
AI research papers are getting better, and it’s a big problem for scientists
AI-generated research papers are improving in quality, creating a problem for scientists as these papers are being...

AI-generated research papers are improving in quality, creating a problem for scientists as these papers are being...

This tutorial explores CuPy as a GPU-accelerated alternative to NumPy for high-performance numerical computing in...

The prestigious fellowship funds graduate studies at Stanford University.

Nous Research introduces Token Superposition Training (TST), a two-phase pre-training method that reduces wall-clock...

Bosch and research teams have developed a "touch dreaming" AI system that significantly improves humanoid robot...
Thinking Machines Lab introduced TML-Interaction-Small, a 276B parameter multimodal model that processes audio, video,...

MIT Open Learning has launched Universal AI, a new educational program designed to make AI accessible to learners...

Dimitris Bertsimas and Megan Mitchell discuss the motivation behind Universal Learning, and what sets the new MIT Open...

Tilde Research has introduced Aurora, a new neural network optimizer that fixes a critical flaw in the Muon optimizer...

Parameter Golf was a large-scale research event with over 1,000 participants exploring AI-assisted machine learning...

Sakana AI and NVIDIA researchers demonstrated that L1 regularization can achieve over 99% sparsity in LLM feedforward...

A comprehensive guide comparing nine leading vector database systems used as core infrastructure for RAG and agentic AI...

This tutorial demonstrates an advanced single-cell RNA-seq analysis workflow using Scanpy on the PBMC-3k dataset,...

Five key figures across the AI supply chain gathered at the Milken Global Conference to discuss critical challenges in...

MIT economists found US companies tend to target employees earning a “wage premium,” which increases inequality but not...

A new study reveals that using AI assistants for even brief periods can negatively impact cognitive abilities and...
Assistant Professor Gabriele Farina conducts research on strategic decision-making in multi-agent scenarios, exploring...

The article explains how momentum optimization improves gradient descent by reducing oscillations and speeding up...

Zyphra introduces Tensor and Sequence Parallelism (TSP), a hardware-aware training and inference strategy that combines...