DeepSeek’s Engram Conditional Memory Shows How to Reduce AI Compute Waste

DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams ...

AMD MI455X Could Combine HBM4 And LPDDR For Massive AI Memory Capacity

While NVIDIA includes its CPU and RAM in its super-speed GPU fabric, AMD may have done something else altogether with its ...

Physical AI And World Models Raise The Bar On What We Call ‘Smart’ ... And LLMs Are Not Enough

Instead, physical AI needs to orchestrate a blend of on-device processing for speed and cloud computation for long-term ...
InfoQ

MIT's Recursive Language Models Improve Performance on Long-Context Tasks

Researchers at MIT's CSAIL published a design for Recursive Language Models (RLM), a technique for improving LLM performance ...
Frontiers

Predicting Neural Activity: Understanding Brain Structure and Dynamics through Generative Modeling and Causal Analysis

Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...