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SE.ai site is live y'all -- we are actively recruiting #medtech #startups for our first #partnership program cohort. Partners will get exclusive access to our initial MVP dropping in early 2025 and discounts on the rest of our pipeline as we roll it out with your feedback. There are limited spots available and we have several filled already. Looking for a good variety of devices with inventors who want to shape the future of regulatory compliance with us into something more intuitive, fast, and affordable. Wondering if you're a fit? DM me and let's talk.

?? 12 Days of ChatGPT: Innovation on the Horizon! ?? Get ready for something big! Sam Altman just dropped some exciting news at the NYT DealBook Summit that's set to transform the AI landscape. OpenAI is launching a 12-day spectacular of live-streamed launches and demos that promises to keep the tech world on the edge of their seats. Some mind-blowing context to set the stage: - ChatGPT has already exploded to 300 million weekly active users - 1 billion messages are exchanged daily - 1.3 million U.S. developers are leveraging this groundbreaking technology But here's what's truly exciting: Altman hints at potential early glimpses of AGI (Artificial General Intelligence) as soon as 2025. While the initial impact might seem subtle, the long-term implications could be nothing short of revolutionary. What can we expect in these 12 days? A mix of major reveals and smaller updates that could reshape how we think about AI, productivity, and innovation. Whether you're a tech enthusiast, a developer, or simply curious about the future, these upcoming demos are not to be missed. Stay tuned, stay curious, and get ready to witness the next leap in artificial intelligence! ?? #AI #ChatGPT #OpenAI #TechInnovation #FutureOfTechnology Follow 15minAi for more updates of AI! What are your predictions for these upcoming reveals? Drop a comment below! ??

Tencent's release of #HunyuanVideo marks a significant milestone in AI video generation. This open-source, open-weights model boasts 13 billion parameters, making it the largest publicly available model of its kind. Here's a detailed summary of its key features and implications: ?? Performance and Capabilities Superior Motion Quality: In professional evaluations involving over 1,500 prompts assessed by 60 experts, HunyuanVideo achieved a 64.5% score for motion quality, outperforming Runway Gen-3's 48.3%. Versatile Functionality: - Text-to-video generation - Image-to-video conversion - Avatar animation - Synchronized audio generation for video content Advanced Architecture: HunyuanVideo combines: - Text understanding - Visual processing - Advanced motion capabilities This integration allows for coherent action sequences and smooth scene transitions. ?? Technical Specifications - Parameters: 13 billion - Architecture: Based on the DiT (Diffusion Transformer) design with several upgrades - Language Support: Both Chinese and English input - GPU Requirements: At least 60GB of GPU memory (e.g., Nvidia H800/H20) ?? Innovative Features 1. Video-to-Audio Synthesis: Automatically generates synchronized sound effects and background music for videos. 2. Avatar Control: Enables precise control over digital characters through voice, facial expressions, or body poses. 3. Efficiency Improvements: Novel scaling techniques reduced computational requirements by up to 80% while maintaining performance. 4. 3D VAE Compression: Utilizes a 3D Variational Autoencoder to compress pixel-space videos and images into a compact latent space. 5. Prompt Rewrite: Incorporates a fine-tuned Hunyuan-Large model to adapt user prompts to model-preferred formats. ? Availability and Access - Open-Source: Complete system, including video-to-audio module and avatar animation tools, available on GitHub. - Commercial Access: Enterprise clients can integrate the model through Tencent Cloud. - Trial Access: Available on the Tencent Yuanbao app for users to apply. - Third-Party Implementation: Services like FAL.ai have already created accessible versions. ??? Current Limitations - Generation Time: Some implementations may take up to 15 minutes to generate 5 seconds of video. - Prompt Adherence: Early tests suggest that prompt adherence, particularly in English, may not be as strong as some commercial alternatives. ?? Significance The release of HunyuanVideo as an open-source, open-weights model that matches or exceeds the performance of top closed-source options represents a major advancement in AI video generation. This development provides a robust foundation for further research and commercial applications, potentially accelerating progress in the field. Follow 15minAi for more updates of AI! Image source: aivideo.Hunyuan.Tencent

