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Showing posts from November, 2025

FinalSpark advances biocomputing by using organelle of human mini-brain, with around 10,000 neurons, to power computer

https://techxplore.com/news/2025-10-wetware-scientists-human-mini-brains.html "human brain cells fed nutrients... 1 million X more energy efficient than artificial neurons, also endlessly lab reproducible... purchases stem cells, turns them into neurons, collected into mm-wide clumps/ organoids around fruit fly larvae brain's size, electrodes attached allowing monitoring internal discussion... can stimulate with small electric current, responding with a spike in activity or not (computers' 1's and 0's)... challenges: encoding data in/ interpreting data out, live for up to 6 months... read braille, study brain disease"

AI semiconductor hybrid, intelligent transformer/ computation inside memory, has 4X increased LLM inference speed using 2.2X less power

  https://www.eurekalert.org/news-releases/1102359 "as AI model grows/ processed sentences become longer, computational load/ memory requirements surge, leading to speed reductions/ high energy consumption... overcome using sequential memory-based Mamba structure processing information over time, increasing efficiency... further improved with Transformer–Mamba Hybrid Model including PIMBA processing inside memory, combining advantages of both Transformer and Mamba"

Thin layered Sr3Cr2O7−δ crystalline film created using pulsed laser deposition, then oxidized, has 5 orders of magnitude less electrical resistivity

https://www.eurekalert.org/news-releases/1103741 "oxidized by treating with heat in air... fills oxygen vacancies/ changes chromium atoms' oxidation state, collectively allowing conduction electrons to pass through more easily... also applicable to other materials with drastically tunable physical properties... for use in memristors, electronic elements encoding memory of previous states, critical for developing more power-efficient, next-generation AI computing chips that can meet the growing demand for greater computing power"