Yann LeCun Raises $1 Billion to Build AI That Understands the Physical World

Meta’s former chief AI scientist has long argued that human-level AI will come from mastering the physical world, not language. His new startup, AMI, aims to prove it.

Andrej Karpathy's new open source 'autoresearch' lets you run hundreds of AI experiments a night — with revolutionary implications

An AI agent reads its own source code, forms a hypothesis for improvement (such as changing a learning rate or an architecture depth), modifies the code, runs the experiment, and evaluates the results ...
IEEE

A Quench Behavior Predictive Model for High Temperature Superconducting Magnet Based on Deep-Learning Neural Network

Abstract: No-insulation (NI) high temperature superconduct-ing (HTS) coils show higher stability than traditionally insulated HTS coils. However, quench remains one of the most crucial issues ...

Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
IEEE

A Secure and Robust Machine Learning Model for Intrusion Detection in Internet of Vehicles

Abstract: The rapid advancement of communication is introducing a new era for the Internet of Vehicles (IoV) in the context of Smart Cities. Although these technologies provide unparalleled ...
eWeek

OpenAI, Google, and Alibaba Drop Faster, Cheaper Models

OpenAI, Google, and Alibaba unveil faster, cheaper AI models built for real-time apps and local devices, signaling a shift from AI power to speed and efficiency.