AI — Models & Research

OpenAI Just Released Their Best Model Ever (GPT 5.2)

MLP Live session week 11

Mark Dredze: Machine Learning

L8 Feature Scaling, Regularization Ridge, Lasso, ElasticNET, and Early Stopping

Hal Daume: Domain Adaptation in Natural Language Processing

GPT-5.2 is Here

GPT 5.2 : LE TEST ULTIME ! Tout ce que tu DOIS savoir 🔥

GPT 5.2: THE ULTIMATE TEST! Everything you NEED to know 🔥

Getting Started with Edge AI on NVIDIA Jetson: LLMs, VLMs, and Foundation Models for Robotics

Gemini se come a la Web: De buscador a Agente total

Gemini 3 Deep Think Reviewed & More AI Use Cases

Francesco Martinuzzi: Learning Single and Multiple Chaotic Systems with Minimal Reservoir Computing

Forum Numerica - Benoit Cottereau - Robust Scene Understanding with Bio-Inspired and Efficient AI

David Mumford: Modeling Shape Computer Vision Meets the Euler Equation

Daphne Koller: Probabilistic Models of Relational Domains

Daniel Povey: UBM based Acoustic Modeling for ASR

Daniel Povey: Old and New Work in Discriminative Training of Acoustic Models

Andrew McCallum: Information Extraction from the World Wide Web Using Finite State Models and Sco...

AI NEWS: GPT-5.2 Is HERE! (Plus Runway 4.5 and the Next Image AI Leaks)

The arrival of AGI | Shane Legg (co-founder of DeepMind)

NotebookLM, la app con IA de Google para aprender lo que sea

NotebookLM, Google's AI app to learn anything

MLT - Week 11

How to Predict the Future with AI, One Word at a Time - CS50 Seminars

Gemini se come a la Web: De buscador a Agente total

Gemini eats the Web: From search engine to total Agent

Gemini 3: Die Grenzen des Hype-LLM | AI Talk #56

Gemini 3: The Limits of the Hype LLM | AI Talk #56

Comment s'entraîne une intelligence artificielle ? - Formation Découverte de l'IA

How is artificial intelligence trained? - Introduction to AI Training

Building Faster and Smarter AI Systems with Nemotron

5 000 Prompts Gemini 3 Analysés – Ce Que Nous Avons Découvert

I Tested 5,000 Gemini 3 Prompts – Here is the perfect prompt!

Ventajas de IBM Small Models, AI motores y caballos, Cuestionando la cross-entropy

Advantages of IBM Small Models, AI motors and horses, Questioning cross-entropy

Let's Run Devstral-2 123B & 24B - France's LOCAL Coding AI REVIEW

From literature review to Graphical Abstract using AI tool Scispace BioMedical agent

10 AI Projects to Learn Gemini 3, Nano Banana and Opus 4.5

Stanford CME295 Transformers & LLMs | Autumn 2025 | Lecture 9 - Recap & Current Trends

Natalie Jeremijenko: Some adventures in the use of speech recognition in smart products

Kilian Weinberger: Learning with Marginalized Corrupted Features

Ep.# 184: OpenAI “Code Red,” Gemini 3 Deep Think, Recursive Self-Improvement, & ChatGPT Ads,

Donald Geman: A Stochastic Feedback Model for Image Retrieval

[ИАД, осень 2025] Методы глубокого обучения. Лекция 12: Multimodality, CLIP, BLIP, LLaVA

[IAD, fall 2025] Deep Learning Methods. Lecture 12: Multimodality, CLIP, BLIP, LLaVA

Un nouveau modèle monde IA fait son apparition !

A new world AI model makes its appearance!

Targeted Unlearning with Single Layer Unlearning Gradient

Stanford CS224R Deep Reinforcement Learning | Spring 2025 | Lecture 3: Policy Gradients