NetMind.AI’s Post

Stanford University's #computerscientist Fei-Fei Li is co-founding a company called WorldLabs. The startup aims to teach #AISystems #deepknowledge of #physicalreality. Unlike current #GenerativeAI, WorldLabs plans to create systems that can #construct #complete #worlds with the #physics, #logic, and #rich #detail of our #physicalreality. Despite skepticism about AI progress, World Labs has secured $230 million in funding and is valued at $1 billion. The article contrasts the optimism of Li and her investors with the broader market sentiment that suggests an #AISlowdown. #PhygitalAI #DeepAI #RealWorldAI

“Stanford computer scientist Fei-Fei Li is unveiling a startup that aims to teach AI systems deep knowledge of physical reality. Investors are throwing money at it. … “[Li is] on a part-time leave from Stanford University to cofound a company called World Labs. While current generative AI is language-based, she sees a frontier where systems construct complete worlds with the physics, logic, and rich detail of our physical reality. … “[About ten years ago, Li created] ImageNet, a bespoke database of digital images that allowed neural nets to get significantly smarter. She feels that today's deep-learning models need a similar boost if AI is to create actual worlds, whether they're realistic simulations or totally imagined universes. Future George R.R. Martins might compose their dreamed-up worlds as prompts instead of prose, which you might then render and wander around in.... World Labs calls itself a spatial intelligence company, and its fate will help determine whether that term becomes a revolution or a punch line. -- Steven Levy Investors are pitching this as an entertainment play but the real value here seems to be in business, government and research, including city planning, training and industrial applications. https://lnkd.in/gEC25i3h

🎉 Excited to Share a New Achievement! 🎉 I’m thrilled to have earned the NVIDIA Generative AI LLMs (NCA-GENL) Certification! 🚀 This certification validates my foundational understanding of developing, integrating, and maintaining AI-driven applications using Generative AI and Large Language Models (LLMs) with NVIDIA solutions. Over the past few months, I’ve delved deep into a variety of resources, including courses and webinars on topics such as Hugging Face's NLP, Building RAG Agents for LLMs, Diffusion Models, DeepLearning.AI's Prompt Engineering, and LangChain for LLM Application Development, to name a few. The journey has been challenging, but incredibly rewarding. I’m particularly excited about the knowledge I’ve gained regarding NVIDIA’s AI tech stack, including DGX, AI Enterprise, NeMo, NIM, and TensorRT. This certification not only strengthens my understanding of the current AI landscape but also equips me with the skills to contribute to developing cutting-edge AI applications. A big thank you to all the amazing resources and communities that helped me along the way. I look forward to applying this knowledge to future projects and continuing to grow in this exciting field! #NVIDIA #GenerativeAI #LLMs #Certification #AI #DeepLearning #MachineLearning #LangChain #HuggingFace

🚀 Embracing the power of graph databases and vectors in GenAI! 🌐🔍 Graph databases are pivotal in modeling complex data relationships, from knowledge graphs to recommendation engines, enabling deeper insights and smarter decision-making in AI applications. Meanwhile, vectors serve as essential mathematical representations in multi-dimensional space, enhancing tasks like natural language processing and image recognition. They enable AI systems to efficiently process, compare, and derive meaningful patterns from vast datasets. Excited about the limitless possibilities these technologies bring to AI innovation and their role in shaping the future of intelligent solutions! Today's session was fantastic, filled with valuable insights into GenAI through practical demonstrations. I want to give a shout-out to the Microsoft Reactor and Neo4j. They've created excellent learning platforms and networking opportunities with industry leaders. A special thank you to Pavan Kumar Narendra and Sterin Jacob for generously sharing their knowledge. #ArtificialIntelligence #GenAI #GraphDatabases #Vectors #Innovation

I attended a great talk (at NVIDIA Auditorium, Malachowsky Hall, at the University of Florida) about AI by Stuart Russell, a renowned professor of Computer Science at UC Berkeley and one of the leading experts on AI, with a rather interesting title: "How Not to Destroy the World with AI". This talk highlighted the critical need for building safe AI systems, a direction my own research is taking in K-12 education. I aim to develop AI-powered learning environments that not only enhance learning but also prioritize safety. To achieve this, we must clearly define and guarantee what safety means in these contexts. How do we define and ensure that? Contributing to this question is a key goal in my academic career. Here are some of the critical points that stood out for me: 1. General Purpose AI (AGI): AGI could outperform humans in most tasks, but we're not quite there yet. While GPT-like models show progress, we're still far from achieving full AGI. 2. Deep Learning and AGI: Russell expressed doubts about whether deep learning alone will lead to AGI, pointing out limitations like feedforward neural networks’ linearity. 3. AI Safety: A key challenge lies in ensuring that highly intelligent systems act in the best interest of humans. Russell suggests designing AI that is "explicitly uncertain" about human goals, fostering cooperation rather than control. 4. AI and Society: If we succeed with AGI, it could lead to a dramatic rise in living standards. However, there are concerns about the societal impacts—potential job losses, changes in social participation, and increased polarization due to AI-manipulated content. 5. Regulation is Crucial: The race to dominate AI development could have catastrophic consequences. Russell emphasizes the need for well-defined, enforceable regulations to prevent AI from crossing dangerous red lines, such as developing bioweapons or acting autonomously without human oversight. "We should make AI systems that are safe by design from the beginning."--Stuart Russell #AI #ArtificialIntelligence #StuartRussell #AGI #AIEthics #AIRegulation #DeepLearning #AIInnovation #Technology #FutureOfAI #LinkedInLearning #AIInSociety

