AIHub·
Welcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we learn about AI for science, delve into world models, research transparent and trustworthy AI, and hear about the lottery ticket hypothesis. Making AI systems more […]
Read full articleWelcome to our monthly digest, where you can catch up with any AIhub stories you may have missed, peruse the latest news, recap recent events, and more. This month, we found out how foundation models are being used for conservation efforts, how AI can help with scarce resource allocation, and how color metaphors and LLMs […]
A quick guide to separating Physical AI from world models, embodied AI, physics AI, and digital twins The post Physical AI: What It Is and What It Is Not appeared first on Towards Data Science.
Li's framework for world models could revolutionize AI's spatial intelligence, enhancing robotics' ability to interact with real environments. The post Fei-Fei Li explains world models’ roles in robotics and gaming appeared first on Crypto Briefing.
LeCun's findings could redefine AI's approach to understanding complex systems, but real-world application remains challenging due to environmental variability. The post Yann LeCun’s paper reveals conditions for LeJEPA to learn world models appeared first on Crypto Briefing.
DeepMind's shift to 'world models' could redefine AI's role in robotics and scientific discovery, emphasizing causality over language processing. The post Google DeepMind CEO Demis Hassabis says language models can’t understand reality, pushes for ‘world models’ appeared first on Crypto Briefing.
The AIhub coffee corner captures the musings of AI experts over a short conversation. This month we delve into world models. What are they, and what potential do they have? Joining the conversation this time are: Sanmay Das (Virginia Tech), Rina Dechter (University of California, Irvine), Tom Dietterich (Oregon State University), Sabine Hauert (University of […]
Listen to the session or watch below AI companies want to build systems that understand the external world and overcome the limitations of LLMs. Recent developments have brought world models to the forefront of the AI discussion. Watch a conversation with editor in chief Mat Honan, senior AI editor Will Douglas Heaven, and AI reporter…
In this crosspost from AI Matters – a publication of the ACM SIGAI – Ella Scallan sat down with Jonathan Frankle to discuss the lottery ticket hypothesis, for which he was awarded the 2023 AAAI/ACM Doctoral Dissertation Award. In this wide-ranging conversation, Jonathan delves into empiricism vs theoretical proofs, how the approach to computer science […]
