Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...

Among the many steps along the road to high-performance AI, one of the most important was taken in 2007 by Fei-Fei Li, then an assistant professor in Princeton’s computer science department. Using ...

Unintentional leak of internal portions of Anthropic Claude Code has raised renewed debate about neuro-symbolic AI. I explain ...

Artificial intelligence infrastructure startup Parasail Inc. today announced that it has raised $32 million in early-stage ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

Google DeepMind, Alphabet Inc.’s artificial intelligence research division, Tuesday introduced a new foundation robotics AI ...

Sber has introduced a major update to its AI assistant GigaChat, which is now powered by the new flagship model GigaChat ...

The next phase of AI may unfold in the factories, warehouses and cities where the physical world is built and maintained.

Neuro-symbolic AI is up and coming. A research result showcased impressive benefits. I provide insights. An AI Insider scoop.

Natalie Gilbert grew up watching and learning from her dad's work solving neural network problems for AT&T's Bell Labs.

Scientists Use AI to Map Ocean Currents in Incredible Detail ...