60 stories tagged with #neural, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Hybrid LSTM-Graph Neural Framework for Robust Financial Fraud Detection and Adversarial Resilience
arXiv:2607.19350v1 Announce Type: new Abstract: Financial institutions face significant challenges in detecting sophisticated money laundering patterns, such as smurfing and layeri…
Anthropic sued for infringing neural network technology patents - Reuters
Anthropic sued for infringing neural network technology patents Reuters…
PRecG: Legal Precedent Retrieval with Graph Neural Networks and Rhetorical Role Segmentation
Legal precedent retrieval is a fundamental task in legal case preparation, planning, litigation strategy, and legal research. Current approaches for automatic precedent retrieval m…
While Musk's Neuralink drills into skulls, China's BrainCo bets the future of brain tech is wearable
Interest in brain-computer interfaces is rising as it promises to help people with compromised neural abilities.…
I made a game that teaches you how AI works
A game for teaching people how neural network training works - Tylersuard/Synapse_neural_net_training_game…
NeuralTrust, which offers tech that lets enterprises discover, monitor, govern, and secure AI agents, raised a $20M seed led by Alstin Capital (Tamara Djurickovic/Tech.eu)
Tamara Djurickovic / Tech.eu : NeuralTrust, which offers tech that lets enterprises discover, monitor, govern, and secure AI agents, raised a $20M seed led by Alstin Capital — Neur…
The Smallest Brain You Can Build: A Perceptron in Python
A perceptron explained from scratch in Python, with interactive demos. Learn weights, bias, the decision boundary, epochs, learning rate, and why we normalize data.…
The Machines Making People Human Again
ALS patients slowly lose their voices. Neuralink, a medical start-up owned by Elon Musk, can restore them, reports Maya Sulkin.…
Deep Neural Network that turns any Image into a Playable Game ! All on consumer GPUs and Not Datacenters
Neuroevloutionary Wordle
Sam Burns' Tech Blog…
The Apple Neural Engine Inference Book
New Gemini Live voices rolling out, Android widget gets Neural Expressive icons
Following last week’s Neural Expressive redesign, the Gemini app is rolling out new voices for the main chat experience and Gemini Live.…
Neuro-Symbolic Verification of LLM Outputs for Data-Sensitive Domains (extended preprint)
LLMs deployed in high-stakes domains face fundamental reliability challenges: hallucinations, inconsistencies, and privacy vulnerabilities introduce unacceptable risks where errors…
Planning Neural Dynamics with Lie Group Embedding through Supervised Projective Manifold Learning
We propose Lie group embedded dynamical neural networks (LieEDNN) and the corresponding learning algorithms based on gradient descent and metric projection on smooth manifold, wher…
What will you think of when you read about a neural network!!? Mathematics? 🤔
The Math Behind Neural Networks — Explained Like Nobody Did for Me 🧨 ...…
Gemini unveils Neural Expressive design language at Google I/O 2026
Google unveiled Neural Expressive at I/O 2026, a new design language for the Gemini AI app featuring animations, haptic feedback, and dynamic visuals for 900M+ users.…
Micrometer CT Reveals Clitoral Neural Anatomy
High resolution 3-D imaging reveals a dense, branching dorsal nerve network in the clitoral glans, challenging anatomical assumptions and guiding surgical strategies to preserve se…
In Search of the Ingredients of Open-Endedness: Replicating Picbreeder with Large Vision-Language Models
We are in the midst of large-scale industrial and academic efforts to automate the processes of scientific, technological and creative production through AI-driven assistants. Hist…
SPACE: Unifying Symmetric and Asymmetric Routing Problems for Generalist Neural Solver
Generalist neural routing solvers have shown great potential in solving diverse vehicle routing problems (VRPs) with a unified model. However, existing solvers are typically limite…
Boosting Inference with Guided Reasoning: Stochastic Exploration for Recursive Models
Recent work on recursive architectures has shown that tiny neural networks can be surprisingly powerful on structured reasoning tasks. The trick is to model reasoning trajectories …
How to check Apple Neural Engine (ANE) usage while running models?
