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Found 152 results for "neural network"
RAG-GNN: retrieval-augmented graph neural networks for protein interaction network embeddings
We present RAG-GNN, an end-to-end trainable framework that augments a graph neural network (GNN) encoder for…
PaSTO-GNN: prompt-aware spatio-temporal graph neural networks for automatic essay scoring
Automatic Essay Scoring (AES) aims to evaluate the quality of written essays automatically, providing fast,…
AE-HGNN: attention-enhanced hypergraph neural networks for interpretable stress prediction through higher-order dependency modeling
Stress is a significant contributor to the deterioration of mental and physical health, including conditions…
Understanding neural networks through sparse circuits
OpenAI is exploring mechanistic interpretability to understand how neural networks reason. Our new sparse…
Techniques for training large neural networks
Large neural networks are at the core of many recent advances in AI, but training them is a difficult…
Introducing Triton: Open-source GPU programming for neural networks
We’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with…
Multimodal neurons in artificial neural networks
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally,…
Simple considerations for simple people building fancy neural networks
Back to Articles 🚧 Simple considerations for simple people building fancy neural networks Published…
Learning sparse neural networks through L₀ regularization
Learning sparse neural networks through L₀ regularization. OpenAI News - artificial intelligence news.
Stochastic Neural Networks for hierarchical reinforcement learning
Stochastic Neural Networks for hierarchical reinforcement learning. OpenAI ChatGPT - artificial intelligence…
Adversarial attacks on neural network policies
Adversarial attacks on neural network policies. OpenAI ChatGPT - artificial intelligence news.
Weight normalization: A simple reparameterization to accelerate training of deep neural networks
Weight normalization: A simple reparameterization to accelerate training of deep neural networks. OpenAI…
Understanding Mixture of Experts (MoE)
A Beginner’s Guide with PyTorchIf you’ve ever wondered how modern AI models handle complex tasks like…
Open Research, Tooling & Optimization at PyTorch Conference North America 2026
TL;DR Taking place October 20 to 21 in San Jose, California, PyTorch Conference North America 2026 highlights…
I Trained a Fly’s Brain to Generate WIRED Story Ideas
A sampling of his early output: “The Hidden Weather Problem Inside Surveillance”; “The Engineers Who…
OpenAI buys smartphone camera maker Glass Imaging for $300 million, report says
In Brief Posted: 1:44 PM PDT · September 14, 2026 Image Credits:YIN WENJIE / Getty Images Amanda Silberling…
Opaque recurrence, and other AI terms that you should probably know
AI is rewriting the world and, at the same time, inventing a whole new language to describe how it’s doing…
AI systems are reaching out to philosophers and scientists with questions about their own consciousness
AI systems are reaching out to philosophers and scientists with questions about their own consciousness…
Training a coding model to paint watercolours with TRL and OpenEnv
Back to Articles Training a coding model to paint watercolours with TRL and OpenEnv Published September 3,…
PyTorch 2.14 Release Blog
We are excited to announce the release of PyTorch® 2.14 (release notes)! The PyTorch 2.14 release features…
Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI
Back to Articles Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI Published September 1,…
My LLM Benchmark Came Out Flawless. That Was My First Warning Sign.
How a 0% attack rate led to a much bigger discovery about LLM activation steering and what actually matters…
Building Real-Time Voice AI Agents: Choosing Models, Frameworks, Protocols, and Hosting
A practical guide to building fast, natural, production-ready voice AI.Organizations are racing to bring…
Reduce ASR inference costs by 75% with NVIDIA MPS on Amazon EC2
This post is a collaboration between AWS, NVIDIA and Heidi. Reducing automatic speech recognition (ASR)…