AI — Models & Research

lec 21: Generative AI for Vision Tasks - II

lec 20: Generative AI for Vision Tasks - I

Lec 19: Sequence Modelling

Lec 18: LSTM

Lec 17: Training of RNN

Grokbot: la forma más fácil de crear agentes de IA

Grokbot: the easiest way to create AI agents

Qwen 3.8 - Local AI xHigh Thinking is SCARY 🤯

I Tested Meta Muse Glimmer 30B For 48 Hours: Here’s What Happened

New Deepseek, GLM 5.3, Grok 4.6, LTX 2.5, Qwen 3.8, Gemini 3.7: AI NEWS

I trained a Reasoning Language Model with RL on an unverifiable task

How to Help AI Do Your Work Better

Google vient de lancer Gemini 3.7 Flash : c’est bluffant !

Google has just launched Gemini 3.7 Flash: it's amazing!

Why AI Loves Em Dashes

The BEST local AI music generator is here!

Qwen 3.8 27B Ultimate Local AI? THE 1 MILLION TOKEN REVIEW 🧐

MLT | Week-7 & 8 | Revision Session

China Finally Beats MYTHOS 5 With New GLM 5.3 (Plus Anthropic's New Model 2)

10 Best Local Coding Models Right Now 2026

Todo lo que tienes que saber sobre la marca de agua de Claude

Everything you need to know about Claude's watermark

MLP Live session (13-08-2026)

Literally Everything About How Neural Networks Learn Explained Slowly (For Sleep)

Lec 28: Efficient LLM fine-tuning using peft and LoRA

Lec 27: Transfer learning for large models

Lec 24: LLM Foundation and terminology

L'IA vient de devenir gratuite (et personne n'en parle)

AI just became free (and no one is talking about it)

Google Just Dropped Gemini 3.7 Flash and It's Shockingly Impressive

Dr. Gareth Conduit | Unveil the unseen: uncover hidden information in concrete with machine learning

Digital twins modeling via conditional generative models || Aug 14, 2026

Claude is watermarking AI text: Everything you need to know

ChatGPT Can Now See Everything You Do On Your Screen

AI News: The AI Agent Race Just Exploded

Why Great Models Fail: Lessons From 9 Years of Deploying ML Models - Megan Robertson

Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 19: Model-Based RL

Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 18: RL Policy Optimization

Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 17: RL Value-Based Methods

Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 16: Fundamentals of RL

Stanford AA203 Optimal and Learning-Based Control | Spring 2026 | Lecture 15: Imitation Learning

Prof. John Harlim | Learning solution operator of dynamical systems with diffusion maps kernel ri...

Prof. Gitta Kutyniok | Beyond Scaling: Optimization and Learning for Sustainable AI

Neural Network Models for Acoustic Wave Scattering by Souryajit Roy