All current Conference Talks courses in 2024
731 Courses
Commodity.AI
Explore the potential commoditization of AI, its challenges, and implications for businesses. Learn about cloud AI services and strategies for AI startups in a competitive landscape.
Reinforcement Learning and Minecraft - ML Con Spring 2018
Explore reinforcement learning through Minecraft's AI platform, Project Malmo. Learn to solve problems using deep learning techniques in a unique experimental environment.
Gamified Control - China's Social Credit Systems
Explore China's Social Credit Systems: gamification, big data, and AI for behavior rating. Examine societal impacts and global implications of tech-driven social control.
Quick Start with AI for Businesses
Strategies for businesses to quickly adopt AI, focusing on data collection, management involvement, and model capabilities. Proposes an embedded approach for efficient implementation and scaling.
Boost Your App with Machine Learning APIs
Discover how to enhance your app using pre-trained Machine Learning APIs for text, image, audio, and video analysis, with a live interactive demo showcasing practical applications.
How do Chess Engines Work - Looking at Stockfish and AlphaZero
Explore chess AI evolution: from Deep Blue's algorithms to Stockfish's Minimax, and AlphaZero's revolutionary self-learning approach using Monte Carlo Tree Search and neural networks.
Reinforcement Learning - A Gentle Introduction and Industrial Application
Explore reinforcement learning's principles and real-world application in siphonic roof drainage systems, reducing fail rates by 70% for large buildings during heavy rainfall.
How to Implement Chatbots in an Industrial Context
Explore industrial chatbot implementation: design principles, architecture, ML algorithms, testing challenges, and continuous improvement strategies. Includes live demonstration of ThoughtWorks' chatbot.
The More Data, the Better the AI, Isn't It?
Exploring data quality challenges in AI and deep learning, with insights on maintaining high-quality datasets for optimal algorithm performance in document data extraction.
How We Used Reinforcement Learning to Solve the Abbey of Crime
Explore how AI and reinforcement learning were used to conquer the challenging 1987 RPG "Abbey of Crime," overcoming its complexity within 120k of data to complete the game autonomously.