Machine learning news — deep learning, reinforcement learning, neural architecture search, diffusion models, and new ML frameworks and libraries.
Jürgen Schmidhuber, a pioneer in artificial intelligence, published the first Transformer variant, the unnormalized linear Transformer (ULTRA), in March 1991, which scales linearly in input size compared to the quadratic…
Towards Data Science reports that LoRA fine-tuning of the SigLip model resolved an under-labeling problem for the authors, but the decision to fine-tune depends on three key questions. The article cautions that fine-tuni…
Uber Technologies Inc. faces an €825 million fine from Dutch regulators over automated driver deactivation decisions, highlighting legal risks in AI workflows. The fine underscores failures in transparency, human oversig…
Researchers developed a memory-efficient, single-GPU training and inference architecture for autoformalizing natural language mathematics into Lean 4 statement code, using the Qwen3-Coder-30B-A3B sparse Mixture-of-Expert…
Matt Mazur's tutorial 'A Step by Step Backpropagation Example' provides a concrete numerical example of the backpropagation algorithm for training a neural network, using a network with two inputs, two hidden neurons, tw…
A new explainer describes neural networks as machines that learn by adjusting millions of dials through repeated forward and backward passes, starting with random guesses and refining until they work. The piece, written …
An engineer reports that AI is transforming the field of mathematics, with machine learning models now capable of discovering new theorems and proofs. The project demonstrates how neural networks can assist mathematician…
Independent researcher Samuel A. in Germany is seeking arXiv cs.CV endorsement for AcroMELD, a 39.4M parameter detector that recovers interactive form fields in flat PDFs, with weights available on Hugging Face Hub and i…
A developer at StratCraft detailed the challenges of building machine learning trading systems, emphasizing that data preparation and validation geometry are more critical than the model training call itself. The post hi…
Retiring baby boomers are taking undocumented institutional knowledge that AI systems need, causing AI projects to stall, according to an industry analysis. The article reports that current knowledge capture methods are …
A new memory system for autonomous agents uses Independent Component Analysis (ICA) and FAISS vector databases to overcome the curse of dimensionality, compressing dimensions based on short-term memory differences to enc…
A developer is building MyMangaList, a manga discovery and reading project, and exploring the technical challenges of AI-assisted manga translation. The project aims to make it easier for readers to explore different man…
Math Academy's AI is an expert system that emulates an expert tutor's decisions by combining a knowledge graph, a student model using spaced repetition, a diagnostic algorithm, and a task-selection algorithm to optimize …
Xyntetik Runner now trains LoRA adapters directly through quantized GGUF serving weights, eliminating the separate FP16 training copy. In a reproducible experiment, a tool-use LoRA trained on a frozen Qwen3-4B Q4_K_M GGU…
Microsoft Azure certifications in 2026 emphasize hands-on scenario-based testing and role-based specialization, with continuous free renewal through Microsoft Learn. The core tracks, including AZ-204 for developers, AZ-8…
Divyakush Punjabi, a full-stack and AI systems engineer, built the GovernAI Research Atlas, a semantic discovery platform that unifies research across papers, repositories, and policy. The platform uses ChromaDB vector s…
A developer built an autonomous multi-agent system using LangGraph, LangChain, Tavily Search, and Playwright that researches complex topics and renders handwritten-style study notes as PNG screenshots. The system, deploy…
No Starch Press announced the release of 'Embedded AI', a new book by David Such that teaches engineers how to add artificial intelligence to embedded systems. The book includes more than 25 hands-on projects, such as a …
Researchers introduced BDH-CQ, a reasoning model combining in-context learning with recurrent latent reasoning, achieving 29.5% pass@2 on the ARC-AGI-1 evaluation set with a 150M-parameter configuration at a computed inf…
Developer Bhaumik Tandan built ThodaSa, a TikTok-style shopping feed for the Indian market with a recommender system that runs entirely in client-side JavaScript. The static site on GitHub Pages uses 13-dimensional produ…