Google DeepMind launched EmbeddingGemma 2 on October 6, 2026, a 740-million-parameter open model that maps text, code, images ...

Random access memory, or RAM, is in just about every piece of technology we use. But it’s also the technology that AI companies like OpenAI, Anthropic, Google, and Meta are using to power the servers ...

Distributed NVM supports high-endurance telemetry logging, functional safety, and time-sensitive networking where resilience ...

Find the best local AI models for your GPU with this guide covering 4GB to 512GB setups. We recommend Quen 3.52B for 4GB ...

Astera Labs has added three products to its Leo memory controller line, aimed at a problem that arises as AI inference shifts from single queries to agents that run continuous loops: the key-value ...

All of the inputs are being done by the fly's brain mapping. None of it is assisted by humans or anything else. Doomfly Doom is such a simple, beautifully designed game that it can run on all sorts of ...

Your sense of smell is directly connected to memory and brain health. Olfactory enrichment could help students learn more effectively and even stave off Alzheimer’s disease and dementia. You may be ...

When Google released a complete 3D map of an adult male fruit fly’s central nervous system, scientists celebrated it for its impact on neuroscience. Software engineers, however, had other ideas by ...

Flash, released September 10, cuts AI agent KV cache memory fourfold via four architectural techniques -- CED split, CSA2, FP4 quantization, and SWA elimination -- reducing per-token memory to 890 ...

Long-horizon agents have turned LLM serving into an input-heavy workload. Repeated prefills and million-token contexts leave KV caches that strain HBM, SSD capacity, and bandwidth. DeepSeek AI built ...

Long before neuroscientists had names for reconsolidation windows, hippocampal CA2 circuits, or synaptic pruning cascades, Filipino ancestors named the thing that steals memory. They called it the ...

As compute workloads become more data-intensive and latency-sensitive, accelerators (e.g., GPUs, FPGAs and SmartNICs) require more flexible and efficient access to host memory. Traditional direct ...