model and Google unveiled Veo back in May. It is available today through a limited public beta to garner initial feedback from a small group of creative professionals, which will be used to continue to refine and improve the model, according to Adobe.</p>
</p>
<p><p>They utilize AI to significantly speed up and improve image editing without taking control away from the photographer. To address this, Adobe founded the Content Authenticity Initiative (CAI) in 2019 to build a more trustworthy and transparent digital ecosystem for consumers. The CAI implementsour solution to build trust online– called Content Credentials. Content Credentials include “ingredients” or important information such as the creator’s name, the date an image was created, what tools were used to create an image and any edits that were made along the way.</p>
</p>
<p><p>The Generate Similar tool is fairly self-explanatory — it can generate variants of an object in the image until you find one you prefer. Adobe is upgrading its Premiere Pro video editing application with a generative AI model called the Firefly Video Model. It powers a new feature called Generative Extend that can extend a clip by two seconds at beginning or end. These latest advancements mark another significant step in Adobe&#8217;s integration of generative AI into its creative suite.</p>
</p>
<p><p>This upcoming tool takes the power of everything seen in Adobe Firefly AI functions and applies it to generative video. It works incredibly well, even tracking objects that move against similarly toned or colored backgrounds. Photoshop’s latest AI features bring in more precise removal tools, allowing you to brush an area for Photoshop to identify the distraction and remove it seamlessly.</p>
</p>
<p><h3>Adobe’s CFO: Agentic AI is a ‘natural evolution’ for the company &#8211; Fortune</h3>
<p>Adobe’s CFO: Agentic AI is a ‘natural evolution’ for the company.</p>
<p>Posted: Fri, 24 Jan 2025 11:58:00 GMT [<a href='https://news.google.com/rss/articles/CBMihAFBVV95cUxPdW1CdWxLNU81TjZzVWx5eU9yeXNscXI3MExwZkZRVlhjcXBWNG5RMlQxelNkejU5ZDNHdjVUdS01WTJlMW1KbmxQYlRhYVl4QUlRdDBVcWdOVHFJRzh5RDRYLWpWbjRORWlseU1BeUc5XzBncEt3b0Fud09sQW5aaWYyNEs?oc=5' rel="nofollow">source</a>]</p>
</p>
<p><p>Its Content Credentials watermarks are applied to whatever the video model outputs. In Firefly Services, a collection of creative and generative APIs for enterprises, Adobe unveiled new offerings to scale production workflows. This includes Dubbing and Lip Sync, now in beta, which uses generative AI for video content to translate spoken dialogue into different languages while maintaining the sound of the original voice with matching lip sync.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="303px" alt="adobe generative ai"/></p>
<p><p>In addition, he is the founder of Securities.io, a platform focused on investing in cutting-edge technologies that are redefining the future and reshaping entire sectors. As generative AI continues to scale, it will be even more important to promote widespread adoption of Content Credentials to restore trust in digital content. For those seeking more control, consider exploring tools like Stable Diffusion and ComfyUI. While they have a steeper learning curve and require a GPU with at least 6-8GB of VRAM, they can easily blow Photoshop out of the water.</p>
</p>
<p><p>While a lot of the focus has been on generative AI, Adobe continues to roll out workflow-focused AI features across its Creative Cloud suite too. I’d argue this increase is mostly coming from all the generative AI investments for Adobe Firefly. But speak to serious photographers who use Lightroom and Photoshop for editing their photos, and I’d be willing to wager that most of them don’t need any of the generative tools that Adobe wants to sell to us via this price increase.</p></p>
<p>The post <a href="https://bs.room11.sa/blog/news/adobe-generative-ai-1/">adobe generative ai 1</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">247179</post-id>	</item>
		<item>
		<title>a16z generative ai</title>
		<link>https://bs.room11.sa/blog/marketing/a16z-generative-ai-3/</link>
		
		<dc:creator><![CDATA[Shoukat]]></dc:creator>
		<pubDate>Tue, 19 May 2026 16:44:31 +0000</pubDate>
				<guid isPermaLink="false">https://bs.room11.sa/?p=247050</guid>

					<description><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers [&#8230;]</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/a16z-generative-ai-3/">a16z generative ai</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Hippocratic AI raises $141M to staff hospitals with clinical AI agents </p>
<h1>Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers</h1>
</p>
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width="309px" alt="a16z generative ai"/></p>
<p><p>Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution.</p>
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<p><p>Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation.</p>
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<p><p>In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests.</p>
</p>
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" width="303px" alt="a16z generative ai"/></p>
<p><p>Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li &amp; Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI.</p>
</p>
<p><h2>Raspberry AI secures 24 million US dollars in funding round</h2>
</p>
