Machine learning

2026 Conference on Physics and AI: Tanvi Wamorkar

2026 Conference on Physics and AI: Sogol Sanjaripour

2026 Conference on Physics and AI: Rose Yu

2026 Conference on Physics and AI: Mike Williams

2026 Conference on Physics and AI: Inbar Savoray

2026 Conference on Physics and AI: Filomela Gerou

How Machine Learning Improves Algorithms with Ellen Vitercik

Understanding Foundation Models - AI Engineering

MLT | Week-2 | Session-2

Physics-Constrained Agentic Training of Entropy-Stable PINNs || June 26, 2026

Las leyes de escala de Amodei

Amodei’s Scaling Laws

Voice Cloning: LoRA Fine-Tuning for Custom TTS

MLT | Week-2 | Session-1

AI Engineering -- Kickoff Session

Machines, Learning, and Machine Learning - Dylan Beattie - NDC Copenhagen 2026

He won a Nobel here for AlphaFold. Then he left. - John Jumper

MLT | Week-1 | Session-2

Thibaut Germain: Geometric Dictionary Learning of Dynamical Systems with Optimal Transport

MLT | Week-1 | Summary Session

Every Level of a Claude Second Brain Explained

Claude Code dans le terminal : ce que tout le monde rate

Claude Code in the Terminal: What Everyone Is Missing

The Future of Document Parsing

Systems A/B/M : Lessons on Autonomous Learning from Cognitive Science

Student/Postdoc lightning talks

[ИАД, 2026] Предзащита магистерских работ

[IAD, 2026] Pre-defense of master's theses

World Modeling: Evaluation and State Computation

Surface Data vs. Deep Data

From "Umwelt" to "World" models

Edward Lockhart - Why AI Needs Formal Mathematics

Daniel Barzilai - Some Very Old and Very New Problems in Learning Theory

Bogdan Georgiev - Agents and ML Algorithms in Mathematics

BEYOND CLASSICAL AI Quantum Machine Learning for Anomaly Detection Across Industries

AI is solving science's biggest problems — but has no idea why it's right | with Claire Malone

Tolga Birdal: Generalization at the Edge of Stability

I Made Opus 4.8 and Fable 5 Build the Same App (RAW RESULTS)

GLM 5.1 Coding LoRA Now BEATS Claude?! 🤯 | Local AI In-Depth REVIEW

Bridging the gap between Minds & Machines

Talk by Alison Gopnik (UC Berkeley)

[Machine Learning in Urdu/Hindi] 001- Introduction to Machine Learning -W1L2-HQ

Agentic AI: L4 Part 2, Adjusting model parameters