Welcome to the AI Hub Community! This community is dedicated to advancing the field of artificial intelligence through collaboration, knowledge sharing, and networking. To get started, please introduce yourself in the comments below and tell us what excites you most about AI. We can't wait to learn more about your interests and projects! #AI #artificialIntelligence #community Deep Mind Labs Ltd PyTorch TensorFlow User Group (TFUG) OpenCV OpenAI NVIDIA Artificial Inspiration Midjourney Anthropic AlphaSense

Insightful thoughts on the recent launch of Sora by Eduardo Fuentes Ph.D. Give his post a read!

Are you looking to ignite your understanding of artificial intelligence (AI) on supercomputing systems? Then come be a part of ASU Research Computing via Zoom at "AI Ignition: Fueling Your Knowledge 2024" on June 25th! Highlighted Sessions Include: • Beyond Text: Harnessing the Potential of Large Language Models for Innovation: Explore the transformative power of large language models and their applications beyond traditional text processing. • Using Generative AI Productively: Learn how to leverage generative AI techniques effectively to drive innovation and creativity in your projects. • Powering Up: Unleashing the Potential of AI in Software Acceleration: Discover strategies for harnessing AI to accelerate software development and enhance performance. • NVIDIA: Learn about exciting AI tools from industry experts. Join other ASU faculty, students, and staff in a dynamic half-day event as we delve into the latest advancements and applications of AI in research and innovation. 🗓️ Tuesday, June 25, 2024, 9:00am - 1:45pm 📍Virtual via Zoom Register here: https://ow.ly/nlxB50SliHu #Research #ASUResearch #Computing #AI #LanguageModels #SoftwareAcceleration #Resources #ASU

🌟𝐌𝐞𝐞𝐭 𝐭𝐡𝐞 𝐕𝐢𝐬𝐢𝐨𝐧𝐚𝐫𝐢𝐞𝐬 𝐨𝐟 𝐆𝐞𝐧 𝐀𝐈 In the realm of Gen AI, brilliant minds are shaping the future of artificial intelligence. Let’s take a moment to celebrate some of the pioneers driving innovation in this exciting field: 🔹𝐅𝐞𝐢-𝐅𝐞𝐢 𝐋𝐢: Co-director of Stanford University's Human-Centered AI Institute, Fei-Fei Li is renowned for her work in computer vision and AI ethics. 🔹𝐈𝐚𝐧 𝐆𝐨𝐨𝐝𝐟𝐞𝐥𝐥𝐨𝐰: The inventor of Generative Adversarial Networks (GANs), Ian Goodfellow is a leading figure in deep learning and AI research. 🔹𝐃𝐞𝐦𝐢𝐬 𝐇𝐚𝐬𝐬𝐚𝐛𝐢𝐬: Co-founder and CEO of DeepMind, Demis Hassabis is revolutionizing AI through cutting-edge research in reinforcement learning and neuroscience-inspired algorithms. 🔹𝐘𝐨𝐬𝐡𝐮𝐚 𝐁𝐞𝐧𝐠𝐢𝐨: A Turing Award-winning computer scientist, Yoshua Bengio's contributions to deep learning have had a profound impact on the field of AI. 🔹𝐀𝐧𝐝𝐫𝐞𝐰 𝐍𝐠: Co-founder of Coursera and former Chief Scientist at Baidu, Andrew Ng is a prominent figure in AI education and industry applications. These visionaries inspire us with their groundbreaking research and commitment to advancing Gen AI. Follow their journey to witness the incredible possibilities of artificial intelligence! 🚀 🤔 Want to know more about Gen AI from scratch? 🚀HiDevs Community is launching a 𝟐𝟏-𝐝𝐚𝐲 𝐆𝐞𝐧 𝐀𝐈 𝐜𝐚𝐦𝐩𝐚𝐢𝐠𝐧 from 𝟏𝐬𝐭 𝐉𝐮𝐧𝐞,𝟐𝟎𝟐𝟒 to dive deeper into the world of Gen AI. Join us to learn exciting things about Gen AI!  #𝐆𝐞𝐧𝐀𝐈 #𝐀𝐈𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 #𝐓𝐞𝐜𝐡𝐋𝐞𝐚𝐝𝐞𝐫𝐬 #@Hidevs

A New Era of AI is coming,where we are inadvertently challenging carbon-chuavinism and the biological basis of supreme intelligence!This is going to be most probably a losing war for carbon against silicon! When OpenAI unveils its next groundbreaking update, don't expect a simple "Yay!" reaction. Prepare to be shocked. The advancements in AI are happening at a pace that's mind-boggling. From language models that can write poetry to AI-powered art generators and do complex maths and coding tasks, the possibilities are endless and often unexpected. The next big leap could redefine industries, challenge our understanding of intelligence, how science is done and potentially even raise very serious ethical questions. So, buckle up, the future of AI is coming faster than we think! Brace Yourself for Shock, Not Joy! #AI #OpenAI #FutureTech #Innovation #Shocking #developments# #Strawaberry #o1