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.
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 helping companies incorporate AI into their businesses — and one analyst says it’s succeeded ‘more than any company (not named Nvidia)’
A team of engineers and physicists affiliated with a host of institutions across Japan, working at the Japan Proton Accelerator Research Complex, has demonstrated acceleration of positive muons from thermal energy to 100 keV—the first time muons have been accelerated in a stable way. The group has published a paper describing their work on the arXiv preprint server.
Neoen formally opens first stage of what will be Australia’s biggest battery, soaking up rooftop solar and helping ease the last coal generators out of the grid.
The consumer-facing side of electric vehicles paints a limited picture of what’s happening in the broader automotive industry. But when you glance behind the scenes, things start appearing far clearer, to a point where it’s pretty evident that the future of road transport is battery-powered. A big part of what’s happening backstage is making those batteries right here, on American soil.
Korean battery maker LG Energy Solution announced recently that it reached an agreement with Ford to move production of the Ford Mustang Mach-E’s batteries from Poland to Michigan starting next year. Instead, the LGES Poland factory will prioritize producing batteries for Ford’s commercial vans sold in the U.K. and the European Union.
Additive manufacturing (AM) has revolutionized many industries and holds the promise to affect many more in the not too distant future. While people are most familiar with the 3D printers that function much like inkjet printers, another type of AM offers advantages using a different approach: building objects with light one layer at a time.
A lithium-ion battery made from three droplets of hydrogel is the smallest soft battery of its kind – and it could be used in biocompatible and biodegradable implants.
Microscopic magnetic nanodiscs could provide a much less invasive means of providing deep brain stimulation, a new study says.
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.