Neural Networks news and analysis on Web Pulse: 1659 curated articles tracking the latest Neural Networks developments, tools, and research, updated continuously from vetted sources.
A multifidelity railway-bogie response-correction method combining a time-delay neural network (TDNN) with physics-informed residual learning achieved a mean coefficient of determination of 0.8197, a mean normalized root…
A bio-inspired deep learning framework achieved 92.2% accuracy in recognizing the odor perception of multi-molecule mixtures, according to a study published on arXiv as 2609.11958v1. The framework builds neural response …
Researchers trained a publicly released Drosophila connectome of roughly 166,000 neurons and more than 125 million connections to classify emails, reaching about 80% accuracy against a small conventional neural network u…
Google DeepMind researchers released a public dataset mapping the Drosophila fruit fly brain, documenting roughly 166,000 neurons and more than 125 million connections, which hobbyists have since loaded into simulations …
Capsize Games released Spikeforge, an open-source toolchain for spiking neural networks that encodes data into spikes, trains and inspects networks, and deploys models to targets including the lava_loihi2 backend. The pr…
A developer behind NNTC, an open-source texture compression project on GitHub, reports that a bilinear/degree-2 polynomial decoder fitted to each PBR material can match or beat MLP-based neural texturing on raw PSNR afte…
A new tutorial demonstrates building an end-to-end hierarchical Neural Radiance Field (NeRF) using JAX, Flax, Optax, and the volume-rendering primitives in Google Research's jax3d library. The tutorial constructs a synth…
Princeton researcher Yifan Zhang published a technical report proposing a Recurrent Looped Transformer (RLT) that pairs a causal encoder with a recurrent decoder carrying its final hidden state and layerwise sliding-wind…
Researchers introduced PC-ALM, a local-learning method that trains 1000-layer neural networks using only local dynamics and without backpropagation, generalizing predictive coding by replacing its energy function with an…
A digital simulation of an adult male fruit fly's brain, built on the MaleCNS v1.0 connectome released earlier this month by an international group of scientists including Google Research, turned $100 into $101 in its fi…
Software engineer Alex Wormuth built a simulated fruit fly brain from Google's connectome map and trained it to play the 1993 shooter Doom, feeding each game frame's 3,335 brightness inputs and 811 R8 color inputs into a…
A developer released soup-connectome v0.1.0, a portable runtime that executes sparse biological connectomes across CPU, CUDA, WebGPU, and WASM using deterministic fixed-point LIF semantics, with the Janelia male fruit-fl…
A technical explainer walks through the fundamentals of artificial neural networks, tracing their inspiration from biological neurons to their implementation as layered mathematical models. It describes how input, hidden…
A developer released Fly Arena, an open-source simulation that combines a NeuroMechFly body in MuJoCo with MaleCNS v1.0 connectome data and explicit behavioral controllers to model a fruit fly. The hybrid mode supports w…
A paper submitted on 28 Sep 2025 to arXiv's Computer Science > Artificial Intelligence section formalizes the correspondence between fibring of modal logics and fibring of neural networks, a gap the authors say was never…
Tesla AI lead Ashok Elluswamy said Full Self-Driving version 15 will deliver "even earlier prediction of hazards, even faster reaction time and overall significantly better safety and collision avoidance," with the next …
Developer jens published a project called "Artificial Neural Networks - Sprite Layers" on June 20, 2025, a building kit that uses a single "Layer" sprite to construct a classical Rosenblatt perceptron, with duplicated La…
A historical survey traces the first physical and computational reinforcement learning machines built between 1948 and 1954, beginning with Norbert Wiener's 1948 Cybernetics and its negative-feedback principle, which the…
A developer explains that generative models are not designed to memorize datasets but to approximate the unknown probability structure behind observed samples. The writeup outlines how a parameterized Model Distribution …
Researchers proposed CoMA-DiT, a bidirectional cross-modal Diffusion Transformer for latent augmentation that treats paired modalities as mutual generative supervision, according to an arXiv paper (2609.11341v1). In expe…