Neural networks and fuzzy systems

MIT 6.S191: Convolutional Neural Networks

New AI Robot Is Starting to Feel Human (Artificial Humans Are Here)

Neural Networks lecture | Igor Farkaš | Introduction to Artificial Intelligence | How does AI work ?

Neural Pushforward Samplers || NN for Nonlinear Hyperbolic Conservation Laws|| Apr 10, 2026

MLP Live Session | Week 9

Forum Numerica - Elena AGLIARI - The many lives of the Hopfield model: from dreams to generalization

MLP Live Session Week 9

Claude Just Told Us to Stop Using Their Best Model

MIT 6.S191: Recurrent Neural Networks, Transformers, and Attention

Deep Learning 5 [Even Semester 2025/2026 Telyu] - Modern Convolutional Neural Network

Deep Learning 4 [Even Semester 2025/2026 Telyu] - Convolutional Neural Network

Suspicious Activity Detection Using deep learning LRCN (Part 3): Image Processing and building model

MLP Live session

Lorenzo Livi: Toward a Dynamical Theory of Deep Learning

They solved AI’s memory problem!

Francesco Cagnetta: Deep Networks Learn to Parse Context-Free Languages from Local Statistics

MLP Live session

LLM Compression Explained: Build Faster, Efficient AI Models

MIT Introduction to Deep Learning | 6.S191

Le nouveau robot IA chinois bluffe par son apparence humaine

The new Chinese AI robot amazes with its human appearance

China's New AI Robot Looks Shockingly Human

Stochastic PINNs solvers|| Multi-Resolution Independent Simulations for Turbulence || March 27, 2026

MLP Live session

Claude contrôle tout, contrôlez Claude !

Claude controls everything, control Claude!

How does AI actually work? Transformers explained

MLP Live session

Recurrent Neural Networks (RNNs) | LSTMs, GRUs, BPTT

PINNs for Blood Flow Simulation|| ZENN for Heterogeneous Data-Driven Modeling || March 20, 2026

MLP Live session

Generative AI L19: Transformers Intuition

Riverside Neural Operators | Emilio McAllister Fognini, FAI CDT

[ИАД, весна 2026] Математические методы анализа текстов. Лекция 6: RoPE, KV-Cache, MHA

[IAD, spring 2026] Mathematical methods of text analysis. Lecture 6: RoPE, KV-Cache, MHA

Generative AI L18: Cross-Attention in Encoder-Decoder Sequence Models

Deep Learning 3 [Even Semester 2025/2026 Telyu] - Deep Learning Computation

Physics-Informed Laplace Neural Operators || ML linear algebra algorithms || March 13, 2026

China’s New CENTAUR AI ROBOT Gives Humans Super Strength

QTML 2025: Scalable Neural Decoders for Practical Real-Time Quantum Error Connection

QTML 2025: Quantum Recurrent Embedding Neural Network

QTML 2025: Polynomial Speed-Up in Photonic Neural Networks via Adaptive State Injection

QTML 2025: Natural gradient for quantum Boltzmann machines