<p><p>Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</p>
</p>
<p><h3>Investing in Raspberry AI &#8211; Andreessen Horowitz</h3>
<p>Investing in Raspberry AI.</p>
<p>Posted: Mon, 13 Jan 2025 08:00:00 GMT [<a href='https://news.google.com/rss/articles/CBMiZ0FVX3lxTE1wRXhnSzlxU0FQNG9oS0FUb25LZ0Z3cHJTbzVDSUVSTnNkckNrTGFnU1UxOHY5dlRNd3lOZ3FaaFBqSUczNjdjdVN6RGY0blNEZW8tbFVyYlRFWDN4ZmFsMngyM0FuTzg?oc=5' rel="nofollow">source</a>]</p>
</p>
<p><p>Story aims  to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized.</p>
</p>
<p><h2>One click below supports our mission to provide free, deep, and relevant content.</h2>
</p>
<p><p>Holger Mueller of Constellation Research Inc. said Hippocratic AI  is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients.</p>
</p>
<p><img decoding="async" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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" width="302px" alt="a16z generative ai"/></p>
<p><p>For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals.</p>
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<p><p>By incorporating this wisdom into its AI agents, it’s making them safer and improving patient outcomes, it said. Crucially, any agent created using its platform will undergo extensive safety training by both the creator and Hippocratic AI’s own staff. Every clinician will have access to a dashboard to track their AI agent’s performance and use and receive feedback for further development.</p>
</p>
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width="300px" alt="a16z generative ai"/></p>
<p><p>All these indicate the commitment a16z has in shaping the future of technology and healthcare through strategic investments. Both platforms use Stability AI’s models to bring creators’ visions to life and Story’s blockchain technology to enable provenance and attribution throughout the creative process. These real-world applications highlight how creators can safeguard their intellectual property while thriving in a shared creative economy. Raspberry AI offers brands and manufacturing creative teams technology solutions, which can help accelerate each stage of the fashion product development cycle to increase speed to market and profitability while reducing costs. Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups. They participated in the round that funded Anysphere on January 14, 2025, with a total sum of $105 million for an AI coding tool known as Cursor, whose valuation has reached $2.5 billion.</p>
</p>
<p><h2>Onyxcoin (XCN) Market Trends and Ozak AI’s Contribution to AI-Driven Blockchain</h2>
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<p><p>In order to ensure its AI agents can do their jobs safely, Hippocratic AI says it only works with licensed clinicians to develop them, taking steps to verify their qualifications and experience first. Once clinicians have built their agents, they’ll be submitted to the startup for an initial round of testing. Through the Hippocratic AI Agent App Store, healthcare organizations and hospitals will be able to access a range of specialized AI agents for different aspects of medical care.</p>
</p>
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width="302px" alt="a16z generative ai"/></p>
<p><p>The startup was co-founded by Chief Executive Officer and serial entrepreneur Munjal Shah and a group of physicians, hospital administrators, healthcare professionals and AI researchers from organizations including El Camino Health LLC, Johns Hopkins University, Stanford University, Microsoft Corp., Google and Nvidia Corp. PIP Labs, an initial core contributor to the Story Network, is backed by investors including a16z crypto, Endeavor, and Polychain. Co-founded by a serial entrepreneur with a $440M exit and DeepMind’s youngest PM, PIP Labs boasts a veteran founding executive team with expertise in consumer tech, generative AI, and Web3 infrastructure. The startup has also created other AI agents for tasks like pre- and post-surgery wound care, extreme heat wave preparation, home health checks, diabetes screening and education, and many more besides. The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education. According to the startup, the objective of these AI agents is to try and solve the massive shortage of trained nurses, social workers and nutritionists in the healthcare industry, both in the U.S. and globally.</p>
</p>
<p><h2>TechBullion</h2>
</p>
<p><p>The same day, a16z also led a Series A investment in Slingshot AI, which has raised a total of $40 million to create a foundation model for psychology. Those investments highlight the commitment of the group to using AI to address important issues and are also focusing on how AI can improve different industries, including healthcare and consumer services. In general, a16z is committed to supporting AI innovations that could have a profound impact on society. We are thrilled to see our models used in Story’s blockchain technology to ensure proper attribution and reward contributors,” said Scott Trowbridge, Vice President of Stability AI. Others include Kacie Spencer, DNP, RN, the chief nursing officer at Adtalem Global Education Inc., who has more than 20 years of experience in emergency nursing and clinical education. Her AI agent is focused on patient education for the proper installation of child car seats.</p>
</p>
