Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Mistral AI, a European AI leader, has acquired Emmi AI, an Austrian company specializing in Physics AI models for industrial engineering, in a strategic move to create a leading AI stack for sectors like energy, automoti…
Release of OlmoEarth v1.1, a new family of transformer-based AI models designed for processing satellite imagery, which reduces compute costs by up to 3x while maintaining the performance of the original v1 model. This e…
The article announces the release of OlmoEarth v1.1, a new family of Earth observation AI models that reduces compute costs by up to 3x while maintaining the performance of the original v1 model. This efficiency gain is …
Gemini Omni is an AI creative studio that combines video editing with an understanding of physics, history, and narrative logic to generate coherent, realistic scenes from any input. It was developed with internal safety…
At Google I/O, the company introduced Gemini Omni, a new family of multimodal AI models that can generate video by reasoning across combined inputs of text, images, and audio. The first model, Gemini Omni Flash, launches…
NVIDIA released Nemotron-Labs-Diffusion, a tri-mode language model that unifies autoregressive, diffusion, and self-speculation decoding within a single architecture. The model, trained with a joint AR-diffusion objectiv…
Andrej Karpathy, a co-founder of OpenAI and former AI leader at Tesla, has joined Anthropic to work on pre-training research, focusing on using its Claude model to accelerate the development of large language models. Ant…
Amazon SageMaker Feature Store now supports native AWS Lake Formation integration, additional Apache Iceberg table properties, and Feature Store capabilities in SageMaker Python SDK v3.8.0. The new features enable fine-g…
A team built a procurement agent that improved its decision-making accuracy from 53.8% to 83.1% by capturing human reviewer overrides as a context graph, without any code changes or model retraining. The agent initially …
Agoda has developed a multimodal content system that unifies hotel images and guest reviews into a shared topic-based taxonomy, enabling consistent interpretation of features like Pool or Breakfast across visual and text…
A presentation by Intuit's Merrin Kurian on building a Generative AI infrastructure stack, focusing on the company's "GenOS" platform that powers AI agents across its products. It highlights key metrics, such as 60 billi…
Forge is a reliability layer for self-hosted LLM tool-calling that uses guardrails and context management to dramatically improve performance on multi-step agentic tasks, boosting an 8B model from 53% to 99% accuracy. It…
Vlad Feinberg published a guide on how to land a job at a frontier AI lab focused on pretraining, emphasizing kernel-level performance work as the most direct path into the labs. The guide recommends deriving Chinchilla …
Tool-using research agent built for the Gemma 4 DEV Challenge, which runs locally on the Gemma 4 e2b model via Ollama using roughly 200 lines of Node.js code. The agent accepts a question, selects between two tools to re…
The author successfully ran Google's new Gemma 4 open models (2B and 4B parameters) on a laptop using Ollama during Google I/O 2026 week. To make the small 2B model function as a useful research agent, they built a five-…
TinyFish achieved an 81% success rate on the Mind2Web benchmark, significantly outperforming OpenAI Operator's 43% score on hard web tasks. The company tested its web agent across all 300 tasks on live websites, publishi…
Slow single-image diffusion model inference is primarily caused by kernel launch overhead and attention memory traffic, not by a lack of computational power. It recommends using `torch.compile` with `mode="reduce-overhea…
Deploying large language model (LLM) systems in production is far more complex than simple tutorial demos, as real-world challenges like state changes, concurrency, and regulatory scrutiny break naive assumptions. It emp…
Development of a full-stack mobile and AI-powered supply chain optimization app built with FastAPI, React Native, and data science tools. The project integrates AI directly into a real application, using Pandas for analy…
According to the article, Endress+Hauser developed an AI diagnostic system that analyzes real-time sensor data and historical telemetry from industrial instruments to detect and classify measurement faults, eliminating 8…