#WorldLabs, co-founded by AI pioneer Fei-Fei Li, has unveiled an innovative AI system that transforms single images into interactive 3D environments. This groundbreaking technology allows users to explore and interact with generated 3D scenes directly through a web browser. ? Key Features - 3D Environment Generation: The AI creates complete 3D worlds from a single 2D image, extending beyond the visible elements in the original picture. - Consistency: Generated scenes maintain consistency as users explore them from different angles. - Real-time Interaction: Users can navigate the 3D space using keyboard and mouse controls, albeit within a limited area. - Camera Effects: The system offers real-time camera effects such as adjustable depth of field and dolly zoom. - Interactive Elements: Users can manipulate scenes with dynamic lighting changes and other modifications. - Versatility: The AI works with both photographs and AI-generated images, allowing integration with text-to-image tools and famous artworks. ??? Technical Aspects - The AI approximates 3D geometry from the input image and fills in the scene beyond the visible elements. - The system adapts to various art styles and scenes. - The output is rendered live in the browser. ?? Potential Applications - Video game development - Filmmaking - Virtual education - Architecture visualization - Creative workflows for artists and designers ??? Company Information - World Labs has raised $230 million in venture capital. - The company is valued at over $1 billion. - World Labs aims to release its first product in 2025. This technology represents a significant advancement in 3D content creation, potentially democratizing the process of generating sophisticated virtual worlds. It promises to revolutionize various industries by making the creation of immersive 3D environments as accessible as generating 2D images is today. Follow 15minAi for more updates of AI! Video source: World Labs

?? The AI Policy Landscape in 2023: A Transformational Year for Governance ?? 2023 marked a monumental year in AI governance worldwide. Here are some key highlights from the 2024 AI Index Report from Standford University: ?? Legislative Surge: - The U.S. proposed 181 AI-related bills, more than doubling the 88 proposed in 2022.?? - Globally, AI mentions in legislative discussions surged from 1,247 in 2022 to 2,175 in 2023, a nearly tenfold increase since 2016. ?? Regulatory Advancements: - U.S. AI Regulations: Grew by 56.3% in 2023, reaching 25 regulations, up from a single regulation in 2016. Agencies like the Department of Transportation and OSHA joined the fold, showcasing AI’s expansive influence. - EU AI Act: A landmark legislation adopting a risk-based framework, including transparency mandates for generative AI like ChatGPT. ?? Global Milestones: - AI discussions spanned 49 countries, with the UK, US, and Australia leading legislative mentions. - New AI strategies emerged in Antigua, Barbados, Costa Rica, and others, expanding the roster to 75 national strategies globally. ?? Significant Initiatives: - White House AI Commitments: Seven tech giants pledged to develop safe, secure, and reliable AI systems. - UK AI Safety Institute: The world's first government-supported entity dedicated to advancing AI safety. This unprecedented momentum signals an era where AI governance is becoming a universal priority, aiming to balance innovation with ethical safeguards. ??? Follow 15minAi for more updates of AI!

Amazon has developed a new AI model codenamed #Olympus, focusing on advanced video and image processing capabilities. Key details include: 1. Capabilities: ??- Multimodal processing of text, images, and videos ??- Advanced scene understanding and analysis in images and videos ??- Precise tracking of specific elements (e.g., basketball trajectory, underwater equipment) ??- Natural language search for specific video scenes 2. Technical Specifications: ??- Large Language Model (LLM) with 2 trillion parameters ??- Development versions ranging from 400 billion to 2 trillion parameters 3. Potential Applications: ??- Sports analytics requiring frame-precise motion tracking ??- Underwater equipment inspection for oil and gas operations ??- Media archive search and content discovery optimization 4. Strategic Implications: ??- Reduces reliance on Anthropic's Claude chatbot ??- Potential integration with AWS ??- Aims to compete through specialized video processing and competitive pricing 5. Timeline and Development: ??- First spotted by The Rundown over a year ago ??- Potential release as early as next week at AWS re:Invent conference 6. Market Context: ??- Developed despite Amazon's recent $8 billion investment in Anthropic ??- Positions Amazon to compete in the AI market dominated by Google, Microsoft, and OpenAI This development marks Amazon's strategic entry into the video AI market, currently led by specialized providers like Twelve Labs and Google's Gemini. By focusing on video analysis capabilities, Amazon is targeting a relatively untapped market segment with potential applications in sports analytics, media companies, and industrial inspections. Follow 15minAi for more updates of AI!

