Neural Networks news and analysis on Web Pulse: 1656 curated articles tracking the latest Neural Networks developments, tools, and research, updated continuously from vetted sources.
Researchers developed ASDint, a spiking neural network model, paired with SyNC, an ASIC-based hardware architecture, to analyze glutamatergic neuron synapse dysfunction in Autism Spectrum Disorders and related neurologic…
Scientists have mapped a fruit fly's brain in detailed resolution and are using the data to build computational models of its neural network. The work remains far from any human-brain emulation, with the mapping of biolo…
Researchers introduced Effective State-Size (ESS), a proxy metric for memory utilization in deep learning sequence models, in a paper accepted at ICML 2025. The work shows that any equivalent recurrence must materialize …
A new arXiv paper (2609.16752v1) introduces the Cognitive Field Network (CFN), a recurrent Transformer in which an organized hidden field re-enters subsequent inference via the update rule Phi_{n+1}=F_theta(X_{n+1},Phi_n…
A new parameter-pruning scheme derived from the Fisher information metric's geodesic distance in model space outperforms magnitude pruning and local Fisher information pruning across every architecture and dataset combin…
Researchers proposed Causal Neural Set Filtering (CNSF), a neural set filter that encodes only current measurements while carrying past evidence in a structured recursive track state, reducing mean GOSPA and T-GOSPA rela…
A transformer-enhanced neural operator (TNO) predicted transonic compressor blade performance with lower error than state-of-the-art deep learning operators FNO and DeepONet, according to an arXiv paper (2609.16066v1) tr…
Researchers introduced RAIL, an interface exposing polyhedral enclosures of nonlinear dynamics to LiRPA-style bound propagation, and CLIPPER, a branch-and-bound algorithm that jointly refines enclosures and splits contro…
A study of Transformer representation evolution decomposes learned additive updates into parallel and perpendicular components, finding that pretrained models preserve their current direction more than they redirect it. …
A developer has built the NNTC Vulkan sample, a 3000+ line C++ implementation that supports VK_NV_cooperative_vector for decoding. The work means the same inference hardware used by neural network workloads also benefits…
A developer built a small recurrent neural network paired with an external memory system called Mycelium, testing whether memory can modulate neural state rather than being explicitly queried. The experiment, inspired by…
Developer GraafHenk released WangNet, a 1.8 MB JSON neural network with roughly 100 lines of pure Python standard-library inference code that adjudicates whether a number is Numberwang across 11 languages, requiring only…
Moritz Linn has paused Melody Matcher, a neural-network music recommender that used audio embeddings and candidate-conditioned attention over a listener's library, because the model does not work well. Linn's stated hypo…
Princeton researcher Yifan Zhang published a technical report on September 12, 2026 proposing the Recurrent Looped Transformer (RLT), an architecture that carries the decoder's final hidden state and sliding-window atten…
A developer has published a solution to a puzzle from a workshop on building a minimal hand-constructed transformer, demonstrating why position embeddings and residual connections are necessary. The extended model adds a…
A systematic evaluation of variational quantum circuits (VQCs) inside physics-informed neural networks (PINNs) for 2D incompressible Navier–Stokes found no robust quantum advantage across Taylor–Green, Kolmogorov forcing…
A developer surveyed several mental models for understanding neural networks, including viewing them as stacks of transformations, as function approximators, and as systems that sculpt functions through nonlinear activat…
A September 11, 2026 arXiv paper shows that permutation-based model confidentiality in hybrid fully homomorphic encryption (FHE) inference fails, with d+1 admissible queries per linear layer enabling exact recovery of a …
A physiology-guided hybrid framework combining a convolutional neural network branch with a morphology-prior branch estimated blood pressure from photoplethysmography (PPG) with mean absolute errors of 3.77 mmHg for syst…
Researchers proposed a Position Encoding-Based Deformable Spatial Aggregation Module (PEBDSAM) that addresses over-smoothing, over-compression, fixed receptive fields, and topological noise in graph neural networks, acco…