Full-text search across 12360 articles. Combine with topic and date filters; results sorted by relevance.
AI is the convergence of two fundamentally different systems—predictive machine learning and reasoning-based generative AI—and companies that combine both will outperform those treating AI as a single tool, according to …
The Shenzhen Institutes of Advanced Technology at the Chinese Academy of Sciences has deployed a machine-learning ensemble model for predicting typhoon rapid intensification at China's National Meteorological Center. The…
A developer exploring AI platform engineering found that the most challenging problems lie in distributed systems and scheduling rather than machine learning itself. The analysis of GPUs, Ray, vLLM, and Kubernetes reveal…
Data engineering is the development and maintenance of systems that produce high-quality, consistent information from raw data, supporting downstream use cases like analysis and machine learning. The discipline follows a…
ONNX Runtime, an open-source inference engine, enables interoperability of machine learning models across frameworks and hardware platforms by leveraging the ONNX standard. It simplifies deployment by allowing models tra…
Ema, an Agentic AI platform company founded by former Google, Coinbase, Flipkart, and Okta executives, is hiring for its AI/Data Resident program, a 6-month remote internship in India for final-year undergraduate compute…
Billionaire Ken Griffin told Goldman Sachs that most corporate claims about AI are actually about machine learning or digitization, not true artificial intelligence. He warned that conflating these terms misrepresents th…
Khosla Ventures and Radical Ventures co-led an undisclosed initial funding round for Discovery Loop, the AI research startup founded by Jeff Dean and three Google veterans, with participation from Kleiner Perkins, Lights…
Travis Kalanick's industrial automation company Atoms has raised $1.7 billion and is staffing a physical AI empire, with 55 open positions on its Greenhouse board as of Wednesday. The hiring push, announced via X on July…
A developer built a Python-based machine learning framework that applies monadic design principles to streamline the research-to-production lifecycle. The framework centers on two abstractions: a DataPod that carries dat…
Flipkart's Gridlock Hackathon 2.0, held with Bengaluru Traffic Police, MapmyIndia, Arcadis, and HackerEarth, produced over 1,100 AI and machine learning prototypes to address Bengaluru's traffic congestion, drawing 33,60…
A machine-learning screen of 2.6 million cancer papers found nearly 10% show signs of paper mill fraud, while fabricated citations in biomedical papers have grown twelve-fold in two years, reaching one in 277 papers in e…
Researchers at the University of New Mexico School of Medicine analyzed electronic health records of over 1.3 million Veterans Health Administration patients and found that standard diagnosis codes captured self-harm his…
A developer outlined an architecture for forest monitoring that fuses satellite imagery, LiDAR, IoT ground sensors, weather data, and machine learning models into a layered pipeline spanning ingestion, processing, spatia…
Seventy-five researchers, including four from USC Viterbi School of Engineering, attended the Argonne Training Program on Extreme-Scale Computing (ATPESC), a two-week intensive course covering GPU architectures, parallel…
Dyson unveiled the CameraJet, a toothbrush with an integrated 100k pixel macro lens camera and machine learning that detects gaps between teeth and fires a conical jet of mouthrinse to floss while brushing, claiming it i…
Outer Biosciences, a 19-person company led by Michael Polansky, has raised approximately $23 million to build a skin-assay licensing business that uses machine learning and human skin tissue viable for four weeks to iden…
JFrog warns that AI model registries have become a primary attack vector in cybersecurity, as centralized repositories for storing and versioning machine learning artifacts lack mature security controls and can execute a…
Military power is shifting from platforms to AI-driven data pipelines that can detect, decide, and act faster than human-only command structures. Sensor fusion and machine learning are being used to process vast amounts …
A statistician with a PhD in machine learning argues that nearly every Amazon SaaS tool claiming to use AI is not training the models it says it trained, instead relying on rule-based logic, traditional ML, or LLM API ca…