AI — Models & Research

The Self Improving Loop Is Real Now: AutoBots

Neural-Hybrid Correctors with Solver-in-the-loop in JAX

MLP Live session

Hybridization of Neural Networks and Numerical Solvers in JAX with Differentiable Physics

Finite-particles rates for drifting models

Caso real de video-avatares, PixelRAG, LLMs muy humanos

Real case of video avatars, PixelRAG, very human LLMs

Build NemoClaw Agents on Jetson | NVIDIA Jetson AI Lab

Stanford CS329A Self-Improving AI Agents | Part 9 | Future Research Areas

Stanford CS329A Self-Improving AI Agents | Part 7 | Self-Improvement and Deep Research Agents

Stanford CS329A Self-Improving AI Agents | Part 6 | Train Time Scaling/Scaling RL

Stanford CS329A Self-Improving AI Agents | Part 5 | Planning and Multi-Step Reasoning

Stanford CS329A Self-Improving AI Agents | Part 4 | Learning from Feedback with Tools/Code

Stanford CS329A Self-Improving AI Agents | Part 3 | Robust Verification

Stanford CS329A Self-Improving AI Agents | Part 2 | Test-Time Compute Scaling

Stanford CS329A Self-Improving AI Agents | Part 1 | Course Overview

New BEST AI video generator is here! Seedance 2.5 vs Minimax H3

Local AI is now STUPID FAST? DeepSeek V4.07 with DSPARK 🤯

Efficient Reinforcement Learning for Diffusion Models

Distributional Diffusion Models

ASTRA, la nouvelle IA d’OpenAI : beaucoup trop puissante (la fin de l’ère GPT) !

ASTRA, OpenAI's new AI: way too powerful (the end of the GPT era)!

Understanding AI Agent Hallucination in AI Systems

OpenAI's New AI ASTRA Is Total Overkill (Ends The GPT Era)

Architectures for an AI agent for route planning and Next-Latent Prediction

You Have to Try the New ChatGPT Voice!

QWEN 3.6 27B FABLE FUSION : Le Meilleur Modèle Open-Source du Moment ?

QWEN 3.6 27B FABLE FUSION: The Best Open-Source Model Right Now?

MLT | Week-7 | Solve with us-Decision Tree and K-NN

DeepSeek V4.07 - The NEW Ultimate LOCAL AI? Better than GLM & Claude?

Adobe BLOWS UP The Entire Creative Market With Latest Announcement!

A Chinese Open Model Just Hit the Frontier

Stanford CS229 Machine Learning | Spring 2026 | Lecture 9: K-Means and GMM (non-EM)

Stanford CS229 Machine Learning | Spring 2026 | Lecture 20: GMM (EM), PCA

Stanford CS229 Machine Learning | Spring 2026 | Lecture 18: GMM (EM), PCA

Stanford CS229 Machine Learning | Spring 2026 | Lecture 16: Basic Concept in RL, Policy Gradient

Stanford CS229 Machine Learning | Spring 2026 | Lecture 14: Transformers, In-Context Learning

Stanford CS229 Machine Learning | Spring 2026 | Lecture 13: LLMs, Next-Word Prediction Loss

Stanford CS229 Machine Learning | Spring 2026 | Lecture 12: Representation Learning

Stanford CS229 Machine Learning | Spring 2026 | Lecture 11: Diffusion Models

Stanford CS229 Machine Learning | Spring 2026 | Lecture 10: GMM (EM), PCA

NO MORE $20! Free AI Coding Agent with 100+ Models Setup

Neural Network-Based Estimation of Time-Dependent Parameters || July 31, 2026