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.
A new study from researchers using graph neural networks (GNNs) predicts groundwater arsenic concentrations across the United States, matching or outperforming gradient-boosted trees by accounting for spatial dependence.…
Researchers propose a cross-subject semantic decoding framework that aligns neural responses to speech perception from multiple subjects into a shared latent space using the shared response model, then trains a decoder t…
Researchers have developed a new method for monitoring honey bee colony strength using audio IoT sensors, modulation tensorgrams, and recurrent neural networks that improves accuracy and cross-hive generalizability over …
A video titled 'The First Neural Networks' has been published on YouTube, exploring the early development of neural networks. The content is hosted by YouTube under Google LLC, with copyright dated 2026.
Rotary Position Embedding (RoPE), introduced by Su et al. in 2021, solves the Transformer long-context problem by rotating Query and Key vectors in 2D sub-planes, making attention depend only on relative token offsets. T…
A study from MIT's McGovern Institute for Brain Research found that severe language impairment does not prevent people from performing well on logical reasoning tasks, indicating that logical reasoning does not rely on b…
Neural networks can achieve lossless regression of cubic polynomials by internally accessing a variable closely related to the substitution used in the Cardano method, a technique invented in Milan 500 years ago, accordi…
Researchers have derived exact backpropagation from Hamilton's least-action principle, unifying inference and gradient computation within a single variational framework on a doubled phase space. The work, submitted to ar…
Graph machine learning and graph neural networks (GNNs) are transforming banking by modeling relationships between entities for fraud detection, anti-money laundering, credit risk modeling, and customer intelligence, mov…
Researchers propose UnMixNet, a physics-closed graph neural solver that embeds Maxwell-Stefan multicomponent transport PDEs, competitive adsorption ODEs, and nonlinear sensor transduction ODEs into end-to-end gas unmixin…
A new study from arXiv (2607.18321v1) provides empirical evidence that the human brain's N400 response to next-word predictability during reading differs significantly between content words and function words, with verbs…
A study from arXiv shows that adding lightweight depthwise convolutions to Qwen3 Transformer blocks improves average accuracy on seven downstream benchmarks while adding less than 0.01% parameters. The best results occur…
Researchers have introduced SechKAN, a Kolmogorov-Arnold Network architecture using hyperbolic secant functions, which achieves superior performance over MLPs and other KAN variants on benchmark datasets including MNIST,…
Researchers propose Dual Attention Residuals (DAR), a method that brings multi-stream interaction into historical retrieval for Transformer models through reciprocal cross-stream addressing. Across dense models from 0.1B…
BearingNAS, a Hardware-Aware Neural Network Architecture Search framework, enables in-sensor intelligent fault diagnosis for bearings using only a laptop CPU, achieving 99.50% diagnostic accuracy on the LSM6DSO16IS Intel…
Researchers propose IGGT4D, a streaming instance-grounded geometry Transformer for online 4D scene understanding that unifies camera motion, scene geometry, and consistent instance features within a single feed-forward f…
A controlled study pretraining attention-only decoder transformers (Simple Attention Networks) against standard transformers matched for parameters, compute, and depth found that reallocating the feed-forward budget into…
Maayan Roth, a software engineer, is revisiting machine learning fundamentals by reading Andriy Burkov's 'The Hundred-Page Languages Models Book' to better understand large language models. In Chapter 1, she learns about…
A new study published in Royal Society Open Science reveals that cushions of the moss Brachythecium rutabulum generate complex electrical wave patterns resembling neural activity, suggesting the plants may function as di…
New research reveals that a single human neuron can perform computations complex enough to rival a deep artificial neural network, challenging previous understanding of brain cell capabilities.