Applications of Deep Learning in Digital Pathology and Embryology - CGSI 2023
Explore deep learning applications in digital pathology and embryology, focusing on AI-driven blastocyst ploidy prediction and tumor purity assessment from H&E slides.
Revisiting Out-of-Distribution Generalization
Explore out-of-distribution generalization in machine learning, focusing on nuisance-induced spurious correlations and strategies for robust model performance across diverse datasets.
Neural Networks in System Models: Applications and Examples
Explore data-driven physical modeling with neural networks in system models, unlocking new applications and connections.
A Computational Study of the Internal Structure of Historical Papers - Leonardo da Vinci's Notebooks
Explore computational techniques to analyze Leonardo da Vinci's manuscripts, revealing hidden structural features and enhancing understanding of their origin, sequence, and chronology.
Computational Conversations: Why Are People Afraid of the Big Bad AI? - Episode 2
Explore the real issues and unfounded fears surrounding AI, separating fact from fiction in this thought-provoking discussion on artificial intelligence's future.
Computational Conversations - How AI, Machine Learning, and LLMs Relate
Explore the interconnections between AI, machine learning, and LLMs, distinguishing hype from reality and uncovering new possibilities in computational intelligence.
Computational Tools for Blockchain Forensics
Harness Wolfram Language for blockchain analysis, forensics, and visualization. Learn to read and write transactions, explore FTX token case study, and integrate with ChatGPT.
What Is ChatGPT Doing and Why Does It Work? - Episode 6
Explore the inner workings of ChatGPT and large language models, from word embedding to sentence generation, with insights on vector representation and randomness in AI-generated text.
What Is ChatGPT Doing? Training Neural Networks - Episode 4
Explore the inner workings of ChatGPT and large language models, covering neural network training, fine-tuning, reinforcement learning, and parameter optimization in this insightful discussion.
Understanding ChatGPT and Neural Networks for Human-Like Tasks
Explore the inner workings of ChatGPT and large language models, delving into neural networks, model fitting, and machine learning techniques for human-like tasks.
What Is ChatGPT Doing? Understanding Large Language Models - Episode 2
Explore the inner workings of ChatGPT and large language models, understanding their token-by-token generation process and the complexities behind their seemingly intelligent outputs.
Computational Analysis of Liver Whole Slide Images Empowers Genomic Analyses of Historical Traits
Explore computational analysis of liver whole slide images to enhance genomic studies of historical traits. Learn advanced techniques for quantifying histologic features in non-alcoholic steatohepatitis.
What is ChatGPT Doing and Why Does it Work?
Explore ChatGPT's inner workings and functionality in this unscripted AMA session with Stephen Wolfram. Gain insights into AI language models and their impact on technology.
Machine Learning Automation: The Next Generation
Explore cutting-edge advancements in machine learning automation and discover the future of AI technology with Wolfram's innovative approach.
Train a Production-Level Image Classifier
Learn to build a robust image classifier using advanced techniques like data augmentation, transfer learning, and learning rate scheduling.
What Is ChatGPT Doing and Why Does It Work?
Explore the inner workings and underlying principles of ChatGPT, delving into its functionality and effectiveness in natural language processing and generation.
Exploring Molecular Space and Active Learning in Drug Discovery
Explore molecular space and active learning techniques for drug discovery with AI pioneer Yoshua Bengio's insights from the 2024 ML Summer School at Mila.
Lab 3 - De Novo Generation Explanation
Explore de novo molecule generation techniques with experts Emmanuel Bengio and Julien Roy in this recorded session from the 2024 Machine Learning for Drug Discovery Summer School.
Learning ML Interatomic Potentials - Day 2
Explore ML interatomic potentials for drug discovery with expert Gianni De Fabritiis. Gain insights into advanced techniques and applications in computational chemistry.
LLMs in Drug Discovery - Day 5
Explore the application of Large Language Models in drug discovery, focusing on innovative approaches and potential breakthroughs in pharmaceutical research.
Harnessing Geometric ML for Molecular Design - Day 3
Explore geometric machine learning techniques for innovative molecular design in drug discovery with expert Michael Bronstein.