A Quarter of the CDC Is Gone
Another round of terminations, combined with previous layoffs and departures, has reduced the Centers for Disease Control and Prevention workforce by about 3,000 people since January.
Another round of terminations, combined with previous layoffs and departures, has reduced the Centers for Disease Control and Prevention workforce by about 3,000 people since January.
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 …
Read more “Scientists build artificial neurons that work like real ones”
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 …
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 …
Read more “Why are we still training LoRA and not moved to DoRA as a standard?”
Large dataset handling in Python is not exempt from challenges like memory constraints and slow processing workflows.
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 …
Read more “FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models”
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 …
Read more “Transforming the physical world with AI: the next frontier in intelligent automation “
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 …
Read more “Agile AI architectures: A fungible data center for the intelligent era”
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 …
Read more “Self-improving language models are becoming reality with MIT’s updated SEAL technique”
With just $800 in basic equipment, researchers found a stunning variety of data—including thousands of T-Mobile users’ calls and texts and even US military communications—sent by satellites unencrypted.