Enhancing Deep Neural Network Reliability with Refinement and Calibration
Although deep neural networks (DNNs) achieve high predictive accuracy, their confidence estimates are often unreliable, potentially compromising user trust in their decisions. This…
Online Hand Gesture Recognition Using 3D Convolutional Neural Networks
In human computer interaction, real-time detection and classification of dynamic hand gestures is challenging as: 1) the system must run in a real-time video stream and there is no…
I Put a Neural Network in a Thermometer — Then It Got Out of Hand
How it all started About three years ago my wife asked me: "Honey, what do you think the...…
The Math Behind Neural Networks — Explained Like Nobody Did for Me 🧨
How does a neural network actually learn to be less wrong? Not the hand-wavy version. The real one....…
NeuralNote
Audio Plugin for Audio to MIDI transcription using deep learning. - DamRsn/NeuralNote…
I Built a Neural Network Engine in C# That Runs in Your Browser - No ONNX Runtime, No JavaScript Bridge, No Native Binaries
Eight months ago the creator of ILGPU told me supporting Blazor WebAssembly would be too difficult. Today I'm shipping a six-backend ML library to NuGet with five working demos. He…
Debiasing Graph Neural Networks for Recommendation with Causal RL
How to use Inverse Propensity Scoring and Causal Embeddings to fix popularity bias in GNN recommender systems.…
Google Just Declared the Chat-Log Interface Dead. Here's What Neural Expressive Actually Signals for Developers.
Every AI product launched in the last three years ships the same interface: a text box, a send...…
Germany just funded a €30M project to read your mental state in real time. Why is nobody talking about the legal vacuum around neural data?
High Quality Embeddings for Horn Logic Reasoning
Neural networks can be trained to rank the choices made by logical reasoners, resulting in more efficient searches for answers. A key step in this process is creating useful embedd…
Neural Estimation of Pairwise Mutual Information in Masked Discrete Sequence Models
Understanding dependencies between variables is critical for interpretability and efficient generation in masked diffusion models (MDMs), yet these models primarily expose marginal…
Closed-form predictive coding via hierarchical Gaussian filters
Predictive coding (PC) offers a local and biologically grounded alternative to backpropagation in the training of artificial neural networks, yet to date, it remains slower, and pe…
Representability-Aware Neural Networks for Reduced Density Matrices: Application to Fractional Chern Insulators
We develop a representability-aware and interpolable neural network (NN) framework for predicting two-particle reduced density matrices (2-RDMs). The NN incorporates a subset of re…
Weight Decay Regimes in Grokking Transformers: Cheap Online Diagnostics
Transformers trained on modular arithmetic exhibit sharp transitions between memorization, generalization, and collapse. We show that weight decay acts as a scalar empirical contro…
Machine-Learning-Enhanced Non-Invasive Testing for MASLD Fibrosis: Shallow-Deep Neural Networks Versus FIB-4, Tabular Foundation Models, and Large Language Models
Advanced fibrosis is a major determinant of liver-related morbidity in metabolic dysfunction-associated steatotic liver disease (MASLD). FIB-4 is widely used as a first-line non-in…
Collocational bootstrapping: A hypothesis about the learning of subject-verb agreement in humans and neural networks
In what ways might statistical signals in linguistic input assist with the acquisition of syntax? Here we hypothesize a mechanism called collocational bootstrapping, in which regul…
Axiomatizing Neural Networks via Pursuit of Subspaces
While deep neural networks have achieved remarkable success across a wide range of domains, their underlying mechanisms remain poorly understood, and they are often regarded as bla…
The Devil is in the Condition Numbers: Why is GLU Better than non-GLU Structure?
