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Found 188 results for "neural network"
[AINews] LLMs can read & write neural network weights: "Weight Space Programming" cuts Autoresearch out of the RSI loop
Amid a deepening bear market for AI/tech (worthy of dark humor) with Anthropic bonds receiving a “junk”…
SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks
SpaCEy links spatial tissue patterns to clinical outcomes using explainable graph neural networks. Nature ML…
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…
[AINews] Inkling 2 Small: 17A-594B trained in 68 hours on 12T tokens, beating Muse Spark
Build AI systems with context graphs and agentic memory. Join Andrew Ng and AI engineers at NODES 2026 for…
[AINews] It's Swapping Season
As much as there are headlines about changing sides all over the timeline today, there have been major moves…
[AINews] Behind Latent Space: Kill My SaaS, Jev & AI in 2026 | AIEi Shanghai
There’s a lot of dispute to yesterday’s title story on “Weight Space Programming” — and we agree…
Building ultra-low-latency voice AI applications on AWS
Conversational AI is transforming how humans interact with technology. From virtual assistants and AI-powered…
What If AI Builds the Robot Instead of Controlling It?
Last year I wrote about robotics moving from bespoke machines toward reusable foundation models, essentially…
I changed my mind about world models
Subscribe • Previous Issues What If AI Builds the Robot Instead of Controlling It? Last year I wrote…
Hugging Face ❤️ TorchTPU: TPUs, Natively
Back to Articles Hugging Face ❤️ TorchTPU: TPUs, Natively Published October 20, 2026 Update on GitHub…
“We were looking at it wrong”: The explosive claim that’s upended the AI world
“I think I have good news about the nature of neural networks.” With those simple words of optimism, Nick…
[AINews] High Taste Testers Ep. 1
We are piloting a new show on Latent Space: High Taste Testers, a variant of our food show where we pull you…
Is AI interpretability close to a breakthrough? A new essay has researchers divided
Neural networks may be much easier to read than researchers assumed, with about 90 percent of neurons serving…