Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
An engineer warns that LLM judges used to evaluate other models in production pipelines are often unvalidated, leading to silent failures where scores do not correlate with human judgment. The developer proposes treating…
A study led by researchers at the Centre for Addiction and Mental Health (CAMH) in Toronto found that a machine learning model designed to predict aggression on psychiatric wards systematically overestimates risk for Bla…
A developer built repeated-poker-analysis, an experimental Python toolkit for small abstract poker games that analyzes the value of committing to a fixed strategy across repeated occurrences of the same spot. The tool ru…
A Forward Deployed Engineer working on AI adoption reports that TDD cannot guarantee design correctness, especially when AI generates tests. The engineer describes an incident where a function signature change broke call…
Moss, a sub-10 ms semantic search runtime, removes the need for a vector database in AI agent stacks by embedding search and embedding inside the application process, eliminating network hops. Benchmarks show Moss achiev…
Python's Beautiful Soup library remains a top choice for web scraping in 2026, offering a gentle learning curve and robust HTML parsing. A step-by-step guide demonstrates scraping book data from books.toscrape.com using …
Researchers at UC Berkeley have developed an AI system trained on over 440,000 EKGs that can identify patients at risk of sudden cardiac death with greater accuracy than current clinical tests. The model isolates a high-…
Researchers introduce forward self-models, small networks trained to predict a neural network's later-layer activations from earlier-layer activations, achieving up to 97% cosine similarity and 94% KL divergence recovery…
BMW's AI platform now processes 16.6 billion daily requests from 24.5 million connected vehicles, handling 184 terabytes of data and 100 million API calls with sub-second latency. The platform supports over 600 AI use ca…
AI clusters often underperform despite powerful GPUs because the GPUs are idle due to bottlenecks in data loading, CPU preprocessing, network communication, or storage contention. A developer explains that fixing these H…
Skillmaxxing, a new open-source CLI tool, enables coding agents like Claude Code and Codex to automatically create and improve their own skills over time by reflecting on completed work, eliminating the need for manual c…
A developer evaluated four free neural TTS options—edge-tts, Kokoro, MeloTTS, and Bark—for use in CI pipelines without a GPU. edge-tts offers broadcast-quality voices via an unofficial Microsoft endpoint, while Kokoro an…
Alibaba's Qwen team released Qwen-AgentWorld-35B-A3B, a language world model that predicts environment states rather than actions, trained on over 10 million interaction trajectories across seven agent domains. The model…
NVIDIA researchers introduced cuTile Rust, a tile-based DSL that extends Rust's ownership and borrowing rules across the GPU launch boundary, enabling memory-safe GPU kernels without sacrificing performance. On an NVIDIA…
A solo developer building LOOM, an open-source language designed as a machine-checked trust layer for AI-written code, has added a WebAssembly backend by manually emitting the binary bytes. The language now compiles to W…
A tutorial series on type inference begins, covering the Damas-Hindley-Milner type system, unification, bidirectional type-checking, Algorithm J, row polymorphism, newtype declarations, type annotations, mutually recursi…
NVOC, an open-source Linux tool for overclocking NVIDIA GPUs, has reached version 0.3.0 with multi-GPU support, machine-readable JSON output, and improved memory overclocking for AI workloads. The tool now supports targe…
An intern at TechRealm x PreserveMy.World compared five 3D reconstruction methods for preserving cultural heritage sites, including COLMAP, NeRF, Gaussian Splatting, monocular depth estimation, and multi-view stereo. The…
A developer built SuperCompress, an open-source CPU policy that cuts 65% of tokens before LLM inference, reducing costs and environmental impact. The tool scores each line of context for relevance, evicting low-scoring t…
A developer building LSTMs with PyTorch and Lightning AI implemented the training_step function and ran initial predictions without training. The model predicted Company A's stock price reasonably close to the observed v…