Scientists build artificial neurons that work like real ones

by AI Generated Robotic ContentAI/ML NewsPosted on Comments are Disabled

UMass Amherst engineers have built an artificial neuron powered by bacterial protein nanowires that functions like a real one, but at extremely low voltage. This allows for seamless communication with biological cells and drastically improved energy efficiency. The discovery could lead to bio-inspired computers and wearable electronics that no longer need power-hungry amplifiers. Future applications …

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How a fabric patch uses static electricity in your clothes to let you chat with AI and control smart devices

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There could soon be a new way to interact with your favorite AI chatbots—through the clothing you wear. An international team of researchers has developed a voice-sensing fabric called A-Textile. This flexible patch of smart material turns everyday garments into a kind of microphone, allowing you to speak commands directly to what you’re wearing. This …

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Why are we still training LoRA and not moved to DoRA as a standard?

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Just wondering, this has been a head-scratcher for me for a while. Everywhere I look claims DoRA is superior to LoRA in what seems like all aspects. It doesn’t require more power or resources to train. I googled DoRA training for newer models – Wan, Qwen, etc. Didn’t find anything, except a reddit post from …

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FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models

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Autoregressive language models (ARMs) deliver strong likelihoods, but are inherently serial: they generate one token per forward pass, which limits throughput and inflates latency for long sequences. Diffusion Language Models (DLMs) parallelize across positions and thus appear promising for language generation, yet standard discrete diffusion typically needs hundreds to thousands of model evaluations to reach …

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Screenshot 2025 10 13 at 16 22 12 Physical AI Capability Spectrum

Transforming the physical world with AI: the next frontier in intelligent automation 

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The convergence of artificial intelligence with physical systems marks a pivotal moment in technological evolution. Physical AI, where algorithms transcend digital boundaries to perceive, understand, and manipulate the tangible world, will fundamentally transform how enterprises operate across industries. These intelligent systems bridge the gap between digital intelligence and physical reality, unlocking unprecedented opportunities for efficiency …

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Agile AI architectures: A fungible data center for the intelligent era

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It’s not hyperbole to say that AI is transforming all aspects of our lives: human health, software engineering, education, productivity, creativity, entertainment… Consider just a few of the developments from Google this past year: Magic Cue on the Pixel 10 for more personal, proactive, and contextually-relevant assistance; our viral Nano Banana Gemini 2.5 Flash image …

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Self-improving language models are becoming reality with MIT’s updated SEAL technique

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Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those underpinning ChatGPT and most modern AI chatbots — to improve themselves by generating synthetic data to fine-tune upon. The technique, known as SEAL (Self-Adapting LLMs), was first …

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90% of science is lost. This new AI just found it

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Vast amounts of valuable research data remain unused, trapped in labs or lost to time. Frontiers aims to change that with FAIR² Data Management, a groundbreaking AI-driven system that makes datasets reusable, verifiable, and citable. By uniting curation, compliance, peer review, and interactive visualization in one platform, FAIR² empowers scientists to share their work responsibly …

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