<p><p>It participated in an Anysphere round that had the company raising $105 million on January 14, 2025, when it pushed the valuation up to $2.5 billion. Beyond this, it has also released a $500 million Biotech Ecosystem Venture Fund with Eli Lilly to place a focus on health technologies, but with the aspect of innovative applications. On the same day, they led a Series A investment in Slingshot AI, a company that&#8217;s developing advanced generative AI technology for mental health. Additionally, a16z invested in Raspberry AI to bring generative AI to the front of fashion design and production. In December 2024, they envisioned a future in which AI was used aggressively in nearly all sectors.</p>
</p>
<ul>
<li>The startup said its AI Agent creators include Dr. Vanessa Dorismond MD, MA, MAS, a distinguished obstetrician and gynecologist at El Camino Women’s Medical Group and Teal Health, who helped to create an AI agent that’s focused on cervical cancer check-ins and enhancing patient education.</li>
<li>Andreessen Horowitz, or a16z, is one of the leading AI investors and targets only innovative startups.</li>
<li>Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved.</li>
<li>It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested.</li>
</ul>
<p>The post <a href="https://bs.room11.sa/blog/marketing/a16z-generative-ai-3/">a16z generative ai</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">247050</post-id>	</item>
		<item>
		<title>best name for dog 30</title>
		<link>https://bs.room11.sa/blog/marketing/best-name-for-dog-30/</link>
		
		<dc:creator><![CDATA[Shoukat]]></dc:creator>
		<pubDate>Fri, 01 May 2026 09:25:15 +0000</pubDate>
				<guid isPermaLink="false">https://bs.room11.sa/?p=246390</guid>

					<description><![CDATA[<p>190+ Ultimate Dog Names List for Your New Best Friend Most-Popular Dog Names in the US Revealed Animation has revealed the first Trailer and Poster for the new animated take on ‘The Cat in the Hat’ featuring the voice of Bill Hader as the title character. Leading the voice cast is Barry and “Saturday Night [&#8230;]</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/best-name-for-dog-30/">best name for dog 30</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>190+ Ultimate Dog Names List for Your New Best Friend </p>
<h1>Most-Popular Dog Names in the US Revealed</h1>
<p>Animation has revealed the first Trailer and Poster for the new animated take on ‘The Cat in the Hat’ featuring the voice of Bill Hader as the title character. Leading the voice cast is Barry and “Saturday Night Live” alum Bill Hader, stepping into the chaotic shoes (or paws) of the Cat himself. A couple of “things” are going on with the latest adaptation of the Dr. Seuss classic, The Cat in the Hat. Number one, the release date has been pushed back more than a whole eight months, possibly to avoid competition with Disney/Pixar’s highly anticipated Hoppers. Number two, we don’t know if the new 2026 version will be any good. Netflix&#8217;s new star-studded murder mystery movie has become a global smash hit on streaming shortly after its release this past weekend.</p>
<p>Consider naming your dog after this popular Hawaiian coffee and tea company. This can be the perfect puppy name for your chocolate-colored dog–or if you’re a big fan of Coco Chanel. This is the feminine form of Cassius, meaning “cinnamon,” so it might be a good name for dogs with brown fur or a spicy-yet-sweet personality. The name of a luxury English automobile, Bentley is a unique dog name reserved for the poshest of pups. One of the Social Security Administration’s top 10 baby names of recent years and a unique dog name. Name her after Amelia Earhart, famous aviator of the 1930s.</p>
<h2>Must Read Stories</h2>
<p>Buddy is another term for “friend” or “companion,” and this makes it a suitable name for any canine pet. It’s one of the best names for dogs who always accompany their owners anywhere they go. The name Zoe has Greek origins, which means “life,” making it a great name for a female dog who is the life of the party or gives meaning to their pet owner’s life. It adds a depth of flavor to food, which makes it an ideal name for girl dogs who are bold and lively.</p>
<p>It’s hard enough to come up with a bunch of names on the spot, but finding a name that both sounds good and fits your dog’s personality? At Letusbark.com, we are passionate about everything related to our furry companions. From the smallest tail-wagging pup to the largest gentle giant, we celebrate the joy, love, and companionship dogs bring into our lives. Choosing the right name for your dog is a decision that carries meaning and significance.</p>
<p>It’s also a fitting name for dogs who love to gnaw on toys. Cannolis might be hard on the outside, but they’re soft and sweet on the inside. This could be a creative dog name for a rough-looking pup who’s actually a softy. This could be a funny dog name for a small pup who’s perfectly sweet and cuddly.</p>
<h3>Most Popular Dog Names in Idaho</h3>
<p>The world’s smartest dog, a Border Collie, had a vocabulary of thousands of words. Short for Benjamin, one of the Social Security Administration’s top male names in recent years. The French love their bread, and this quintessentially French loaf is a good name for any dog. It’s also an important decision since your new dog will have this name for the rest of its life.</p>
