Machine learning

Boumediene Hamzi: Toward an Algorithmic Theory of Machine Learning via Kernel Methods

Tobias Sutter: Towards Optimal Offline Reinforcement Learning

Lin Wan: Learning collective multicellular dynamics with an interacting mean field neural SDE model

Comment créer votre PREMIER agent IA en 2026 (sans coder)

How to create your FIRST AI agent in 2026 (without coding)

A Hitchhiker’s Guide to the World of LLM Fine-Tuning: ADIA Lab Seminar with Praneeth Vepakomma

[ИАД, весна 2026] Рекомендательные системы. Лекция 1

[IAD, Spring 2026] Recommender Systems. Lecture 1

[ИАД, весна 2026] Математические методы прогнозирования II. Лекция 1

[IAD, spring 2026] Mathematical methods of forecasting II. Lecture 1

Ying-Cheng Lai: Unsupervised learning for anticipating critical transitions

Daniel Lathrop: Using nonlinear dynamics for low-power high-speed machine learning electronics

Andrew Wilson: Epiplexity: A Measure of Structural Information Content for OOD Generalization

Vous utilisez l'IA mais vous ne gagnez pas de temps ? Je vous montre comment changer ça

Are you using AI but not saving time? I'll show you how to change that.

Why Muon Is Good but May Not Be Optimal || Feb 20, 2026

MLT | Week-2 | Session-1

ML System Design: From Prototype to Production

ELLIS Distinguished Lecture: Hatice Gunes

[ИАД, весна 2026] Введение в машинное обучение. Лекция 2: Градиентная оптимизация и линейные модели

[IAD, spring 2026] Introduction to Machine Learning. Lecture 2: Gradient optimization and linear models

Tutorial: Incentives for Collaborative Learning and Data Sharing, Part II

MLT | Week-1 | Session-2

Enyata x Interswitch Buildathon AMA (ML Lagos)

Claude 4.6 l'AI apprend seule ! Convertis Chrome en assistant automatisé!

New Claude 4.6 Chrome Extension: AI Learns on Its Own!

GLM-5 DÉTRUIT Claude Opus 4.6 : ce modèle CHINOIS est FOU 🚀

GLM-5 DESTROYS Claude Opus 4.6: This CHINESE model is CRAZY 🚀

[ИАД, весна 2026] Введение в машинное обучение. Лекция 1: Научный метод и основы машинного обучения

[IAD, spring 2026] Introduction to Machine Learning. Lecture 1: Scientific Method and Foundations of Machine Learning

SaaSpocalypse, Large Tabular Model, RLVR en dominios abiertos

SaaSpocalypse, Large Tabular Model, RLVR on open domains

MLP Live session Week1

Une IA vient de créer son propre moteur de deep learning... et ça fonctionne vraiment

An AI has just created its own deep learning engine... and it really works

AI Just Built Its Own Deep Learning Engine… And It Actually Works

Leveraging AI Knowledge Distillation for Deployable Cybersecurity Defense Systems by Mahdi Rabbani

Let’s Stop Leaving Money on the Table | Richard M. Karp Distinguished Lecture

AlphaMissense: predicción del impacto funcional de mutaciones missense en proteínas mediante IA

AlphaMissense: Predicting the functional impact of missense mutations in proteins using AI

MLT workshop - Day 5

Claude Code : le guide complet pour les non-devs

Claude Code: The Complete Guide for Non-Developers

[JC] Machine Learning Interatomic Potentials

Qing Qu - Understanding Generalization of Deep Generative Models based on Low-dimensional Structures

[Generative AI in Urdu/Hindi] Lecture 8: Embeddings: maths, negative sampling, best practices, bias

Cai Zhou: Coevolutionary Continuous Discrete DLMs, Semantic Scale Prediction via Hierarchical DLMs

Let's train Vision Language Models (VLM) from scratch using just Text-Only LLMs!

[Generative AI in Urdu/Hindi] Lecture 7: Embeddings (cont.) - Word2vec, Skipgram, CBOW

MLT workshop Jan 26 - Day 2

Workshop Day 1 - Jan 2026

Chinas New AI Kimi K2.5 Shocks DeepSeek and Silicon Valley Labs