Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Pasteur Labs released Tesseract Core, a universal component framework for differentiable scientific computing that packages scientific software into self-contained, portable components capable of running across local mac…
A developer built OMR (Omni Data Refinement), an open-source Python library that replaces dozens of lines of boilerplate data quality checks with a single call. The library provides a health score, auto-cleaning, schema …
A three-part book series titled 'The Long Detour' on pre-GPU and low-compute machine learning has been published, drafted by a multi-agent system over a corpus of ~5,000 primary papers and directed by a human author. The…
HNSW (Hierarchical Navigable Small World) is a graph-based algorithm that powers vector search in FAISS, pgvector, Qdrant, Weaviate, and Milvus, enabling approximate nearest neighbor search in milliseconds by using a mul…
Researchers developed APT-RL, a framework enabling quadrupedal robots to learn agile, perceptive multi-skill locomotion in the wild by first learning reusable locomotion representations from trajectory-optimization data …
A KDnuggets article lists 10 YouTube channels for AI engineers, organized into categories covering research, practical building, core concepts, and industry analysis. Featured channels include Two Minute Papers for visua…
AI and real-world evidence (RWE) are converging to accelerate evidence generation for rare disease therapies, addressing the paradox where patients with the greatest need face the longest waits. By combining AI with RWE …
DharmaOCR, a model specialized for Brazilian Portuguese, outperformed newer architectures including Mistral OCR4 and Unlimited-OCR on extraction quality and stability, according to Dharma-AI. The model's advantage comes …
An engineer at a startup spent $1,847 on multi-agent AI in a single weekend and then implemented a fix that cut costs by 82%. The solution involved optimizing agent orchestration and reducing unnecessary API calls.
Artificial intelligence is transforming video surveillance for businesses, moving beyond passive recording to real-time object detection, behavior analysis, and predictive insights, according to a report by Securitas Tec…
A new online converter tool demonstrates how numbers are stored across GPU floating-point formats FP32, FP16, BF16, FP8, and FP4, revealing the precision tradeoffs critical to modern AI workloads. The tool, explained in …
Open-weight AI models trail closed-weight frontier models by approximately four months in general capability, according to the Epoch Capabilities Index, which aggregates scores from multiple AI benchmarks into a single s…
ONNX v1.22.0, published June 30, introduces Opset 27 with LinearAttention and CausalConvWithState operators that enable modern hybrid LLMs to export cleanly to ONNX for the first time, alongside WebAssembly-based model v…
A developer built voku/agent-loop, a governed workflow for coding agents that distinguishes between temporary context, evidence, proposed learning, and approved project guidance. The system requires explicit work briefs …
Whatnot, the livestream shopping platform, acquired AI startup Shaped to integrate real-time recommendation and search technology, aiming to enhance personalization and expand into new product categories. The deal positi…
Amazon is testing software to automate warehouse staffing decisions, but some managers are overriding the system, according to internal documents and Slack conversations reviewed by Business Insider. The tech giant aims …
Wi-Fi signals can be used with AI to detect movement, presence, and activities like walking or falling without cameras. The technology analyzes how radio waves change when people move, offering privacy-preserving sensing…
OriginBlame, a new data provenance system described in an arXiv paper, reduces dataset-level over-deletion from 101x to 1.3x when honoring data-removal requests, enabling model trainers to implement unlearning algorithms…
A new machine learning system developed by Queensland University of Technology researchers has flagged more than 250,000 cancer research papers as potentially fraudulent, according to a study published in The BMJ. The AI…
Tyred, a startup developing an AI platform that predicts bicycle breakdowns before they occur, has raised £2.5 million in funding. The company aims to help cyclists avoid unexpected mechanical failures by using predictiv…