AI — Models & Research

[ИАД, весна 2026] Введение в машинное обучение. Лекция 3: Нейронные сети

[IAD, Spring 2026] Introduction to Machine Learning. Lecture 3: Neural Networks

Yuanchao Xu:Generative Modeling through Koopman Spectral Analysis: An Operator-Theoretic Perspective

Wei Huang: Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression

Victor Churchill: Efficient Data-Driven Modeling of PDEs: Partially-Observed Flow Map Learning

Tuca Auffinger - Open Mathematical Problems in Manifold Learning for Single-Cell Data - IPAM at UCLA

Soon Hoe Lim: On the Potential and Pitfalls of Flow Matching for Probabilistic Forecasting

Renier Mendoza: Image reconstruction in electrical impedance tomography using deep neural networks

Reinforcement Learning 2026 - Session 2

Reinforcement Learning 2026 - Session 1

Pantelis Vlachas: Hypernetworks for Adaptive and Generalizable Forecasting in Dynamical Systems

New Mercury 2 Breaks The Latency Wall At 1k Tokens per Second (Destroys GPTs)

Masanobu Horie: Structure-Preserving Graph Neural Networks: Enforcing Symmetry and Conservation Laws

Luca Galimberti: Infinite-dimensional Deep Learning methods for Finance

LLM-as-a-Judge: Automating and Scaling Generative AI Evaluations in Medicine

Krishnan Raghavan: The role of architecture in learning a continuum of task

Keynote: AI-Powered App Development - Steve Sanderson - NDC London 2026

James Murray Louw: Stability in learning the climate of dynamical systems with state space systems

I Can Actually Watch My AI Agents Work Now

Florian Rossmannek: Echo states and fading memory in state-space systems

Deepseek Sparse Attention

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

10 Tips To Level Up Your AI-Assisted Coding - Aleksander Stensby - NDC London 2026

Wei Kang: Deep Learning for Data Assimilation

Tobias Sutter: Towards Optimal Offline Reinforcement Learning

MLP Live session | Week 3

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

Les meilleures images IA - Gratuit & Illimité avec Arena.ai

The best AI images - Free & Unlimited with Arena.ai

Comprendre la logique du prompt système

Understanding the logic of the system prompt

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

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

Benjamin Charles Walker: Linear Neural Controlled Differential Equations

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

OpenAI Releasing AI Speaker with Vision (CONFIRMED)

Masanobu Inubushi: Reservoir computing with generalized readout based on generalized synchronization

From Zero to Your First Agentic AI Workflow in 26 Minutes (Claude Code)

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

🚨 NOTICIAS IA 🚨: Google lanza Gemini 3.1 y es el nuevo Rey de la IA 🤖🔥

🚨 AI NEWS 🚨: Google launches Gemini 3.1 and it's the new King of AI 🤖🔥

Grok 4.2 est intelligent … mais genre SUPER INTELLIGENT !

Grok 4.2 is smart … but like SUPER SMART!