A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...

Big artificial intelligence models are known for using enormous amounts of memory and energy. But a new study suggests that ...

Demand for memory chips currently exceeds supply and there's very little chance of that changing any time soon. More chips ...

Chinese robotics firm Unitree has launched what it claims is the world's first robot app store, now in public beta for i ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Aider is a “pair-programming” tool that can use various providers as the AI back end, including a locally running instance of ...

MemoryVLA is a Cognition-Memory-Action framework for robotic manipulation inspired by human memory systems. It builds a hippocampal-like perceptual-cognitive memory to capture the temporal ...

Cue the Terminator soundtrack; Foundation's Phantom is itching for deployment.

Here are six predictions for how AI capabilities will evolve in 2026.

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to production.Modern Python tools enhance mode ...

OpenAI says GPT‑5.2 is smarter than ever — but can it actually handle complex reasoning, code, planning and synthesis? I tested it with 9 real prompts to find out.