O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

Can AI learn without forgetting? Explore five levels of continual learning and the stability-plasticity tradeoff to plan better AI roadmaps.

Abstract: Dedicated neural-network inference-processors improve latency and power of the computing devices. They use custom memory hierarchies that take into account the flow of operators present in ...

There’s also a sizeable gap in how principals and teachers view PD: In a nationally representative survey of over 1,400 ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

V3.2, a family of open-source reasoning and agentic AI models. The high compute version, DeepSeek-V3.2-Speciale, performs ...

Chemist Lee Cronin challenges AI doom and explains assembly theory, showing how complexity signals life, so you can judge ...