Memory prices are plunging and stocks in memory companies are collapsing following news from Google Research of a ...

Memory is no longer just supporting infrastructure; it's now become a primary determinant of system performance, cost and ...

Processor architectures are evolving faster than ever, but they still lag the pace of AI development. Chip architects must ...

Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.

Google's TurboQuant combines PolarQuant with Quantized Johnson-Lindenstrauss correction to shrink memory use, raising ...

By mimicking our own biological advantages, the researchers believe that AI could eventually become an ever-evolving ...

Raw computer processing power—known within the industry as “compute”—is quickly becoming the bottleneck in global AI development, and China has taken note.

Apple is already planning a MacBook Neo refresh in 2027, but the runaway success of the current model is making it difficult ...

At its core, the TurboQuant algorithm minimizes the space required to store memory while also preserving model accuracy. To ...

Machine learning researchers using Ollama will enjoy a speed boost to LLM processing, as the open-source tool now uses MLX on Apple Silicon to fully take advantage of unified memory.

Heterogeneous NPU designs bring together multiple specialized compute engines to support the range of operators required by ...