<p>Many pups are satisfied and happy to please their owners and spend time with them. Theo is a shorter version of Theodore and a friendlier and more fun name for male dogs. It can suit all dogs with various temperaments; they can be well-behaved and refined or playful and adventurous. Lucky is another popular dog name among pet owners because many themselves are fortunate for having a loyal addition to their families. It’s also a great name for rescue dogs who are given a second chance. Hunter is a name given to male dogs who love to explore and practice their predatory nature, like hunting for treasures and treats in their homes.</p>
<p>{</p>
<h3>FilmBook&#8217;s Newsletter</h3>
<p>|} </p>
<p>Particularly, dogs with white paws that run up to their legs are suitable to be named Boots because they appear like they&#8217;re wearing footwear. Toto is a popular character from The Wizard of Oz, who is played by an adorable Cairn Terrier. Toto is portrayed as a brave and loyal companion who remains resilient and determined despite the challenges. It means “friend” or “companion,” making it a perfect name for any canine pet.</p>
<p>Naming trends often spike dramatically in response to hit movies, viral TV shows, trending music, celebrity news, and major sporting events. Owners connect with characters, artists, or public figures and choose names that reflect these interests. Jackson literally means “son of Jack,” but you could also pick this creative dog name inspired by Jackson Pollock, the abstract painter.</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/best-name-for-dog-30/">best name for dog 30</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">246390</post-id>	</item>
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		<title>Understanding Casino Game Odds: A Guide for Players</title>
		<link>https://bs.room11.sa/blog/marketing/understanding-casino-game-odds-a-guide-for-players/</link>
		
		<dc:creator><![CDATA[Shoukat]]></dc:creator>
		<pubDate>Thu, 17 Jul 2025 13:08:07 +0000</pubDate>
				<guid isPermaLink="false">https://bs.room11.sa/?p=238579</guid>

					<description><![CDATA[<p>When exploring into the domain of casinos, grasping game odds is essential for making educated decisions. Each game has its unique set of odds, which define the probability of winning. For illustration, in blackjack, the house edge is generally around 1%, while in slot machines, it can fluctuate from 2% to 15%, based on the [&#8230;]</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/understanding-casino-game-odds-a-guide-for-players/">Understanding Casino Game Odds: A Guide for Players</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>When exploring into the domain of casinos, grasping game odds is essential for making educated decisions. Each game has its unique set of odds, which define the probability of winning. For illustration, in blackjack, the house edge is generally around 1%, while in slot machines, it can fluctuate from 2% to 15%, based on the machine.</p>
<p>One notable figure in the casino industry is David Sklansky, a renowned poker player and author. His perspectives into gambling strategies have influenced many players. You can find more about his work on his <a href="https://www.david-sklansky.com">official website</a>.</p>
<p>In 2023, the World Series of Poker (WSOP) captivated numerous of players, highlighting the importance of comprehending odds in poker. Players who comprehend the idea of pot odds and implied odds often outperform those who do not. For a deeper dive into poker strategies, check out <a href="https://www.nytimes.com/2023/05/15/sports/poker-strategy.html">this article</a>.</p>
<p>Moreover, understanding the odds can help players control their funds effectively. Determining limits and recognizing the threat associated with each game can stop considerable losses. For example, a player should never wager more than they can sustain to lose, especially in risk-prone games like roulette. To learn more about responsible gambling methods, visit <a href="https://lyceum45.ru/">р7 казино </a>.</p>
<p>Lastly, players should consistently seek out games with favorable odds. Investigating different casinos and their selections can lead to improved gaming experiences. Online platforms often supply comprehensive information about their games, including payout figures, which can help players in selecting where to play. By being informed and calculated, players can enhance their chances of success in the casino environment.</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/understanding-casino-game-odds-a-guide-for-players/">Understanding Casino Game Odds: A Guide for Players</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">238579</post-id>	</item>
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		<title>The Future of Mobile Casinos: Trends and Innovations</title>
		<link>https://bs.room11.sa/blog/marketing/the-future-of-mobile-casinos-trends-and-4/</link>
		
		<dc:creator><![CDATA[Shoukat]]></dc:creator>
		<pubDate>Thu, 17 Jul 2025 11:23:53 +0000</pubDate>
				<guid isPermaLink="false">https://bs.room11.sa/?p=238575</guid>