?? AI vs. Human Experts: A Neuroscience Breakthrough ?? Exciting research from University College London reveals how AI is transforming scientific prediction: ?? Key Findings: ? AI Large Language Models (LLMs) achieved 81% accuracy in predicting neuroscience study results ? Human neuroscience experts averaged only 63% accuracy ? Specialized BrainGPT model reached 86% accuracy ? Domain experts peaked at just 66% accuracy ?? The Breakthrough: AI can identify complex patterns in scientific literature that even expert humans might overlook. Researchers are now developing AI tools to help scientists design more effective experiments and make smarter research decisions. This study isn't just about numbers—it's about accelerating scientific discovery and pushing the boundaries of human knowledge. Are we witnessing the dawn of AI-powered research? Follow 15minAi for more updates of AI! #ArtificialIntelligence #Neuroscience #ScientificResearch #Innovation

The AI in #medtech market is experiencing rapid growth and adoption. Here are the latest statistics: The global AI in healthcare market was valued at $16.3 billion in 2022 and is projected to reach $173.55 billion by 2029, growing at a CAGR of 40.2%. In 2023, the FDA's list of approved AI algorithms and devices for medtech increased by 43% year-over-year, reaching record levels[3]. As of May 2024, the FDA has approved 882 AI/ML-enabled medical devices, with radiology dominating at 671 devices. North America holds the largest market share at 59.1% of the global AI in healthcare market. The region's dominance is attributed to strong government support and early adoption of AI technologies. AI-assisted robotic surgery is expected to generate $40 billion in revenue by 2026, while virtual nursing assistants are projected to save the healthcare industry $20 billion annually. ? Key AI Applications in Medtech Drug Discovery: This sector dominated the healthcare AI market in 2023 with a 28.1% share. It's expected to reach $4.9 billion by 2028, growing at a CAGR of 40.2%. Medical Imaging: The global AI in medical imaging market is projected to surpass $8 billion by 2027, with a CAGR of over 25%. Robotics: Healthcare is the second-largest industry for AI in 2024, with a 19% share in the robotics market. ?? Impact on Healthcare Delivery - AI has the potential to reduce emergency room visits and hospitalizations by 79.2% and healthcare workers' errors by 86%. - Physicians' time spent on treating patients increased from 50% to 67% after AI implementation. - AI-powered breast cancer detection improved diagnosis rates by 20% while reducing doctor workloads by 44%. Follow 15minAi for more updates of AI! Image source: ExcellentWebworld

?? Excited to see how Google Health AI Developer Foundations (HAI-DEF) is breaking barriers in healthcare innovation! By making powerful, healthcare-specific AI models open and accessible, this initiative is empowering developers and startups to create impactful solutions faster than ever. ????? Check out the original post below to learn more about this game-changing approach! ??

Amazon has announced a significant expansion of its investment in the AI startup Anthropic, committing an additional $4 billion. This brings Amazon's total investment in Anthropic to $8 billion, solidifying their strategic partnership aimed at advancing cloud computing and AI development. ?? Investment Details - Phased Deployment: The new $4 billion investment will be deployed in phases, starting with an initial $1.3 billion. - Minority Stake: Despite the substantial investment, Amazon remains a minority investor in Anthropic. ?? Strategic Partnership - Cloud and Training Partner: Amazon Web Services (AWS) becomes Anthropic's primary cloud and training partner. Anthropic will utilize AWS's Trainium and Inferentia chips to optimize its Claude AI models. - Collaboration with Annapurna Labs: Anthropic is working with Amazon's Annapurna Labs to develop and optimize next-generation AI processors. ?? Industry Context - Competitive Landscape: This move is part of a broader trend of massive fundraising efforts by leading AI labs. OpenAI recently raised $6.6 billion, while xAI secured $11 billion over the past year. - Strategic Importance: The investment underscores Amazon's commitment to securing a foothold in the competitive AI industry. It positions AWS as a key player in providing infrastructure for advanced AI models, competing with tech giants like Microsoft and Google. ?? Implications for Amazon and Anthropic - For Anthropic: The partnership provides resources and distribution channels necessary to compete with major players like OpenAI. It also allows Anthropic to leverage AWS's extensive customer base through Amazon Bedrock. - For Amazon: The deal enhances Amazon's chip technology ambitions and strengthens its position in the AI ecosystem, aiming to compete with Nvidia and other leaders in AI hardware development. This investment reflects the growing importance of strategic partnerships in the rapidly evolving AI sector, where access to cutting-edge technology and substantial financial backing are critical for success. Follow 15minAi for more updates of AI!