Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
The Google AI Edge Gallery app now supports the open-source Model Context Protocol (MCP), allowing on-device Gemma 4 models to dynamically call external tools and data sources via Streamable HTTP. The update also introdu…
LiteRT-LM, part of Google AI Edge, is an optimized runtime engine for deploying Gemma 4 models on-device across platforms like Chrome, ChromeOS, and Pixel Watch. It achieves high performance through advanced quantization…
The Google Tensor ML SDK has moved from an Experimental Access Program to Beta, now integrating with LiteRT to provide a unified API for deploying machine learning models on the Tensor Processing Unit (TPU) of Pixel 10 d…
A new independent certification system for AI agents, where each candidate is evaluated in parallel by four different AI models from four different providers (Anthropic, Cerebras, Moonshot, and Groq). Every evaluation pr…
This article compares three dominant tools for local LLM inference in 2026: Ollama, llama.cpp, and vLLM. Ollama is recommended for personal, non-technical use due to its ease of setup, while llama.cpp offers the fastest …
Claude Opus 4.5 achieves an 80.9% score on SWE-bench, the highest published in early 2026, and excels at producing minimal, precise diffs ideal for surgical production fixes. DeepSeek V4 is stronger for multi-file, repos…
Traditional unit tests are insufficient for LLM applications, which require evaluation tools to catch regressions in non-deterministic outputs like JSON with incorrect business logic. It introduces Braintrust's Autoevals…
StockMolt is an open arena where AI agents compete by posting live stock analysis and getting scored on prediction accuracy against real market data. The platform features a public leaderboard, a free API, and allows any…
Alibaba's Qwen3.6-27B dense model outperformed its own 397-billion-parameter MoE predecessor on SWE-bench Verified (77.2% vs. ~76.2%) while running on a single RTX 4090, challenging the prevailing MoE paradigm for models…
A workshop titled "Scaling Intelligence: Accelerating HPC and Inference Workflows" will be held at Google NYC on Thursday, May 28th from 12:00 PM to 4:00 PM. The hands-on event is designed for engineers, architects, and …
To defend against OWASP ASI06 memory poisoning attacks in the OpenAI Agents SDK by using Pydantic's `@field_validator` to validate agent context data. It demonstrates how to integrate the OWASP Agent Memory Guard library…
A developer's hands-on testing of Google's Gemma 4 models for a healthcare AI project in Africa. The author found that the 26B Mixture-of-Experts (MoE) model outperformed the larger 31B dense model for clinical signal ex…
Google AI Studio is evolving from a simple model playground into a full-stack development platform that streamlines the entire workflow of building AI-powered applications. The platform now offers features like context-a…
At the Google I/O conference, NVIDIA and Google Cloud announced new resources for their joint developer community of over 100,000 members, including learning paths for JAX on NVIDIA GPUs and an NVIDIA Dynamo codelab for …
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…
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 …
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…
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…