Neural Networks news and analysis on Web Pulse: 1259 curated articles tracking the latest Neural Networks developments, tools, and research, updated continuously from vetted sources.
EleutherAI's Pythia-410M model, trained on The Pile corpus, shows that neural network knowledge forms through gradual accretion rather than sudden ignition, with Paris reaching 15% probability as capital of France after …
Vladimir Vapnik and Alexey Chervonenkis, two Soviet mathematicians, laid the mathematical foundation of machine learning with their 1964 paper introducing VC theory, which formalized generalization bounds, capacity contr…
10am, an audiovisual neural stimulation tool for macOS and Windows, launches to help users enter deep work states by overlaying low-contrast visual rhythms and synchronized audio on any app or call. The tool, developed b…
Researchers at the MATRIX AI Consortium at The University of Texas at San Antonio have developed Genesis, a spiking neuromorphic accelerator chip that enables on-device continual learning without catastrophic forgetting.…
PLOS Computational Biology published ALFAssay on July 27, a feed-forward neural-network pipeline that estimates circulating tumor DNA fractions from cell-free DNA fragmentation profiles in breast cancer. Across 896 plasm…
A new analysis explains how mode-agile threats render static library radar and electronic warfare systems ineffective, and how AI/ML cognitive architectures using artificial neural networks, deep neural networks, fuzzy l…
Salk Institute neuroscientists have concluded that neural traveling waves in the visual cortex act as a computational engine, enabling the brain to build internal representations of the external world, according to a rev…
Mean Squared Error (MSE) loss does not incentivize neural networks to encode features in superposition, according to a new analysis by researchers Linda and Phil. The finding, demonstrated through mathematical proof and …
PIRAMID, a research initiative focused on statistical and mesoscopic theories of feature learning and generalization in neural networks, has released a progress update detailing team-by-team achievements and targets for …
A developer built a probabilistic graph neural network (PGNN) inference system for bio-inspired soft robotics maintenance, integrating ethical auditability from the start. The system models soft robots as graphs with pro…
A researcher received an Honorable Mention in BlueDot's Technical AI Safety Puzzle #1 for training a small MLP to encode a country feature on a chosen nonlinear manifold in three reserved channels, demonstrating that a m…
A developer built a 14-byte neural network that achieves a 96.5% solve rate on unseen 2D mazes, trained across 46 phases to improve performance and reduce size. The models navigate using only local neighborhood observati…
A residual MLP achieved 96.49% accuracy, 0.95 F1, and 0.9957 ROC-AUC by using residual connections that let blocks learn corrections (x + F(x)) instead of full rewrites, making deep networks trainable by preserving input…
Researchers at the Okinawa Institute of Science and Technology (OIST) created a virtual robot with a brain-inspired neural network that learns language faster when driven by curiosity, achieving genuine language understa…
A new Bayesian framework called Neural Atom Prevalence (NAP) achieves state-of-the-art structural sparsity in feedforward neural networks, reducing active nodes to as few as 8% of the original dense architecture on MNIST…
Researchers propose CARNet, a Cycle-Conditioned Core Aggregation and Redistribution framework for multivariate time series forecasting that integrates global recurrent cycle information into efficient core-based interact…
A new paper on arXiv (submitted July 23, 2026) provides an overview of Bayesian and frequentist simulation-based inference (SBI) with machine learning, covering methods such as neural posterior estimation and neural like…
A new study from researchers testing the quadratic model of optimization on a 150M-parameter LLM trained on 3B tokens finds that the simple model can predict optimization dynamics over windows lasting up to 10% of traini…
A developer explains the evolution of AI through distinct stages over 70 years, from rule-based systems to modern large language models and AI agents. The post highlights how each stage removed limitations of the previou…
Higher levels of background electrical brain activity, or neural noise, during speech processing are linked to greater difficulties in real-world communication among autistic youths, according to a study published in Sci…