Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
The article explores morphogenesis, the self-organizing process by which a single cell develops into a complex multicellular organism, highlighting its robustness and regenerative capabilities. It discusses the challenge…
PyTorch introduced a "fake export" method that allows developers to verify the exportability of large deep learning models using `torch.export` APIs without requiring actual GPU memory. The approach uses fake tensors wit…
Researchers introduced Iterative Group Relative Policy Optimization (iGRPO), a two-stage reinforcement learning method that improves large language model reasoning by having the model generate and refine its own best dra…
Researchers have developed RLP, an information-driven reinforcement pretraining objective that integrates exploration and chain-of-thought reasoning into the pretraining phase of large language models, rather than reserv…
A new study published in Science Advances details electronic rings that wirelessly transmit hand motion data to an AI system capable of translating multiple sign languages into text. The seven-ring system, developed by r…
Google's Gemma 4, DeepSeek V4, and other new open-weight large language models incorporate architecture changes like KV sharing, compressed convolutional attention, and layer-wise attention budgeting to reduce long-conte…
Researchers at Calico Life Sciences, including AI/ML head Matt Onsum and principal scientist Katherine Labbé, are using an AI tool called Co-Scientist to analyze the complex biology of aging and generate testable hypothe…
In October 2025, the National Hurricane Center (NHC) used Google DeepMind's AI model, WeatherNext, to predict Hurricane Melissa's historic Category 5 landfall in Jamaica five days in advance, marking the first time a sto…
The article is a blog post about the bigfin squid that also invites discussion of unaddressed security news. The comment section features a lengthy argument by Clive Robinson that the rise of AI and corporate cost-cuttin…
DeepSeek-V4-Flash, a new local AI model, now makes it practical for engineers to experiment with "steering" — a technique that manipulates a model's internal activations to guide its outputs. The stripped-down version, D…
Amazon Web Services has introduced document-level access control list (ACL) support for Amazon Simple Storage Service (Amazon S3) knowledge bases in Amazon Quick, allowing organizations to restrict sensitive documents to…
Amazon researchers have developed a new scaling law that connects large language model architecture directly to inference efficiency, enabling faster text generation without sacrificing accuracy. The framework, presented…
Small language models with 1-9 billion parameters now handle 60-80% of enterprise AI workloads more efficiently than frontier models, according to a 2026 analysis of enterprise AI infrastructure. These models run on a si…
Amazon Web Services announced Amazon Bedrock Advanced Prompt Optimization, a new tool that optimizes prompts for any model on Amazon Bedrock while comparing original and optimized prompts across up to five models simulta…
IBM has released two new multilingual embedding models under the Apache 2.0 license, built on ModernBERT: a compact 97M-parameter model and a full-size 311M-parameter model. Both support over 200 languages, handle contex…
A new generation of enterprise software companies is shifting focus from owning the "system of record" to building "systems of intelligence," according to analysts. These systems sit above databases like CRM platforms, u…
Promptimus, a new method for automatically optimizing well-developed large language model prompts, eliminates the need for manual engineering by using AI agents to identify failure points and surgically refine prompts. T…
A Reddit user on r/DHExchange offering to sell a database of over 150,000 labeled images of human feces, collected from 25,000 users of his AI-powered poop analysis app. The poster sought advice on monetizing the dataset…
The GGUF file format consolidates all necessary model components—including weights, chat templates, and special tokens—into a single file, offering a more ergonomic alternative to the scattered JSON files typical of safe…
Synchronous continuous batching in LLM inference causes inefficiency by forcing the CPU and GPU to work sequentially, leaving one idle while the other operates. This idle time can account for nearly a quarter of total ru…