Tropical Solutions to Hard Problems in Auction Theory and Neural Networks - Lecture I
Explore tropical mathematics and its applications in neural networks, auction theory, and more. Learn about min-plus algebra, tropical objects, and polyhedral geometry to solve complex problems.
Implementing Intersectionality in Algorithmic Fairness - Keynote Panel I
Exploring approaches to implement intersectionality in algorithmic fairness, addressing hidden biases and unique experiences at the intersection of identities to promote equitable AI systems.
How Does a Pandemic Become a Story? - Analyzing COVID-19 Narratives
Explore how pandemic narratives form through digital humanities analysis of #COVID stories, examining patterns in social media content to understand cultural responses to global health crises.
Simulation of Cognitive Agents to Explore Occupants’ Wayfinding Experience in Future Buildings
Explore innovative pre-occupancy simulation tools for designing human-centered buildings, focusing on wayfinding behavior in complex urban structures using interdisciplinary approaches.
General State Channel Networks
Explore off-chain protocols and state channel networks as scalable solutions for cryptocurrencies, focusing on payment channels, smart contracts, and virtual state channels.
Why Does Human Intelligence Beat AI? - With Gerd Gigerenzer
Explore the limitations of AI and the superiority of human intelligence in decision-making, risk assessment, and adapting to uncertain situations with insights from cognitive scientist Gerd Gigerenzer.
AI and Artificially Enhanced Brains - With Susan Schneider
Exploring the philosophical and ethical implications of merging human brains with AI, including consciousness in robots, mind-machine interfaces, and the future of human intelligence.
Social Tokens for Creators - New Revenue Models and Fan Communities
Explore social tokens and NFTs as innovative tools for creators to build revenue streams and engaged fan communities, featuring insights from industry experts.
CMU Multilingual NLP - Information Extraction
Explore information extraction for low-resource languages and its application in disaster response through LORELEI project, with insights on methods, results, and practical implications.
TNT- How to Tweak a Block Cipher
Explore techniques for modifying block ciphers, focusing on security implications and performance enhancements in cryptographic algorithms.
IoT- Safety and Security of Human Digital Memories
Explore the safety and security challenges of human digital memories in the Internet of Things era, including data analytics, identity protection, and ethical considerations.
The Miner's Dilemma
Explores the game theory of cryptocurrency mining pools, analyzing strategies and equilibria when pools infiltrate each other, potentially leading to a tragedy of the commons scenario.
Did You Mix Me? Formally Verifying Verifiable Mix Nets in Electronic Voting
Explore formal verification of mix nets in electronic voting, focusing on cryptographic properties, software independence, and machine-checked proofs for enhanced security and transparency.
Multigroup Fairness - Polylogues
Explore key themes of multigroup fairness in algorithmic systems with Stanford's Omer Reingold, discussing statistical judgment validity and societal implications of AI decision-making.
Enabling LLM-Powered Applications with Harrison Chase of LangChain
Explore LangChain's mission to simplify LLM-powered app creation with CEO Harrison Chase. Discover its features, growth, community, use cases, and future predictions for AI development.
Google Bard - The Full Review - Bard vs Bing - LaMDA vs GPT 4
Comprehensive comparison of Google Bard and Bing AI, exploring their capabilities in web searches, language tasks, math, creativity, and more. Highlights strengths and weaknesses of both AI models.
Advances in Risk-Aware Multi-Armed Bandit Problems - Lecture 3
Explore risk-aware multi-armed bandit problems with Vincent Tan. Learn advanced techniques for balancing exploration and exploitation in uncertain decision-making scenarios.
Human-AI Interaction in the Age of Large Language Models
Explores LLMs' impact on human-AI interaction, focusing on computational social science and AI-assisted therapy. Demonstrates how LLMs can empower individuals and foster positive change.
On Localization in Language Models
Explore the role of individual components in language models, their characterization, and how analyzing internal structures can elucidate behavior in memorization, gender bias, and factual recall.
Language & Vision
Explore the intersection of language and vision in AI, covering deep networks, sampling-based planners, and multitasking models for advanced communication and perception.
The Power of Self-Learning Systems
Explore cutting-edge AI breakthroughs and their implications for scientific discovery with DeepMind's CEO. Learn about self-learning systems, game-changing algorithms, and applications beyond gaming.