SandboxAQ began as Alphabet’s moonshot AI and quantum computing and now has an impressive roster of projects.
Category: robotics/AI – Page 801
Gartner: 2025 Will See the Rise of AI agents
And other top trends for the coming new year from Gartner’s IT Symposium/Xpo 2024.
Anthropic’s Latest Claude 3.5 Sonnet AI Update Can Use a Computer On Its Own
In today’s AI news, Anthropic’s latest Claude 3.5 Sonnet AI model has a new feature in public beta that can control a computer by looking at a screen, moving a cursor, clicking buttons, and typing text.
Anthropic’s new ‘computer use’ feature for Claude AI is now available to developers.
Liquid AI Is Redesigning the Neural Network
Inspired by microscopic worms, Liquid AI’s founders developed a more adaptive, less energy-hungry kind of neural network. Now the MIT spin-off is revealing several new ultra-efficient models.
AI Chipmaker Nvidia Overtakes Apple As The World’s Most Valuable Company
Nvidia dethroned Apple as the world’s most valuable company on Friday following a record-setting rally in the stock, powered by insatiable demand for its specialized artificial intelligence chips.
Google is Reportedly Developing a ‘Computer-Using Agent’ AI System
In today’s AI news, Google could preview its own take on Rabbit’s large action model concept.
Project Jarvis would take over a web browser to carry out tasks on users’ behalf.
Palantir Is Now Worth $100 Billion
Palantir is helping companies incorporate AI into their businesses — and one analyst says it’s succeeded ‘more than any company (not named Nvidia)’
Lecture Series in AI: “How Could Machines Reach Human-Level Intelligence?” by Yann LeCun
ABOUT THE LECTURE
Animals and humans understand the physical world, have common sense, possess a persistent memory, can reason, and can plan complex sequences of subgoals and actions. These essential characteristics of intelligent behavior are still beyond the capabilities of today’s most powerful AI architectures, such as Auto-Regressive LLMs.
I will present a cognitive architecture that may constitute a path towards human-level AI. The centerpiece of the architecture is a predictive world model that allows the system to predict the consequences of its actions. and to plan sequences of actions that that fulfill a set of objectives. The objectives may include guardrails that guarantee the system’s controllability and safety. The world model employs a Joint Embedding Predictive Architecture (JEPA) trained with self-supervised learning, largely by observation.
The JEPA simultaneously learns an encoder, that extracts maximally-informative representations of the percepts, and a predictor that predicts the representation of the next percept from the representation of the current percept and an optional action variable.
We show that JEPAs trained on images and videos produce good representations for image and video understanding. We show that they can detect unphysical events in videos. Finally, we show that planning can be performed by searching for action sequences that produce predicted end state that match a given target state.
ABOUT THE SPEAKER yann lecun, VP & chief AI scientist, meta; professor, NYU; ACM turing award laureate.
Yann LeCun is VP & Chief AI Scientist at Meta and a Professor at NYU. He was the founding Director of Meta-FAIR and of the NYU Center for Data Science. After a PhD from Sorbonne Université and research positions at AT&T and NEC, he joined NYU in 2003 and Meta in 2013. He received the 2018 ACM Turing Award for his work on AI. He is a member of the US National Academies and the French Académie des Sciences.
Supercharge Your AI Chatbot with Interactive Visualizations Using Chart.js
Image generated by Microsoft Designer Learn how you can use AI to add interactive charts to your chat experiences.
Fingernail-sized super-flexible robot can aid in rescue ops
Inspired by the external skeleton of a spider, the robot leg is more flexible than conventional robots.
A small robot that resembles a spider’s leg has been developed by engineers at the University of Tartu. Inspired by nature, the fingernail-long leg is more flexible than conventional robots.
Its dexterous movements are expected to help people rescued from rubble and other danger zones in the future.
The robot leg modeled after the leg of a cucumber spider was created by researchers from the Institute of Technology of the University of Tartu and the Italian Institute of Technology. In the near future, it’s expected to move where humans cannot.