AI — Models & Research

Hackathon 3 - ML‑Enhanced Analysis of EELS - Slautin

Hackathon 2 - Data curation and unsupervised analysis of the diffraction data - Houston

Day 5 - Reward Functions for Decision Making - Kalinin

Day 5 - Principles of Gaussian Processes and Bayesian Optimization - Kalinin

Day 5 - Deep Kernel Neural Learning and hAE - Kalinin

Day 4 - ML-based tuning and drift correction - Sgouralis

Day 4 - Introduction to Workflows in Machine Learning - Kalinin

Day 3 - VAE for Image and Spectrum Analysis - Kalinin

Day 3 - Machine Learning of Spectroscopic Datasets - Kalinin

Day 1 - Welcome And Introduction

Day 1 - Introduction to Neural Networks for Images - Heon

What ChatGPT Work Actually Does (and Why It's Confusing)

Post-Train NVIDIA Cosmos 3 In a Day with NVIDIA TAO Agent Skills | Cosmos Labs

New #1 open source AI model is here! Kimi K3

MLP Live session

MLP Live session

Lec 7: Neural Network Fundamentals

Le premier modèle d’IA de Mira Murati repose sur l’approche chinoise... Incroyable

Mira Murati's first AI model relies on the Chinese approach... Incredible

L'IA est hors de contrôle (cette semaine)

AI is out of control (this week)

Kimi K3 : la Chine vient de rattraper Fable 5

Kimi K3: China has just caught up to Fable 5

GPT 5.6 vs Grok 4.5: ¿Cuál es mejor? Te sorprenderá (Ep. 162)

GPT 5.6 vs. Grok 4.5: Which Is Better? You'll Be Surprised (Ep. 162)

Claude Code vs Cowork vs Claude tout court — Lequel pour quoi ?

Claude Code vs. Cowork vs. Claude — Which one to use for what?

The New ChatGPT Playbook & Prompting Guide

Pongo al Límite ChatGPT 5.6: ¿Hasta donde llega?

Pushing ChatGPT 5.6 to the Limit: How Far Does It Go?

How to Run RL Autoresearch with Agent Skills | Nemotron Labs

How to Prompt Claude and ChatGPT effectively | Good vs Bad examples

GLM y DeepSeek vs Opus: ¿son realmente mejores?

GLM and DeepSeek vs. Opus: Are they really better?

Forum Numerica - Giulia D’Angelo: What's catching your eye? - Event-driven sensing and neuromorphic

Forum Numerica - Giulia D’Angelo: What's catching your eye? - Event-driven sensing and neuromorphic

Alex Damian - Understanding Optimization in Deep Learning with Central Flows

Vanguard Prompt Optimization - Jim Masessa and Andrew Rozniakowski

Training incluyendo fracasos, Mano robótica de 1X, Oak Lab de Richard Sutton

Training including failures, 1X robotic hand, Richard Sutton's Oak Lab

Reinforcement Learning 2026 - Session 27

Reinforcement Learning 2026 - Session 27

Reinforcement Learning 2026 - Session 26

Reinforcement Learning 2026 - Session 26

Reinforcement Learning 2026 - Session 25

Reinforcement Learning 2026 - Session 25

Reinforcement Learning 2026 - Session 24

Reinforcement Learning 2026 - Session 24

Reinforcement Learning 2026 - Session 23

Reinforcement Learning 2026 - Session 23

Reinforcement Learning 2026 - Session 22

Reinforcement Learning 2026 - Session 22

Reinforcement Learning 2026 - Session 21

Reinforcement Learning 2026 - Session 21

MLP Live session

MLP Live session

Lec 3: Generative Vision Models

Lec 2: Generative Modelling