AI — Models & Research

Google’s New AI Just Broke Math… (Invented Its Own Algorithms)

Beyond the Hype: What AI Actually Can (and Can't) Do • Jodie Burchell & Michelle Frost • GOTO 2026

Pierre-Alexandre Mattei - Ensembles in machine learning: (simple) theory and (simple) practice

Le nouvel IA DuClaw de Chine rend OpenClaw instantané et inarrêtable

China's new DuClaw AI makes OpenClaw instant and unstoppable

[Generative AI in Urdu/Hindi] Lecture 20: Decoder, test-time inference, sampling methods, training

Primera práctica: ChatGPT, Gemini

First practice: ChatGPT, Gemini

Machine Learning 3 [Even Semester 2025/2026 Telyu] - Decision Tree & KNN

L'IA prépare tous mes RDV en 30 secondes (je vous montre comment)

AI prepares all my appointments in 30 seconds (I'll show you how)

Deep Learning 3 [Even Semester 2025/2026 Telyu] - Deep Learning Computation

China’s New DuClaw AI Just Made OpenClaw Instant and Unstoppable

[ИАД, весна 2026] Байесовский выбор моделей II. Лекция 3: Графические модели

[IAD, spring 2026] Bayesian model selection II. Lecture 3: Graphical models

When AI Discovers the Next Transformer — Robert Lange

Skills vs plugins Claude : la différence qui sépare les débutants des pros

Skills vs plugins Claude: the difference that separates beginners from pros

Physics-Informed Laplace Neural Operators || ML linear algebra algorithms || March 13, 2026

Lejepa, la receta maestra de Yann Lecun

LEJEPA, Yann LeCun's Master Recipe

Language AI in the Space Sciences: Day 4 - Session 7 - March 12, 2026

Kaggle Assignment Intro

Jochen Garcke - Introduction to Machine Learning for Science and Engineering - IPAM at UCLA

GPT-5.4 Full Breakdown & AI News You Can Use

Gemini 3.1 : Obtenez le diplôme Google Prompt Engineering, en 37 min!

Gemini 3.1: Get the Google Prompt Engineering Degree in 30 Min!

Claude vient de devenir CONSCIENT

Claude has just become CONSCIOUS

China’s New CENTAUR AI ROBOT Gives Humans Super Strength

Andrew Christlieb - An introduction to Scientific Machine Learning - IPAM at UCLA

AI News: They All Launched the Same Thing!

Agentic Coding: Wie Straion die Software-Entwicklung revolutioniert (ft. Katrin Freihofner)

Agentic Coding: How Straion Revolutionizes Software Development (ft. Katrin Freihofner)

[ИАД, весна 2026] Введение в машинное обучение. Лекция 5: Обучаемая векторизация данных

[IAD, spring 2026] Introduction to Machine Learning. Lecture 5: Trainable Data Vectorization

[Generative AI in Urdu/Hindi] Lecture 19: Types of attention, query key value matrix, encoder

QTML 2025: Testing and Verification for Quantum Learning

QTML 2025: Scalable quantum machine learning models in Fourier space

QTML 2025: Scalable Neural Decoders for Practical Real-Time Quantum Error Connection

QTML 2025: Quantum Recurrent Embedding Neural Network

QTML 2025: Polynomial Speed-Up in Photonic Neural Networks via Adaptive State Injection

QTML 2025: On The Cost Of Training (Adversarially-Robust) Quantum Models

QTML 2025: Natural gradient for quantum Boltzmann machines

QTML 2025: Learning Quantum States with Tunable Loss Functions

QTML 2025: Designing Quantum Machine Learning Models for Graphs

QTML 2025: Accelerating Inference for Multilayer Convolutional Neural Networks

QTML 2025: A Unified Theory of Quantum Neural Network Loss Landscape

QTML 2025: A PAC-Bayesian Approach To Generalization For Quantum models

QTML 2025: A Bit of Freedom Goes a Long Way: Quantum and Classical Algorithms