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Backblaze has published daily health readings of every hard drive in its data centers since April 2013, and the open dataset has been cited in more than 227 papers and articles since 2018, powering research in AI/ML incl…
A developer published a guide demonstrating how Scikit-Learn's Pipeline and ColumnTransformer modules can be combined into a reproducible machine learning workflow, using the classic Titanic survival dataset as a case st…
The OpenAI API is the most widely used interface for integrating AI models into products, offering features like chat completions, streaming, function calling, embeddings, image generation, and speech. The article provid…
PINNStudio, a free, open-source no-code graphical user interface for setting up, training, and visualizing physics-informed neural networks (PINNs), has been released to help researchers with limited coding experience. T…
Developers can demystify AI by understanding that AI, ML, deep learning, and LLMs are nested concepts, not synonyms, and that training and inference are the two halves of a model's life, with most app developers working …
A developer published a public machine learning learning repository covering the stack from NumPy to Transformers, built over 5 months with daily commits. The repo's notebooks span classical ML with scikit-learn and XGBo…
The average professional spends 11.7 hours weekly managing email, and high-volume leaders handle over 300 messages per day, driving the need for unified inbox platforms that consolidate email, Slack, and Microsoft Teams.…
Java is a strong choice for AI development in enterprise settings, offering mature frameworks like Spring Boot and Spring AI to integrate AI capabilities into existing systems. The tutorial demonstrates how Java develope…
A new book, 'Modern GPU Programming For MLSys', teaches GPU kernel optimization for machine learning systems, focusing on Blackwell architecture and techniques like GEMM and FlashAttention. Developed from Carnegie Mellon…
A machine-learning practitioner built a horse-racing ranking model trained on 1.18 million runners and evaluated it with walk-forward validation, finding that the betting market remains a very strong baseline. The projec…
British autonomous-vehicle software startup Wayve is launching a new research unit called Wayve Labs, led by chief scientist Jamie Shotton, to explore embodied intelligence systems beyond self-driving cars. The lab will …
AI lead scoring uses machine learning to help financial advisors prioritize prospective clients most likely to convert, replacing manual rule-based systems with models that analyze historical data and behavioral patterns…
Researchers at the SMM4H-HeaRD 2026 conference used deep learning models to predict cancer stages from pathology reports, with LightGBM and TF-IDF achieving high AUROC scores. However, performance dropped significantly d…
A Swiss family doctor has developed shii • haa, a breathing app that uses a phone's microphone to provide live biofeedback on rhythm, depth, and regularity without uploading any speech or raw audio. The app processes all…
Landmark-based embeddings on inhomogeneous random graphs offer tighter dimension-distortion trade-offs than traditional worst-case bounds, improving distance preservation in graph machine learning. A GNN-augmented varian…
Programming undergoes a technology shift roughly every decade, but the engineering fundamentals remain unchanged, argues Fagner Brack in a Medium essay. Each cycle—from punch cards to AI agents—renames the same principle…
A developer published two Rust CLI demos, gemma-rust and gemma-rust-mcp, that query a self-hosted Gemma 4 E2B model through an OpenAI-compatible HTTP endpoint and through an MCP server, respectively. The HTTP client prin…
A machine learning algorithm has been used to invent new words, such as 'lognition', defined as 'the gradual recognition of one's own individuality', and to generate alternative definitions for existing words. The projec…
A debut novel has been pulled from publishing and film/TV consideration over concerns that AI was used in its creation, according to a Deadline report cited by author John Scalzi on his blog. The issue stems from potenti…
Researchers developed an incremental approximate message passing (IAMP) algorithm for empirical risk minimization under a multi-index model, achieving near-optimal training and test error in high-dimensional asymptotics.…