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 ...

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

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

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

Understanding ocean currents is important for work such as weather forecasting, climate research, search-and-rescue ...

What many people have missed is not a hidden expense, but a new era—a shift in how intelligence is produced. We are moving from a data-driven regime, where progress depends on the human annotated ...

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

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