
A developer trained a diffusion model (a type of image generation AI) on a Shrike lite microcontroller with only 264KB of SRAM, generating 32×32 pixel images. The device includes an onboard FPGA (a reconfigurable chip), which the developer used to build two parallel INT8 MAC engines with 16-bit accumulation to accelerate calculations.
Summaries like this, in your inbox every morning.
Pick your industry and the AI tools you use, and get news related to your work every day.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.
Apple and Meta said they would jointly release a new open-weight AI model designed to run on high-end Macs, ai…

Liquid AI released d1-ultra on October 15, 2026, an upgraded open-weights decision model that averaged 76.7 ac…

TOPPAN Holdings and Keio University ran a quantum-computer and generative-AI proof-of-concept from February 1…

NVIDIA released Nemotron 3.5 Super VL, an open-weight model with 120 billion parameters that handles text, ima…

NVIDIA released Nemotron 3.5 Bolt 74B-A9B 24GB, an AI model for local agents that hits over 80 tokens per seco…

Black Forest Labs released FLUX 3 Image Klein as open weights on October 15, 2026 — a 5.6B-parameter model for…
