Neural networks and fuzzy systems

Andrea Montanari: The Phase Diagram of 2-Layer Neural Networks (September 24, 2026)

MLP Live session

REGULARIZATION IN NEURAL NETWORK | DEEP LEARNING | LECTURE 04 BY DR. JAISHREE JAIN | AKGEC

CONVOLUTIONAL NEURAL NETWORK | DEEP LEARNING | LECTURE 03 BY DR. JAISHREE JAIN | AKGEC

Steering LLMs - Why neuron L23-N8799 turns Qwen absolutely evil (and how to find it)

MLP Live session

Formation avancée à l’IA | DNN | Régression linéaire

DNN 1 Linear Regression

Formation avancée à l’IA | DNN | L'histoire de l'activation et de la non-linéarité

DNN 7

Formation avancée à l’IA | DNN | L'art de la descente d'un paysage de Loss

DNN 5

Formation avancée à l’IA | DNN | De 1 à N neurones

DNN 3 Going from 1 to n neurons

Formation avancée à l’IA | DNN | Au cœur de l'apprentissage d'un réseau de neurones

DNN 6

Dominant Aligned Subspace Analysis on PINNs || Feature Tracking in PINNs || Oct 30, 2026

Zhiqin Xu: Understanding reasoning of LLM via condensation

LLM Inference Optimization - AI Engineering

PINNs with Entropy-Stable Finite-Volume Solvers || Processing Language || Oct 23, 2026

Quantum-Assisted PINNs for Real-Time Orbit Prediction | Jay Shah Senior QML Researcher, BQP

Do you Really Need a VLM?

This New Huawei NPU Is DESTROYING the Entire Tech Industry!

Weak and Entropy Physics-Informed Neural Networks || Oct 16, 2026

The Science of Reverse Engineering Neural Networks | Mechanistic Interpretability

Deep Learning 4 [Odd Semester 2026/2027 Telyu] - Deep Learning Computation & Foundations

MLP Live session

Redes neuronales evolutivas, Reflection Beam, Enjambres y leyes de escala

Evolutionary neural networks, Reflection Beam, Swarms and scaling laws

MLP Live session

Deep Learning 3 [Odd Semester 2026/2027 Telyu] - Foundation of Deep Learning

Master Deep Learning in 6 Days: Day 5 - Overfitting, Early Stopping, Dropout, BatchNorm, Callbacks.

Lec 37: Vision Language Models

Live coding Jev from Scratch | Understanding Qwen architecture

How Deep Learning Finally Cracked Messy Tables - Frank Hutter

DeepSeek just solved LLM inferencing (again)

DeepSeek Just Shrunk the KV Cache 437×

Deep Learning 1 [Odd Semester 2026/2027 Telyu] - Introduction to Deep Learning

Koji Hashimoto - On the interpretability of neural network solutions of PDEs in theoretical physics

Master Deep Learning in 6 Days: Day 3 - Activation Function, Regression & Classification MLPNN,Keras

Paul Riechers - The shape of beliefs and abstraction in neural networks - IPAM at UCLA

Yusu Wang - Neural Network Generalization through an algorithmic lens - IPAM at UCLA

The End of VRAM-Bottlenecked LLMs: Qwen3.8-Flash-Next

Let me explain Looped Transformers to you

Max Tegmark - Neural network interpretability: symmetry, geometry and formal verification

Mayank Jobanputra: Born a Transformer, Always a Transformer? On the Effect of Pretraining