AINewsnow

A-Lab: el laboratorio autónomo que sintetizó 41 materiales en 17 días

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

Un laboratorio de Lawrence Berkeley National Laboratory sintetizó 41 materiales nuevos en solo 17 días de operación continua, sin que un humano tocara un tubo de ensayo. El sistema se llama A-Lab y es uno de los primeros laboratorios autónomos que ya funciona todos los días, no solo en un paper de…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-15 16:17 · DEV Community — AI
    A-Lab: el laboratorio autónomo que sintetizó 41 materiales en 17 días

More stories

  1. Qwen3.8-Flash-Next-Heretic2-IQ4XS on Halogen Flash Server vs llama-server on Strix Halo: 2.3-7.7x prefill speedup with half the VRAM (+ vision works on BYO GGUF) — r/LocalLLM
  2. M2 Mac ultra128gb Qwen flash next — r/LocalLLM
  3. Multi-hour llama.cpp optimization experiments on Qwen MoE models, patches, benchmarks, and reproduction guides — r/LocalLLM
  4. CUDA: enable sparse fa for qwen4 by am17an · Pull Request #28770 · ggml-org/llama.cpp — r/LocalLLaMA
  5. focus-llama: a llama.cpp fork implementing Declarative Attention (arXiv:2609.02737) — r/LocalLLaMA
  6. I benchmarked 13 model/quant configs on a GPU with no tensor cores (Vega iGPU + Vulkan) and wrote it up as a measurement study — the quant encoding suffix matters more than you'd think — r/LocalLLM
  7. M1 Max 32GB, trying to run Qwen 3.8 27B at decent speeds and context — r/LocalLLaMA
  8. I turned an asymetric pair of Tesla V100s PCIe both (16 GB + 32 GB) into a surprisingly capable local LLM lab — 1.38k prompt tok/s, 40 decode tok/s with qwen3.8 27B Q6 and Q8... — r/LocalLLaMA

Get the daily brief of stories like this at 6:30 every morning →