You can now run LLMs for software development on consumer-grade PCs. But we’re still a ways off from having Claude at home.
A small Korean fabless startup, Hyper Accel, says its first AI chip — designed for language-model inference in data centers — could outperform Nvidia GPUs by up to five times in terms of efficiency ...
First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...
Memories.ai is building a large visual memory model that can index and retrieve video-recorded memories for physical AI.
Nvidia has expanded the scope of its DGX Spark platform by enabling support for up to four linked systems, allowing the compact AI desktop to scale beyond its original two-node limitation.
Nvidia BlueField-4 STX adds a context memory layer to storage to close the agentic AI throughput gap
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 ...
Working memory is a cognitive function that is essential for carrying out everyday activities and temporarily retaining information. This process enables us to understand information, learn and manage ...
Nvidia announced Monday at GTC 2026 that its new Groq-based inference server rack will be available alongside the Vera Rubin ...
ADHD often looks like “not trying," but the science tells a different story. Here’s what parents should know about the ADHD ...
Gripping Apple’s latest 14-inch M5 Max MacBook Pro is like holding onto a piece of the sun. It’s so powerful, so obviously ...
Apple M5 Max raises memory bandwidth to 614 GB/s; up 13% over M4 Max, improving large-model loading and data-heavy workflows.
Enterprise AI teams are moving beyond single-turn assistants and into systems expected to remember preferences, preserve ...
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