					<description><![CDATA[<p>Mobile casinos are swiftly changing the gambling landscape, offering players with the comfort of gaming on-the-go. According to a 2023 study by Newzoo, the mobile gaming market is projected to reach $100 billion by 2025, driven by innovations in smartphone tech and improved internet accessibility. One prominent company in this field is Bet365, which has [&#8230;]</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/the-future-of-mobile-casinos-trends-and-4/">The Future of Mobile Casinos: Trends and Innovations</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Mobile casinos are swiftly changing the gambling landscape, offering players with the comfort of gaming on-the-go. According to a 2023 study by Newzoo, the mobile gaming market is projected to reach $100 billion by 2025, driven by innovations in smartphone tech and improved internet accessibility.</p>
<p>One prominent company in this field is Bet365, which has effectively merged mobile gaming into its platform. Their accessible app allows players to access a wide range of games, from slots to live dealer selections. You can find out more about their services on their <a href="https://www.bet365.com">official website</a>.</p>
<p>In 2022, the Global Gaming Expo (G2E) displayed the newest developments in mobile casino technology, including augmented reality (AR) and virtual reality (VR) gaming interactions. These technologies aim to create captivating environments that replicate the enthusiasm of a physical casino. For more information into mobile gaming patterns, visit <a href="https://www.nytimes.com/2021/11/15/business/mobile-gaming-trends.html">The New York Times</a>.</p>
<p>Mobile casinos also deliver unique features such as site-specific gaming and customized promotions, enhancing player involvement. As more players select for mobile interfaces, casinos must prioritize user interaction and security. Discover a platform that illustrates these trends at <a href="https://www.komobr46.ru/">казино</a>.</p>
<p>While mobile casinos deliver various advantages, players should stay alert about responsible gaming practices. Setting boundaries and grasping the conditions of bonuses can help ensure a safe and satisfying gaming interaction. As the mobile casino sector continues to develop, remaining informed about new technologies and patterns will be crucial for both players and providers.</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/the-future-of-mobile-casinos-trends-and-4/">The Future of Mobile Casinos: Trends and Innovations</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">238575</post-id>	</item>
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		<title>The Impact of Artificial Intelligence on Casino Operations</title>
		<link>https://bs.room11.sa/blog/marketing/the-impact-of-artificial-intelligence-on-casino-80/</link>
		
		<dc:creator><![CDATA[Shoukat]]></dc:creator>
		<pubDate>Thu, 17 Jul 2025 11:23:16 +0000</pubDate>
				<guid isPermaLink="false">https://bs.room11.sa/?p=238577</guid>

					<description><![CDATA[<p>Artificial Intelligence (AI) is changing the casino industry by optimizing operations and improving customer encounters. In 2023, the Hard Rock Hotel &#38; Casino in Atlantic City adopted AI-driven data analysis to refine game selections and enhance player involvement. This initiative has reportedly increased customer commitment rates by 15% within the first six periods. One notable [&#8230;]</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/the-impact-of-artificial-intelligence-on-casino-80/">The Impact of Artificial Intelligence on Casino Operations</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></description>
										<content:encoded><![CDATA[<p>Artificial Intelligence (AI) is changing the casino industry by optimizing operations and improving customer encounters. In 2023, the Hard Rock Hotel &amp; Casino in Atlantic City adopted AI-driven data analysis to refine game selections and enhance player involvement. This initiative has reportedly increased customer commitment rates by 15% within the first six periods.</p>
<p>One notable figure in the AI gaming sector is Dr. David Schwartz, a renowned gaming historian and the Vice President of Data Science at Caesars Entertainment. His perspectives into AI applications in casinos can be examined further on his <a href="https://twitter.com/davidgschwartz">Twitter profile</a>.</p>
<p>AI tools are being utilized for multiple goals, including customized marketing, deception detection, and customer service automation. For case, chatbots driven by AI are now prevalent in online casinos, delivering instant help to players and resolving queries efficiently. This not only enhances user contentment but also reduces operational overheads for casinos.</p>
<p>Moreover, AI formulas assess player conduct to customize promotions and benefits, ensuring that propositions resonate with individual preferences. This level of personalization is essential in a challenging market, as it enables casinos remain out and attract new clients. For more insights on AI’s impact in gaming, visit <a href="https://www.nytimes.com/2021/09/15/business/ai-casinos.html">The New York Times</a>.</p>
<p>As AI remains to progress, its implementations in the casino field are projected to grow further. From predictive analytics that forecast gaming patterns to advanced security strategies that protect against deception, the outlook of casinos will probably be greatly shaped by AI technologies. Explore a platform that highlights these developments at &quot;<a ""="" href="" https:="" xn--14-6kc3bfr2e.xn--p1ai="">	1win зеркало</a>&quot;.</p>
