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Google Cloud open-sourced k8s-aibom, an unprivileged Kubernetes controller that automatically detects running AI runtimes and generates CycloneDX Machine Learning Bill of Materials (ML-BOMs) from live cluster observation…
AI-driven predictive maintenance is helping companies reduce equipment downtime and maintenance costs by using real-time sensor data and machine learning to predict failures before they occur. A NIST study found manufact…
LG AI Research presented its Exaone model's industrial applications at the International Conference on Machine Learning in Seoul, including AI-discovered materials like a hair loss treatment ingredient and a cooling flui…
Scientists used machine learning to analyze seismic data and discovered a razor-sharp line of thousands of previously undetected earthquakes beneath Alaska, revealing the precise edge of the subducting Yakutat microplate…
Schrödinger partnered with Google Cloud to deploy AlphaEvolve, an AI coding agent from Google DeepMind, achieving a 4x speedup in molecular discovery by optimizing machine-learned force field training algorithms. The opt…
Ancestry has spent 42 years digitizing 71 billion family records from 88 countries, a process that was slow and costly. Since 2014, the company has used AI, including machine learning and natural language processing mode…
Jon and Mindy Gray donated $55 million to create the Basser Cancer Interception Institute at the University of Pennsylvania, which will use artificial intelligence and biomarkers to detect and intercept hereditary cancer…
Khronos Group presented an open standards roadmap at SIGGRAPH ASIA 2025 in Hong Kong, December 15-18, covering cross-platform ML inferencing acceleration, glTF Gaussian Splats, and OpenXR Spatial Entities. The Machine Le…
Scientists have fully read a charred Herculaneum scroll without opening it, using X-ray tomography and machine learning. The scroll, PHerc. 1667, contains a Stoic philosophical treatise on ethics. This breakthrough was a…
BotPool has launched a freelance marketplace connecting businesses with over 5,000 vetted AI freelancers for projects in machine learning, chatbot development, prompt engineering, and automation. The platform charges a f…
Researchers developed ActiTect, an open-source machine learning pipeline that screens for REM sleep behavior disorder from wrist actigraphy data, achieving AUROC scores of 0.95 in development and 0.84-0.94 across externa…
A developer automated content workflows by building a custom Python script that integrates natural language processing and machine learning to reduce manual intervention. The script, part of the CLAUDE documentation upda…
Researchers applied machine learning to whole-genome sequences of 299 Borrelia burgdorferi clinical isolates, identifying protein variants in five adhesins (BBK32, DbpA, OspC, P66, RevA) strongly associated with human di…
A new paper-thin, flexible AI sticker sensor node called Ghost Edge has been developed, built around the Nordic Semiconductor nRF54L15 wireless SoC. The device uses a flexible printed circuit board to conform to curved s…
About 80% of security operations center (SOC) practitioners use AI or machine learning tools daily, but only 33% have integrated them into governed workflows, according to a report by Help Net Security. This gap creates …
A brain-computer interface developed at UC Davis has enabled an ALS patient, Casey Harrell, to speak independently for over 3,800 hours over two years with 99% accuracy, allowing him to return to full-time work. The impl…
Andrej Karpathy's open-source 'autoresearch' repo introduces a pattern for structuring AI-agent work that generalizes beyond machine learning. The pattern divides responsibility into a fixed evaluator, a modifiable imple…
NVIDIA researchers developed an agentic system for deploying machine learning models to ephemeral SageMaker endpoints, generating runtime code at deployment time from prose artifacts rather than reusable scripts. The app…
A developer built an anomaly detection system for API endpoints that return 200 OK but are actually broken, using per-endpoint rolling baselines and three-sigma thresholds instead of machine learning. The system tracks r…
INFN-Padova physicist Tommaso Dorigo announced a two-year research position tied to the EU PHINDER project, targeting Master-level graduates with machine learning experience. The application deadline of May 30, 2026 has …