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

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

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

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 ...

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

MemVerge, a leader in AI memory software, today announced a major expansion of its MemMachine AI memory system, unveiling ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

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.

Boosting levels of a certain molecule that declines with age was found to restore memory and brain function in Alzheimer’s disease (AD) models – not just by improving energy metabolism, as previously ...

Alzheimer's disease (AD), the leading cause of dementia, affects nearly 40 million individuals globally, resulting in a gradual loss of memory and independence. Despite extensive research over the ...