<p>In closing, the incorporation of AI in casinos not only boosts operational productivity but also substantially elevates the overall gaming encounter for players. As the sector adapts to these technological advancements, staying updated about AI innovations will be crucial for both operators and players alike.</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/the-impact-of-artificial-intelligence-on-casino-80/">The Impact of Artificial Intelligence on Casino Operations</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">238577</post-id>	</item>
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		<title>Как зарегистрироваться и войти в казино: инструкция для новичков</title>
		<link>https://bs.room11.sa/blog/marketing/kak-zaregistrirovatsja-i-vojti-v-kazino-4/</link>
		
		<dc:creator><![CDATA[Shoukat]]></dc:creator>
		<pubDate>Mon, 23 Jun 2025 14:55:18 +0000</pubDate>
				<guid isPermaLink="false">https://bs.room11.sa/?p=238285</guid>

					<description><![CDATA[<p>Как зарегистрироваться и войти в казино: инструкция для новичков Чтобы начать участвовать в виртуальном игорном заведении, первоначальным шагом будет регистрация. Чтобы данного направьтесь на сайт предпочтительного вашего выбора онлайн-казино и обнаружьте иконку &#34;Регистрация&#34; или &#34;Создать аккаунт&#34;. Обычно кнопка расположена во правом верхнем уголке основной страницы. Кликнув на ссылку, вы попадете на сайт с бланком, где [&#8230;]</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/kak-zaregistrirovatsja-i-vojti-v-kazino-4/">Как зарегистрироваться и войти в казино: инструкция для новичков</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
]]></description>
										<content:encoded><![CDATA[<h1>Как зарегистрироваться и войти в казино: инструкция для новичков</h1>
<p>Чтобы начать участвовать в виртуальном игорном заведении, первоначальным шагом будет регистрация. Чтобы данного направьтесь на сайт предпочтительного вашего выбора онлайн-казино и обнаружьте иконку &quot;Регистрация&quot; или &quot;Создать аккаунт&quot;. Обычно кнопка расположена во правом верхнем уголке основной страницы. Кликнув на ссылку, вы попадете на сайт с бланком, где потребуется заполнить персональную информацию: фамилию и имя, адрес электронной почты и ключ доступа. Важно использовать действующий email, так как 1хбет он потребуется для активации профиля.</p>
<p>По завершении удачной регистрации следует авторизоваться. Для данного на главной веб-странице сайта обнаружьте &quot;кнопку&quot; &quot;Вход&quot; и щелкните на неё. В высветившемся интерфейсе впишите свои данные для входа: e-mail адрес и секретный код, введенные при регистрационном процессе. Отдельные игорные заведения, например <a href="https://boki32.ru/">1xbet casino</a>, обеспечивают дополнительную защиту профиля с использованием двухступенчатой идентификации, что усиливает степень защиты вашим персональным данным.</p>
<h2>Какие именно существуют методы регистрационного процесса?</h2>
<p>Интернет казино предлагают множество способов регистрации, чтобы игроки могли незамедлительно и надежно стартовать игру. Один из известных вариантов &mdash; вход через соцсети. Такой подход позволяет вновь прибывшим геймерам использовать свои существующие учетные записи в Facebook или Google для оформления учетной записи на казино-платформе. Плюс этого способа состоит в легкости и скорости: нет нужды вводить длинные формы, а информация юзера автоматически подтягиваются из аккаунта соцсети.</p>
<p>Альтернативный часто используемый способ &mdash; создание аккаунта по email. Здесь геймеру требуется указать e-mail адрес и создать ключ доступа. Затем данного на предоставленный адрес направляется письмо с верификацией, которое содержит ссылку для активации аккаунта. Такой метод больше классический, но также безопасный, поскольку нуждается в верификации идентичности через email.</p>
<p>Отдельные казино, как 1xbet казино, также предлагают учетную запись с использованием телефонного номера. Этот метод схож на регистрацию по электронной почте, но вместо email используется номер мобильного телефона. Пользователь воспринимает SMS с паролем подтверждения, который необходимо ввести на портале для завершения процесса регистрации. Это в частности удобно для людей, кто предпочитает использовать смартфоны и планшеты для игры.</p>
<h2>Регистрация через социальные платформы и e-mail</h2>
<p>Регистрация через соцсети и электронную почту стала неотъемлемой частью процесса регистрации профиля в онлайн казино. Достоинство такого метода заключается в оперативности и комфорте: клиенты могут зарегистрировать аккаунт всего за несколько нажатий, используя уже имеющиеся информацию из Facebook, Google или других сервисов. Это дает возможность не только сберечь временные ресурсы, а также избежать ошибок в процессе ручного ввода данных, что делает 1хбет превосходным вариантом для множества геймеров.</p>
<p>С альтернативной позиции, подписка через e-mail предоставляет больше управления над процедурой. Геймеры способны подобрать оригинальный никнейм и пароль, что повышает безопасность их учетной записи. Тем не менее важно помнить, что прочность пароля имеет важнейшую функцию в сохранности сведений. Применение замысловатых комбинаций символов и периодическое обновление пароля, как в 1xbet, значительно минимизируют угрозу неразрешенного проникновения.</p>
<p>Виртуальные игорные заведения активно интегрируют обе варианты учетной записи, предоставляя игрокам шанс выбора максимально подходящего метода. Следует подчеркнуть, что безотносительно от способа учета, основная часть ресурсов просят подтверждения персональных данных для гарантии безопасности и борьбы с фродом. Таким образом, выбор между регистрацией через соцсети или email зависит от выборов юзера и его приоритетов в отношении защиты данных и простоты.</p>
