If you have used any of these agent interfaces, you will have noticed that after talking back and forth for a while, the ...

Entity Component System (ECS) architectures have become a standard approach for scaling modern games. They offer predictable performance, efficient memory usage, and a clean way to extend gameplay ...

The current OpenJDK 26 is strategically important and not only brings exciting innovations but also eliminates legacy issues like the outdated Applet API.

MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

When wandering around Marathon, you can sometimes find decommissioned UESC bots with a Coordinate Datapad item next to them.

Nabsys and the Research Lab of Dr. Martin Taylor, Brown University, Present Data Using the OhmX™ Platform at AGBT 2026 EGM enables the direct detection of endonuclease activity at the genome scale by ...

Memory is the faculty by which the brain encodes, stores, and retrieves information. It is a record of experience that guides future action. Memory encompasses the facts and experiential details that ...

Memories.ai is building a large visual memory model that can index and retrieve video-recorded memories for physical AI.

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage, claiming 5x token throughput and 4x energy efficiency for agentic AI ...

Researchers at Karolinska Institutet have created the first detailed map showing how genetic activity is controlled in ...

This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

Industry using ‘diversionary’ tactics, says analyst, as energy-hungry complex functions such as video generation and deep research proliferate Tech companies are conflating traditional artificial ...