Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Noteworthy AI, founded by CEO Christopher Ricciuti, raised $15,009,995 in an equity offering, according to an SEC Form D filed August 26, with 18 investors and a target of $18,234,987, leaving $3,224,992 available. The N…
Google has introduced Gemini Audio, a trio of speech models including Gemini 3.5 Transcribe, Gemini 3.5 Live, and Gemini 3.5 Live Experimental, designed to improve real-time dialogue and speech recognition. Gemini 3.5 Tr…
Amplify Investments' Amplify AI Powered Equity ETF (NYSEARCA:AIEQ), the first fully AI-driven ETF, has gained 100.2% since its Oct. 17, 2017 inception, while the S&P 500 gained roughly 199.7% over the same period, showin…
Google Cloud has integrated native TPU support into vLLM, the open-source LLM serving engine, to enable enterprise-grade precision for long-context multimodal embedding inference, targeting the Qwen3 Embedding model seri…
Caltech Professor Anima Anandkumar developed FourCastNet, the first open-source AI weather model, which is competitive with the best physics-based simulations and can run on consumer-grade GPUs. Anandkumar pioneered Neur…
Levels.fyi's compensation analysis for Lets Data Science found that the median AI pay premium over non-AI peers has stopped growing, with an L3 ML/AI engineer earning 1.34 times a non-AI peer in late 2024 and 1.29 times …
A developer shared a Python script for building a machine learning pipeline for real estate price prediction. The script includes exploratory data analysis, outlier filtering, feature engineering with KMeans clustering, …
OpenAI researchers developed scalable long-horizon reinforcement learning environments for browser use from real user traffic, filtering several hundred million task submissions down to about ten million distinct tasks a…
GGML, a small math library created by Georgi Gerganov, underpins llama.cpp and is designed for CPU inference on constrained hardware, using a computation-graph-first approach that pre-allocates memory to avoid repeated a…
David Bruns-Smith of MIT Sloan will present "Two-Stage Machine Learning for Nonparametric Instrumental Variable Regression" on November 12, 2026, from 16:00 to 17:00 at Harvard's Littauer M-15 as part of the Econometrics…
A recent evaluation of frontier reasoning agents, including Claude 3.5 Sonnet, reveals they struggle with interactive 2D mazes due to a gap between linguistic reasoning and embodied spatial awareness. The agents fail at …
A developer has built a prototype of a self-improving AI agent that combines agent loops with graph-based memory to accumulate knowledge from completed tasks. The system records task outcomes, file relationships, and rev…
Unitree, China's leading robot maker, lost nearly half of its market value after its IPO on China's NASDAQ equivalent, which had valued the company at $66 billion, as analysts cite robots' lack of know-how to perform val…
UPS uses its AI-powered ORION (On-Road Integrated Optimization and Navigation) system to continuously analyze millions of delivery decisions influenced by traffic, weather, fuel prices, road conditions, driver schedules,…
Neo4j's Sr. Manager of Technical Product Marketing explains GraphSAGE, an inductive graph embedding model that generates embeddings for new nodes without retraining, using a three-step process of sampling neighbors, aggr…
Neo4j's Aura Graph Analytics now supports GraphSAGE, an inductive node embedding method that generates embeddings for unseen nodes without retraining, addressing the cold-start problem in growing graphs. The platform inc…
Arga, a startup building training environments for enterprise AI agents, announced Wednesday it raised $10 million in a seed round led by General Catalyst, with participation from Box Group, Emergence, Gradient, and SV A…
AI is being applied to time synchronization in operational technology (OT), promising to detect clock drift and network delays earlier, but its probabilistic nature clashes with the certainty required in industrial contr…
A developer proposes a 'literature-in-the-loop' approach for AI-driven protein and antibody design, addressing the gap between the tens of thousands of candidates generated per cycle and the few hundred that can be teste…
A custom llama.cpp backend (ggml-axcl) now runs Qwen3-0.6B directly from GGUF files on an Axera AX8850 NPU accelerator card (M5Stack LLM-8850) hosted on a Raspberry Pi 5, achieving 1.3-2.7 tokens per second decode versus…