Gated Linear Units (GLU) and their variants are widely adopted in modern open-source large language model architectures and consistently outperform their non-gated counterparts, ye…
ELSA: An ELastic SNN Inference Architecture for Efficient Neuromorphic Computing
Spiking neural networks (SNNs) exploit event-driven and addition-only computation to substantially improve efficiency for intelligent computation. A key temporal property of SNNs, …
I ran MNIST on an ESP32-C3 without TensorFlow, TFLite, or any ML runtime
I ran MNIST digit recognition on an ESP32-C3 — without TensorFlow, TFLite, or any ML runtime. The...…
Generative Recursive Reasoning
How should future neural reasoning systems implement extended computation? Recursive Reasoning Models (RRMs) offer a promising alternative to autoregressive sequence extension by p…
Robust Basis Spline Decoupling for the Compression of Transformer Models
Decoupling is a powerful modeling paradigm for representing multivariate functions as compositions of linear transformations and univariate nonlinear functions. A single-layer deco…
Adaptive Multi-Scale Goodness Aggregation for Forward-Forward Learning
We propose Adaptive Multi-Scale Goodness Aggregation (AMSGA), a novel extension of the Forward-Forward (FF) algorithm designed to improve stability, robustness, and generalization …
Symmetry in the Wild: The Role of Equivariance in Neural Fluid Surrogates
Neural surrogates enable orders-of-magnitude acceleration of computational fluid dynamics (CFD) simulations, with the potential to transform engineering and healthcare workflows. N…
Lost and Found in Translation: Variational Diagnostics for Neural Codebook Channels
Classical communication systems fail not only through random noise but also when transmitter and receiver use incompatible operational codebooks. Variational autoencoders (VAEs) tr…
MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization
Large language models (LLMs) achieve strong performance across a wide range of tasks but are highly sensitive to prompt design, motivating the need for automatic prompt optimizatio…
Google says Gemini's MAUs grew to 900M+ across 230 countries, up from 400M at I/O 2025, and launches Neural Expressive, a new design language for Gemini (Josh Woodward/The Keyword)
Gemini app rolling out ‘Neural Expressive’ redesign, 3.5 Flash, 24/7 Spark agent, & Daily Brief
At I/O 2026, Google announced major updates for the Gemini app, starting with a new 3.5 Flash model that offers...…
The cut in the Mixture of Experts compute graph
LeetCode for Machine Learning. Practice ML coding problems with a real Python execution environment.…
NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
Multi-agent language systems are often built as hand-designed workflows, where agents are assigned semantic roles and communication protocols are specified in advance. We propose N…
Virtual Nodes Guided Dynamic Graph Neural Network for Brain Tumor Segmentation with Missing Modalities
Multimodal magnetic resonance imaging (MRI) is crucial for brain tumor segmentation, with many methods leveraging its four key modalities to capture complementary information for e…
Surface-Form Neural Sparse Retrieval: Robust Fuzzy Matching for Industrial Music Search
Music search at the scale of Amazon Music presents a unique challenge: queries frequently deviate from indexed metadata due to misspellings, transpositions, and phonetic variations…
A Geometric Calculator Inside a Neural Network
We found a neural mechanism that operates over manifolds: a general-purpose addition module inside Llama 3.1 8B which manipulates circular representations of numbers.…
Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
Toward recursive self-improvement, we investigate LLM agents autonomously designing foundation models beyond standard Transformers. We introduce a dual-framework approach: AIRA-Com…
Breakeven complexity: A new perspective on neural partial differential equation solvers
Neural surrogate solvers of partial differential equations (PDEs) promise dramatic speedups over numerical methods, especially in scenarios requiring many solves. However, current …
Diagonal Adaptive Non-local Observables on Quantum Neural Networks
Adaptive Non-local Observables (ANOs) have shown that making quantum observables dynamic can substantially enlarge the function space of Variational Quantum Algorithms, partly shif…
Neural Point-Forms
Point cloud learning often rests on the premise that observed samples are noisy traces of an underlying geometric object, such as a manifold embedded in a high-dimensional feature …
Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model
Humans abstract experiences into structured representations to facilitate pattern inference and knowledge transfer. While the hippocampal-entorhinal (HPC-MEC) circuit is known to r…
Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
Continual learning enables neural networks to learn tasks sequentially without forgetting previously acquired knowledge. However, neural networks suffer from catastrophic forgettin…