The Problem of Governance in Distributed Ledger Technologies - Professor Vili Lehdonvirta, OII
Explore governance challenges in distributed ledger technologies, examining economic organization, cooperation problems, and solutions through the lens of Bitcoin's development and debates.
Markov Decision Processes
Explore Markov Decision Processes, their components, and applications in inventory management. Learn about rewards, discounting, and Bellman's equation for optimal decision-making.
Overly Optimistic Prediction Results on Imbalanced Data - Flaws and Benefits of Over-sampling
Explore flaws and benefits of over-sampling in imbalanced datasets, examining prediction results and comparing studies to improve machine learning model performance.
Fraud Detection in Bitcoin Payment Networks
Explore fraud detection in Bitcoin networks using machine learning, covering techniques like deep learning and entity recognition for effective cryptocurrency security.
AI-Generating Algorithms - A Unique Opportunity
Explore AI-generating algorithms as a path to general AI, focusing on meta-learning architectures, learning algorithms, and effective environments. Discover unique opportunities for evolutionary RL research.
Why AI is Harder Than We Think
Explore AI's challenges and misconceptions with Melanie Mitchell, delving into fallacies, overconfident predictions, and the complexities of intelligence. Gain insights on creating more robust, general, and adaptable AI systems.
AI- From Algorithms to Ethics - ACM WomENcourage 2020
Explore AI agents designed for human interaction, combining machine learning, behavioral models, and game theory. Learn about applications in emergency triage and evaluation methodologies.
Desires and Diversions - Allen Newell's Retrospective on Scientific Pursuits
Explore Allen Newell's scientific journey, insights on problem-solving, and reflections on his groundbreaking work in artificial intelligence and cognitive psychology.
The Communication Complexity of Truthful vs Non-Truthful Combinatorial Auctions
Explore communication complexity in combinatorial auctions, comparing truthful and non-truthful mechanisms through theoretical analysis and proof techniques.
Software Engineering at Google
Explore Google's software engineering principles: time, scale, and tradeoffs. Learn sustainable practices for maintaining large codebases and managing change in long-term projects.
Face Detection with Python - Live Coding
Explore Python face detection models for age, race, emotion, and keypoints. Compare results and implement various techniques in this hands-on coding session.
Time Series Forecasting with XGBoost - Use Python and Machine Learning to Predict Energy Consumption
Learn to predict energy consumption using XGBoost and Python in this hands-on tutorial. Covers data preparation, feature engineering, model building, and forecasting techniques for time series analysis.
Multi-Agent Reinforcement Learning - Part II
Explore advanced concepts in multi-agent reinforcement learning, including equilibrium, rewards, and techniques like Q-value and no-regret learning. Gain insights into challenges and applications in AI and game theory.
The AI Economist- Improving Equality and Productivity with AI-Driven Tax Policies
Explore AI-driven tax policies for improved economic equality and productivity, featuring deep learning, reinforcement learning, and multi-agent simulations in a simplified economic model.
Multi-Agent Reinforcement Learning - Part I
Explore multi-agent reinforcement learning, covering game theory, interaction protocols, and Nash equilibrium. Gain insights into challenges and formulations in this emerging field.
Berkeley in the 80s - Manuel Blum's Contributions to Computing Theory
Explore Manuel Blum's groundbreaking research, advising philosophy, and insights on complexity theory, number theory, and consciousness in this engaging interview with the Turing Laureate.
Blockchain and Economics - Progress and Open Questions
Explore economic design in blockchain, focusing on performance incentives, market institutions, and governance in decentralized systems. Learn about applications and open questions in this emerging field.
Independent Learning Dynamics for Stochastic Games - Where Game Theory Meets
Explore independent learning dynamics in stochastic games, bridging game theory and reinforcement learning. Discover convergent algorithms for multi-agent scenarios in dynamic environments.
Ethics and Leadership in AI: Addressing Bias and Shaping the Future - 2020 NCSSM Conference Keynote
Explore AI ethics, bias, and societal impact with tech leader Phaedra Boinodiris. Gain insights on data privacy, future skills, and the role of education in shaping ethical AI development and implementation.
Machine Learning and Game Theory for Social Impact
Explore machine learning and game theory applications in security, sustainability, and food rescue, featuring real-world deployments and innovative solutions for societal challenges.
Learning and Persuading with Anecdotes - IPAM at UCLA
Explore learning and communication dynamics using anecdotal evidence, examining strategic behaviors, biases, and implications for opinion formation and collective intelligence.