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.
Elon Musk's brain chip startup Neuralink is being valued as high as $42 billion in secondary market transactions, a nearly fivefold increase from its $9 billion valuation in its last funding round last year, according to…
A developer built a probabilistic graph neural network for circular manufacturing supply chains, addressing the brittleness of deterministic GNNs during mission-critical recovery windows. The model uses Bayesian layers t…
Haithem Turki, a Ph.D. graduate in Computer Science from Carnegie Mellon University, focuses his research on reconstructing, simulating, and generating dynamic 3D worlds, spanning scalable neural scene reconstruction, re…
The University of Tennessee Research Foundation filed a patent infringement lawsuit against Anthropic on Monday in Delaware federal court, accusing the AI company of using its neural network technology without permission…
Cian trained a neural network on a Raspberry Pi to read his gas meter and automatically notify his gas company, eliminating the need for manual readings. The system uses a camera and computer vision to discern digits on …
The University of Tennessee Research Foundation has sued Anthropic in Delaware federal court for allegedly infringing its patents on neural network technology, marking what is believed to be the first patent infringement…
A developer implemented Sigmoid, Tanh, ReLU, Leaky ReLU, and Softmax from scratch in Python and realized that the derivative of an activation function is what actually teaches the neural network how to learn. The activat…
Researchers have developed Sobek, a generated-CUDA backend for streaming equivariant tensor product convolutions that eliminates edge-sized intermediates, achieving speedups of 1.2× to 49.7× and reducing peak memory by u…
A new implementation of the Fuzzy-Pattern Tsetlin Machine achieves 37 million MNIST predictions per second at 98% accuracy with 4.7 GB/s throughput on a desktop CPU, and demonstrates the first Tsetlin Machine–based text …
BrainCo, a Hangzhou brain-computer interface developer, demonstrated a brain-controlled robot platform at WAIC 2026 that uses an EEG headset to translate neural signals into commands for humanoid robots, robotic arms and…
Cisco AI engineer Shridhar Shah built a tiny multi-agent system where an agent learns to hallucinate future frames of a predator-prey game and then practices inside its own dream. Shah found that a dream model only stays…
A developer built a neural network training loop in five lines using JAX, demonstrating gradient descent from scratch and achieving a 32x speedup with JIT compilation on a MacBook CPU. The project verifies JAX's gradient…
Researchers propose Group-Contrastive Forward-Forward (GCFF), a biologically plausible learning algorithm that yields monosemantic neurons organized into hierarchies of increasing abstraction without sparsity constraints…
A new survey from arXiv provides a comprehensive review of Graph Neural Network (GNN)-based link prediction, proposing a taxonomy that categorizes advances by technique (GCN, GAE, GAT, GFormer) and application (knowledge…
Researchers propose Neural Depth Field (NDF), showing that a depth estimator can function as a scene-level implicit field for 3D geometry inpainting and reconstruction. NDF reduces cross-view inconsistency by 63.3% and i…
Researchers propose Multi-level Context Fusion MOE (MCF-MOE), a framework that improves expert selection consistency in Mixture-of-Experts Transformer models by integrating cross-layer semantic aggregation and local toke…
Researchers have developed a Generalist Controller, a learning-based controller that uses attention mechanisms and a mixture-of-experts architecture to control systems of varying orders and dynamics without system-specif…
A new study shows that 4-bit quantization causes catastrophic accuracy collapse in recursive reasoning models, dropping Sudoku exact-solution accuracy from 84.1% to 0.0%, but per-block scaling using MXInt4 completely res…
Researchers introduce the Diffusion-corrected Auto-Regressive Fourier Neural Operator (DiffARFNO), a two-stage framework combining an autoregressive Fourier-MIONet with a conditional Denoising Diffusion Implicit Model (D…
Researchers propose Identity-Consistent Expression Fields (ICEF), a framework that disentangles static identity-specific radiance from dynamic expression-conditioned deformation in Neural Radiance Fields for few-shot fac…