
Explore PyTorch for deep learning: implement neural networks, leverage GPU acceleration, and train convolutional models for digit recognition using efficient coding practices.

Explore NLP, LLMs, and GPT architecture. Build LLM solutions with Hugging Face and master prompt engineering in this hands-on workshop.

Explorez les dynamiques d'optimisation en très haute dimension et leur application en apprentissage automatique, en mettant l'accent sur les matrices aléatoires et les statistiques résumées.

Explorez les algorithmes d'optimisation en haute dimension pour l'apprentissage automatique, en mettant l'accent sur la descente de gradient stochastique et les transitions spectrales des matrices aléatoires.

Tutustu tekoälyn mahdollisuuksiin ja haasteisiin terveystietojen hyödyntämisessä. Syvenny asiantuntijoiden keskusteluun datan käytöstä, sääntelystä ja vaikutuksista tutkimukseen sekä terveydenhuoltoon.

Explore ethical considerations and practical applications of ChatGPT in research with insights from leading experts in AI and data science.

Explore cutting-edge computer vision research through live presentations of VinAI's seven accepted papers at the prestigious CVPR 2021 conference.

Explore cutting-edge deep learning research, including Bayesian methods, generative modeling, visual concept programming, conformal regression, and heteroskedastic regression analysis.

Explore machine learning's role in data compression, covering information theory, neural compression methods, and emerging challenges in probabilistic ML.

Explore multiplayer game algorithms, including MiniMax, Alpha-Beta pruning, and iterative deepening. Learn implementation techniques and apply concepts to Assignment 3 in this AI lecture.

Explore deep generative models, their applications, and underlying principles in this comprehensive introduction by Jes Frellen at the Nordic Probabilistic AI School.

Explore probabilistic circuits with Antonio Vergari, covering foundational concepts and advanced applications in AI and machine learning.

Explore probabilistic models, their applications, and fundamental concepts in this comprehensive introduction by Silja Renooij at the Nordic Probabilistic AI School.

Explore deep generative models with experts, covering fundamental concepts and advanced techniques in probabilistic AI. Gain insights into cutting-edge research and applications.

Discover how MemoVis leverages GenAI to revolutionize 3D design feedback through automated companion reference image generation, enhancing visual communication in design workflows.

Explore advanced techniques for enhancing AI-assisted data analysis through interactive methods and improved verification processes for more accurate analytical outcomes.

Explore how visual elements in AI-generated images impact users' sense of agency and attribution of creative authorship in digital art creation.

Discover groundbreaking wrist-worn radar technology that enables touch-based gestures on skin surfaces, revolutionizing human-computer interaction through proprioceptive sensing capabilities.

Explore innovative techniques for controlling style alignment in AI image generation through advanced style-strength methodologies and enhanced user interface controls.

Dive into advanced eye-tracking prediction using transformer-guided reinforcement learning to understand and model personalized visual attention patterns and scanpaths.

Explore innovative techniques for monitoring and guiding LLM agents during data analysis through real-time code visualization and conversational steering methods.