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

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.

In computer science, the International Symposium on Computer Architecture (ISCA) is often described as the “Olympics of ...

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, ...

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

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

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 ...

TIER IV, the pioneering force behind open-source software for autonomous driving, has joined the Next-Generation Edge AI Semiconductor Research and Development Program led by the Japan Science and ...

Under the JST program, a research team will advance the research into use-case-driven, and functionally differentiated ...