At identical 2-bit precision, one decision about which axis you quantize along swings a benchmark score from 2.88 to 63.53.

Apple just announced the M6 Mac mini and M5 Ultra Mac Studio. From hidden memory bandwidth limits to true AI performance, ...

IBM mainframe Arm processor: IBM unveiled the world's first dual-architecture mainframe chip at Hot Chips 2026, whose 11 ...

Meta Superintelligence Labs has introduced Muse Glimmer, a 30-billion-parameter open-weight model designed for always-on local agent workflows. The model is released under the Apache 2.0 license and ...

Muse Glimmer features 30 billion parameters, which means that it would normally require about 55 gigabytes of RAM. Meta’s engineers shrunk its footprint to under 20 gigabytes using various ...

Needle 2 local AI model fits 45 million parameters into a 14-megabyte package. Cactus Compute built this agentic LLM ...

How a hackathon dictation app running Speechmatics on-device speech-to-text exposed why real-time diarization needs GPU acceleration, CoreML, and DirectML.

Qwen 3.8, a 27-billion-parameter AI model developed by Alibaba, offers notable advancements in local AI applications. As highlighted by World of AI, this model excels in handling complex coding tasks, ...

Ubuntu's VP of Engineering says WSL usage on Windows 11 is growing faster than native Ubuntu installs, and could overtake ...

Chips are getting bigger, more modular, and much more capable as new innovations mix with existing processes and ...

AMD Taalas acquisition targets the memory bottleneck limiting GPU inference: Taalas encodes model weights permanently into transistors, eliminating DRAM reads on each forward pass. Claimed performance ...