Why nuclear makes sense for the Red Planet. Google’s new memory math for AI. Why video games help you sleep. All that and ...

Neuroscience, Active Learning, Teaching, Learning Process, Student Support, Effective Pedagogy through Neuroscience Share and ...

Google has published TurboQuant, a KV cache compression algorithm that cuts LLM memory usage by 6x with zero accuracy loss, ...

Intel's new Arc Pro cards flex 32GB of memory, aiming squarely at demanding AI pipelines and model-heavy workloads.

Google unveils TurboQuant, PolarQuant and more to cut LLM/vector search memory use, pressuring MU, WDC, STX & SNDK.

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

The phrase “hang it in the Louvre” has become commonplace for images so iconic that they are masterpieces in their own right. Now, imagine an entire film built on iconic shots, each image worthy of ...

Researchers developed a holographic data storage approach that stores and retrieves information in three dimensions by ...

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

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

For the past few years, AI infrastructure has focused on compute above all other metrics. More accelerators, larger clusters ...

-- Company's ReflecTek spinout has demonstrated a new low-cost PCB-based reflect-array technology that promises to dramatically reduce cost and complexity of satellite communication terminals -- ...