Join us to learn about how to use cutting edge GPU infrastructure to solve real world material discovery problems with AI and unsupervised machine learning. Our lab in the Department of Materials ...

The new reinforcement learning system lets large language models challenge and improve themselves using real-world data instead of curated training sets. Meta researchers have unveiled a new ...

Abstract: Due to the complex physical properties of granular materials, research on robot learning for manipulating such materials predominantly either disregards the consideration of their physical ...

A new framework developed by researchers at Google Cloud and DeepMind aims to address one of the key challenges of developing computer use agents (CUAs): Gathering high-quality training examples at ...

Learn Your Way is now available in Google Labs. Google's education-centered AI models personalize material. AI companies continue to market study tools to younger users. Google is introducing a new ...

A new learning paradigm developed by University College London (UCL) and Huawei Noah’s Ark Lab enables large language model (LLM) agents to dynamically adapt to their environment without fine-tuning ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...

Physical learning environments (PLEs)—including classrooms, schools, and networks of facilities—play a critical role in shaping educational outcomes. The World Bank’s RIGHT+ framework offers guidance ...

The AI-driven framework of optimizing the mechanical property of 2D-PHS. Two-dimensional patterned hollow structures (2D-PHS) are an advanced class of metamaterials known for their unique mechanical ...

Almost 10 days since President Donald Trump declared a “done” trade deal with Beijing, US companies remain largely in the dark on when they’ll receive crucial magnets from China — and whether ...