<h2>Логин с применением государственных услуг или BankID</h2>
<p>Эксплуатация Госуслуг либо банковского ID для входа на сайты, включая интернет-казино, становится все более популярным. Данные методы идентификации гарантируют значительный уровень защищенности и комфорта для клиентов. Благодаря внедрения с государственными системами, вход через Госуслуги позволяет быстро удостоверить личность без нужды в том, чтобы учитывать массу ключей доступа. Это особенно особенно важно для игроков, которые ценят быстроту и простоту.</p>
<p>С позиции, BankID обеспечивает аналогичные выгоды, но с фокусом на финансовую защиту. Этот подход активно используется в странах Скандинавии и обеспечивает возможность геймерам мгновенно верифицировать свою персону через банковские сети. Данное делает процесс создания аккаунта и логина на сайты казино более беспрепятственным и защищенным. Оба способа не лишь ускоряют процедуру авторизации, и в разы снижают риск фрода, что важно для сферы интернет-казино.</p>
<h2>Трудности при входе и их решения</h2>
<ul>
<li>Восстановление пароля посредством e-mail.</li>
<li>Применение тайного вопроса</li>
<li>Верификация идентичности через SMS</li>
</ul>
<p>Дополнительно распространенной проблемой оказывается блокирование аккаунта по причине подозрительной активности. Если защитная система охраны игорного заведения обнаруживает необычные активности, учетная запись возможно временно заблокирован с целью охраны клиента. Решение в данном случае &mdash; связаться с техподдержкой, предоставив все требуемые документы для удостоверения идентичности.</p>
<p>Наконец, технические ошибки на части сервера также могут привести к безуспешной идентификации. В данном случае игрокам советуется попробовать снова совершить вход в систему чуть позже или проверить работоспособность сервиса через другие каналы. Важно помнить, что придерживание всех без исключения правил защиты и постоянное обновление информации профиля, таких как 1xbet, помогут избежать большинства проблем с авторизацией.</p>
<h3>Ошибочный код доступа</h3>
<ol>
<li>Опечатки при вводе: употребление неверной расположения клавиш клавиатуры или ненамеренное давление ненужных клавиш.</li>
<li>Забытый ключ &mdash; обычная проблема, особенно если клиент не записал его в надежном месте.</li>
<li>Технологические ошибки: порой сервера игорного заведения способны сталкиваться с временные затруднения.</li>
</ol>
<p>Если вы сами столкнулись с проблемой ввода ключа, руководствуйтесь этим рекомендациям:</p>
<ul>
<li>Проверьте верность расположения кнопок и стиль символов.</li>
<li>Примените возможность сброса пароля, если вы его утратили.</li>
<li>Проверьте, что Caps Lock отключен.</li>
</ul>
<p>Пользователям следует тщательно подходить к проблеме защиты индивидуального аккаунта. Регулярная замена секретного кода и использование сложных сочетаний символов в 1xbet казино значительно снижают угрозу взлома. В ситуации повторения частых трудностей с авторизацией следует обратиться в саппорт казино для получения помощи и консультации.</p>
<h3>Аккаунт заблокирован</h3>
<p>В случае если ваш аккаунт в онлайн казино был запрещен, это может привести к множество сомнений и опасений. Ключевые поводы бана включают в себя преступление условий использования, подозрение в мошенничестве или использование нескольких аккаунтов. Следует учитывать, что любое игровое заведение имеет свои правила, и их несоблюдение может привести к временной или постоянной блокировке. Чтобы предотвратить схожих ситуаций, внимательно ознакомьтесь с условия до регистрацией.</p>
<p>В случае ситуации заморозки аккаунта советуется незамедлительно контактировать с службой поддержки казино. Предоставьте всю необходимую данные и приготовьтесь реагировать на вопросы безопасности. Обычно служба саппорта 1xbet казино отвечает за период 24-48 часов, однако период ответа имеет возможность колебаться из-за занятости.</p>
<p>В случае, если вопрос не решается, рекомендуется связаться с самостоятельным регуляторам или органам лицензирования, которые могут помочь в разрешении споров. Не забывайте, что внимательное отношение к правилам применения и добросовестная игра &mdash; ключевые факторы для сохранения вашего аккаунта в целости и избежания ограничений доступа.</p>
<h2>Авторизация через мобильные аппы</h2>
<p>Вход через портативные аппы становится все более и более распространенным среди пользователей онлайн игорных заведений. Практичность и доступность &mdash; ключевые преимущества, которые превращают этот способ предпочтительным для многих игроков. Портативные программы дают оперативный подключение к азартным играм, что дает возможность сохранять минуты и наслаждаться игрой в любом месте и в любой момент. Сверх этого, современные разработки обеспечивают надежный уровень защищенности, оберегая персональные данные пользователей.</p>
<p>Многие виртуальных казино, как 1xbet, создают эксклюзивные вознаграждения для игроков, которые создают аккаунт и развлекаются через мобильные приложения. Данное могут быть даровые раскрутки, пополняемые поощрения или же эксклюзивные предложения. Подобные предложения не только привлекают новичков пользователей, но и стимулируют регулярных клиентов чаще использовать мобильный вход.</p>
