Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
ClickHouse Cloud now offers executable user-defined functions (UDFs) in public beta, allowing users to upload Python code as a zip file and call it from SQL like any built-in function. The feature runs inference code in …
Venture capital firm a16z is leading Endra's Series A funding round. Endra automates the design work of mechanical, electrical, and plumbing (MEP) consultants, a $150 billion global market, by using a platform that inges…
Roboflow has released an open-source inference library that enables developers to deploy computer vision models entirely offline on edge devices, laptops, or air-gapped systems without relying on cloud servers. The libra…
The transformer attention mechanism uses three learned projections—Query, Key, and Value—to enable each token to selectively gather information from other tokens. The Query determines what the token is looking for, the K…
Nvidia unveiled Cosmos 3, a new open-source world foundation model at Computex in Taipei, designed to improve generalization capabilities for physical AI and robotics development. The model, which processes text, video, …
NVIDIA released Alpamayo, an open portfolio of AI models and simulation frameworks for autonomous vehicle development, including the AlpaGym closed-loop training framework that enables post-training of AV policies throug…
NVIDIA announced Cosmos 3, a new world foundation model that combines vision reasoning and multimodal generation to help physical AI systems — including robots, autonomous vehicles and smart spaces — predict and act on f…
NVIDIA released Cosmos 3, the first open omni-model for physical AI reasoning and action, on Hugging Face June 1, 2026. The single unified model combines world generation, physical reasoning, and action generation, repla…
NVIDIA has released Cosmos 3, a unified foundation model for physical AI that combines reasoning, world generation, and action generation into a single open-source system. The model uses a Mixture-of-Transformers archite…
NVIDIA launched Cosmos 3, an open world foundation model for physical AI built on a mixture-of-transformers architecture that combines vision reasoning, world generation and action prediction in a single system. The mode…
Researchers from Northwestern University, Tilde Research, and the University of Washington have introduced Parallax, a parameterized Local Linear Attention mechanism that preserves softmax attention while adding a learne…
ServiceNow researchers have developed a new distillation method called π-Distill that allows smaller language models to learn from frontier models even when the teacher's chain-of-thought reasoning is hidden. The techniq…
A senior engineer has published a practical guide for using Weka's graphical interface to rapidly prototype classical classification models on structured tabular data. The guide details preprocessing steps for CSV data, …
A retrospective analysis of Eugene Nida's functional equivalence theory and sociosemiotics reveals that classical translation philosophies directly mirror the core challenges of modern cross-lingual LLM alignment. The sa…
Researchers have developed Gamma-World, a multi-agent video world model that can simultaneously generate consistent future observations for multiple independently acting agents sharing the same environment. The model int…
The open-source LLM inference landscape in 2025–2026 has split into three specialized tiers: throughput-oriented serving engines for production GPU clusters, portability-focused runtimes for consumer hardware and edge de…
A new technical guide published in May 2026 explains why Conditional Random Fields (CRF) remain essential for Named Entity Recognition (NER) tasks despite the rise of Large Language Models, citing their ability to enforc…
Roboflow today announced a synthetic data pipeline integrated with NVIDIA's Defect Image Generation skill, Cosmos world foundation model, and Isaac Sim that enables manufacturers to train production-grade defect detectio…
A peculiar side effect of model intelligence in discovery-based research is that it's possible to run every statistical analysis and burn millions of tokens without gaining intuition on how to solve a problem. Pre-AI, th…
VDF AI Networks has developed a six-tier dispatch architecture that transforms large language model selection from a static configuration into a continuously-learning decision system. The router processes every request t…