AI — Models & Research

L'IA surpuissante : Nano Banana 2, Perplexity Computer et Claude Cowork

The superpowerful AI: Nano Banana 2, Perplexity Computer and Claude Cowork

Google's New Nano Banana 2 Breaks Reality

Gemini is Now the Best All-in-One AI & More AI Use Cases

Gemini 3.1 Pro Efficacité x 10 : installer cowork révolutionnaire !

Gemini 3.1 Pro + Desktop Commander: Revolutionary Cowork Automation!

AI News: AI's Biggest Stand Just Happened

[JC] Principles of Quantum Machine Learning and Multidisciplinary Applications of Hybrid QNNs

[Generative AI in Urdu/Hindi] Lecture 15: Methods of computing attention

Philipp Koehn: Multilingual Language Processing in 21 century: Lessons Learned and Challenges Ahead

No-code, IA et vibe-coding : Interview de Xavier Agapé, No-Code France

No-code, AI and vibe-coding: Interview with Xavier Agapé, No-Code France

MLT | Week-3 | Session-1

Leboncoin + ChatGPT : 7 cas d'usage concrets pour gagner du temps et de l'argent

Leboncoin + ChatGPT: 7 concrete use cases to save time and money

Le nouveau Mercury 2 pulvérise les limites de latence à 1 000 tokens/seconde (écrase les GPT)

The new Mercury 2 smashes latency limits at 1,000 tokens/second (crushes the GPTs)

Grok llega a Tesla, analizamos Grok 4.2 en vivo (Ep. 143)

Grok arrives at Tesla, we analyze Grok 4.2 live (Ep. 143)

Google Upgraded Nano Banana (Free and Super Fast)!

Ep. 199: AI Answers - Prompting AI, 2026 Job Disruption, AI Output Validation, & Preventing Burnout

Cette IA chinoise est 17x moins chère que GPT et Claude... et elle les BAT ?

This Chinese AI is 17x cheaper than GPT and Claude... and it BEATS them?

Beyond the Buzzwords: How Neural Networks Actually Learn

[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

Cet OUTIL fix enfin le FRONTEND avec l'IA (Kombai)

This TOOL finally fixes the FRONTEND with AI (Kombai)

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