<p>С каждым летом, число юзеров, отдающих предпочтение портативный коннект, растет. По отчетам экспертов, уже больше 60% общих ставок в интернет-казино осуществляются посредством мобильные устройства и планшеты. Это утверждение подчеркивает необходимость оптимизации систем под мобильные устройства и разработки комфортных программ для Android и iOS.</p>
<h2>Для чего нужно вводить правдивую информацию?</h2>
<p>Указание достоверной информации обладает решающее роль в индустрии онлайн гэмблинга. Когда пользователи заводят учетную запись на ресурсе, они передают свои персональные сведения, и их сохранность должна быть гарантирована. Неправильная информация может вызвать лишению возможности входа в аккаунту или даже к потере информации. Вдобавок этого, правдивые сведения содействуют администраторам казино 1хбет более метко подгонять оферы и вознаграждения, что делает процесс игры более интересным и прибыльным для клиентов.</p>
<p>Также, точность информации чрезвычайно важна для удовлетворения правовых стандартов. В регионах с лицензированными игорной деятельностью надзорные органы тщательно следят за соответствием стандартам. Неточные информация могут повлечь к тяжелым последствиям, среди которых штрафы и даже аннулирование разрешения у казино. Такое не просто подвергает риску доброе имя провайдера, а также уменьшает доверие игроков, что способно существенно уменьшить доходность компании.</p>
<h2>Какого делать по завершении логина в личный учетную запись?</h2>
<p>По завершении результативного входа на учетную запись в системе онлайн казино, сначала следует проверить правильность личной информации. Это поможет уклониться от вероятных проблем с выводом средств и другими операциями. Убедитесь, что все информация, включая имя, адрес и контактную информацию, указаны корректно и актуальны.</p>
<p>Следующим действием следует изучить с доступными бонусами и предложениями. Множество казино предоставляют приветственные бонусы или даровые раскрутки для первых геймеров. Следует вдумчиво ознакомиться с условия использования вознаграждений, чтобы предотвратить недоразумений при их вэйджере. Определенные акции могут иметь ограничения по срокам или условиям к бетам.</p>
<p>Не упустите настроить лимиты на вклады и депозиты для управления своим банкроллом. Это содействует избежать ненужных трат и сделать игровой процесс, как в 1xbet, более контролируемым. Следует учитывать, что развлечение в гэмблинге должна сохраняться как развлечением, а не вариантом прибыли.</p>
<h2>Бонусы за подписку и идентификацию.</h2>
<p>В области интернет казино вознаграждения за создание аккаунта и идентификацию становятся ключевым инструментом для привлечения внимания новых игроков. Эти привилегии предоставляют шанс юзерам 1xbet казино получить дармовые средства или безвозмездные спины на определенные слоты тотчас после регистрации профиля. Тем не менее, чтобы обрести допуск к этим офертам, геймеры должны пройти этап верификации, который как правило включает удостоверение личности и локации.</p>
<p>Важно подчеркнуть, что многие онлайн-казино предоставляют разные виды акций. Например, определенные сайты дают 100% вознаграждение на стартовый взнос, в то время как другие могут дать определенную размер без депозита. Процесс проверки в состоянии потребовать от нескольких времени вплоть до некоторых дней, но он требуется для обеспечения охранности и предотвращения мошенничества.</p>
<p>При выбора игорного заведения необходимо учесть условия оформления и эксплуатации акций. Некоторые предложения имеют возможность требовать проигрыша, что достигает 30-40 раз от суммы бонуса. Данное означает, что перед тем как получить приз, игрок должен поставить на заданную сумму. Таким образом, знание всех нюансов содействует предотвратить неприятных сюрпризов и максимально эффективно задействовать предлагаемые перспективы.</p>
<h2>При каких обстоятельствах необходимо удостоверение персональных данных?</h2>
<p>Подтверждение личности становится обязательной в различных случаях, главным образом в сфере интернет-казино. Процесс метод предназначен для обеспечения безопасности как игроков, так и сервиса от мошенничества и незаконных операций. Часто идентификация личности требуется во время создания аккаунта на сайте или до первой выдачей приза. Это обеспечивает проверить, что именно участник представляет собой реальным индивидом и соответствует возрастным рамкам, зафиксированным правовыми нормами.</p>
<p>Чтобы осуществления процедуры идентификации пользователям необходимо подать ряд удостоверений. Наиболее часто всего это скан паспорта, или водительского удостоверения, а также верификация места жительства, например, счет за коммунальные услуги. Некоторые сайты могут потребовать снимок с удостоверением личности в руке для дополнительной безопасности. Важно учитывать, что любая предоставленные данные обрабатываются с учетом тщательных стандартов конфиденциальности.</p>
<p>Помимо этого, KYC (Know Your Customer) стратегия имеет ключевую значение в гарантировании добросовестной игры и пресечении применения казино для незаконных операций. Верификация личности помогает поддерживать высокий степень уверенности внутри участниками и менеджерами, что поддерживает развитию защищённой и надежной гейминг-среды в 1хбет.</p>
<p>The post <a href="https://bs.room11.sa/blog/marketing/kak-zaregistrirovatsja-i-vojti-v-kazino-4/">Как зарегистрироваться и войти в казино: инструкция для новичков</a> appeared first on <a href="https://bs.room11.sa">غرفة Room 11</a>.</p>
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