AI — Models & Research

GPT-5.2 is a total monster

ChatGPT NEW Image 1.5 is Finally Here! (Nano Banana Comparison)

AI’s Models of the World, and Ours | Theoretically Speaking

[ИАД, осень 2025] Методы глубокого обучения. Занятие 13: Acceleration, KV-Cache, Flash Attention

[IAD, fall 2025] Deep learning methods. Class 13: Acceleration, KV-Cache, Flash Attention

Stanford CS230 | Autumn 2025 | Lecture 10: What’s Going On Inside My Model?

MLT - Week 11, 12 SWU

L10 Nonlinear & Multiclass Classification

GPT 5.2, Mistral, Gemini, les réseaux, C'EST LE FEU !

GPT 5.2, Mistral, Gemini, the networks, IT'S ON FIRE!

Google Webinar | Risk Classification with LLMs

Generative AI In Chip Manufacturing

🚨 NOTICIAS IA 🚨: Esto es lo que me ha sorprendido de GPT-5.2 🔥🤯

🚨 AI NEWS 🚨: This is what has surprised me about GPT-5.2 🔥🤯

Tony Jebara: Discriminative Learning of Generative Models

Tong Zhang: Two Algorithms for Learning Sparse Representations

Titans: Learning to Memorize at Test Time (Paper Analysis)

Regina Barzilay: Learning to Model Text Structure

Philipp Koehn: "Advances in Statistical Machine Translation: Phrases, Noun Phrases and Beyond"

Lillian Lee: Only connect! Two explorations in using graphs for IR and NLP

Lawrence K. Saul: Distance Metric Learning for Large Margin Classification

Julia Hirschberg: Detecting Deceptive Speech

Jim Glass: Finding Acoustic Regularities in Speech From Words to Segments

Jason Eisner: Hidden Markov Models

Devenir 100% EXPERT : ChaGPT 5.2 ! Pourquoi TOUT a changé.

How I unlock GPT 5.2 to 100% with this method! It's INCREDIBLE!

Dale Schuurmans: Convex Training Algorithms for Hard Machine Learning Problems

Corinna Cortes: Rational Kernels: A General Machine Learning Framework for the Analysis of Text,...

Chin-Hui Lee: "Language-Universal Speech Modeling: What, Why, When and How"

Zohar Ringel - A Heuristic for Feature Learning and Sample Complexity (Heb)

The Mathematical Foundations of Intelligence [Professor Yi Ma]

MLT - Week 12

L9 Classification (Logistic Regression)

Ken Church: "Speech and Language Processing: Where have we been and where are we going"

Geoffrey E. Hinton: Deep learning with multiplicative interactions

Building Synthetic Data Pipelines for Open Research and Scalable AI Development

Ani Nenkova: Predicting sentence specificity, with applications to news summarization

Yann LeCun: Learning Hierarchies of Features

William Freeman: Motion Magnification and Motion Denoising

Tara Sainath: The Latest in DNN Research at IBM: DNN-based features, Low-Rank Matrices for Hybrid...

Slav Petrov: Fast, Accurate and Robust Multilingual Syntactic Analysis

PINN for Challenging Multiphase Flow Problems||Multi-Agent LLM for Intelligent Design ||Dec 12, 2025

Philip Resnik: Machine Translation Lecture II

Pascale Fung: Reducing Confusions and Ambiguities in Speech Translation