Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
LLMs have recently helped find solutions to a number of minor longstanding problems. But a new plan called First Proof is really putting them to the test ...
Wayve has launched GAIA-3, a generative foundation model for stress testing autonomous driving models. Aniruddha Kembhavi, Director of Science Strategy at Wayve, explains how this could advance ...
This year, ASC26 has attracted more than 300 student teams from universities and colleges across Chinese mainland, the United States, Germany, the United Kingdom, Singapore, Colombia, Brazil, ...
In today’s automotive world, digital transformation is rapidly reshaping every corner of the industry—but one area has ...
Existing technology is being upcycled and deployed in new ways as companies seek to measure more data, more accurately.
"AI can't do math" is no longer true. Our team has been using Creatium Studio's math capabilities to create interactive ...
Amateur mathematicians are using artificial intelligence chatbots to solve long-standing problems, in a move that has taken professionals by surprise. While the problems in question aren’t the most ...
Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
A large Chinese research team has developed an air quality model called EPICC (Emission and atmospheric Processes Integrated and Coupled Community Model) that demonstrates improved accuracy in its ...
The PAN AI world model developed at the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi can simulate a wide range of real-world conditions for training autonomous systems, ...
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