Neural Networks news and analysis on Web Pulse: 1660 curated articles tracking the latest Neural Networks developments, tools, and research, updated continuously from vetted sources.
A paper posted to arXiv (2609.10589v1) introduces Halo, a modification that reuses an existing deep forecaster's architecture to add a second output estimating the scale of its implied distribution and trains it under th…
Researchers introduced HiPerViT, a compact vision-only architecture that injects an explicit second-order statistical prior into a transformer-based recognition pipeline via a bilinear descriptor encoded as a statistical…
A developer has released Frost, a deep learning framework written in roughly 1,400 lines of code, built on top of the Neve programming language. The framework includes parallel dataloaders and GPU kernels, and ships with…
Warren McCulloch, a psychiatrist and neurophysiologist in his mid-forties, and Walter Pitts, a largely self-taught logician barely twenty, co-authored the 1943 paper "A Logical Calculus of the Ideas Immanent in Nervous A…
Anima Anandkumar and her Caltech group released a paper and code on September 7 showing a physics-informed neural network (PINN) can find a self-similar singular profile for the 3D Euler equations without forcing, a resu…
Lost Minds AI has open-sourced the mechanistic plane of its project reconstructing 1,600+ historical minds up to 1905, releasing runnable neural architectures written in pure NumPy for figures from Gilgamesh to Homer. Ea…
Google Research, in collaboration with HHMI Janelia Research Campus and other partners, has published a complete wiring diagram of the adult male fruit fly brain and central nervous system, containing roughly 166,000 neu…
Developers built game experiments on MaleCNS v1.0, a connectome of an adult male fruit fly's brain and central nervous system released publicly in June and described in Cell in September, with researchers from Google Res…
A developer built a system that connects a biologically accurate fly brain simulation to a Pong game, finding that the brain did not learn to play despite producing behavior that appeared alive. The experiment was design…
Non-invasive speech decoding remains constrained by the low signal-to-noise ratio of neural recordings, which makes fine-grained reconstruction of phonemes or individual words difficult, according to research motivated b…
A 499-neuron circuit extracted from MaleCNS v1.0, the Janelia-published CC-BY electron-microscopy reconstruction of a male fruit fly's central nervous system, was run as a reservoir on MNIST in PyTorch and MLX, matching …
Mechanistic interpretability researchers have abandoned the search for a single "One True Technique" after many-to-many neuron-to-concept mappings discovered in 2023 failed to transfer from artificially-simple 512-neuron…
A technical post in the Machine Learning series demonstrates teaching the sw-MLPL array language to express convolutional neural network operations, using the triple-sum convolution definition from Zhao, Wang, Wang and L…
Researchers introduced GraphNOSE, an open-source graph transformer framework that predicts multi-label odor descriptors from SMILES strings for single molecules and binary mixtures, according to an arXiv paper (2609.0569…
A hybrid candidate-generation architecture combining item-based collaborative filtering with graph neural network retrieval improved Recall@300 by 14.8% over the strongest baseline on a vacation rental platform with over…
A new deep, global Structure-from-Motion framework learns camera poses from noisy view-graphs using a permutation-equivariant, edge-conditioned graph neural network that outputs globally consistent camera extrinsics with…
A new arXiv paper (2609.05688v1) connects denoising score matching to maximum likelihood and Expectation-Maximization in mixed linear regression with unknown mixing weights. The analysis shows that, under mild regularity…
A paper submitted to arXiv on 4 Sep 2026 proves that every strictly positive probability distribution on {-1,1}^n is represented exactly by a sigmoid belief network with finite parameters, answering a question posed by I…
Researchers introduced Capsule Lens, a framework that fits a simple geometric "capsule" defined by interpretable parameters in closed form to each concept's region in a machine learning model's internal representations, …
A paper submitted to arXiv on 4 Sep 2026 by Julian Szymanski introduces a neural network-based method for estimating respiratory rate from ECG signals by exploiting Respiratory Sinus Arrhythmia (RSA). The approach trains…