Machine Learning Applications in Cosmology - Past, Present, and Future
Explore the evolution and impact of machine learning in cosmological research, from historical applications to cutting-edge developments and future possibilities in astronomical studies.
The Future of Human-Computer Interaction - Opening Keynote UIST 2024
Discover groundbreaking insights into user interface technology and software development through Prof. Raj Reddy's keynote address at the 37th ACM Symposium on User Interface Software and Technology.
The Unfinished Epic of Discrete Tomography
Delve into the mathematical foundations of discrete tomography through an engaging exploration of its ongoing challenges and theoretical developments in modern computational geometry.
Building Adaptive Multi-Agent AI Systems: From Theory to Implementation
Explore adaptive multi-agent AI systems through reinforcement learning, examining how agents navigate dynamic physical and social environments while developing cooperative strategies and decision-making capabilities.
How Generative AI Powers the Next Generation of Mercari Marketplace
Discover how Mercari leverages GenAI to enhance its C2C marketplace, from streamlining item listings to improving search relevance and product recommendations through advanced ML engineering techniques.
Generative AI for Multimodal Biomedicine
Explore groundbreaking developments in multimodal biomedicine AI, including GigaPath, OCTCube, and BiomedParse foundation models, and their potential impact on advancing medical applications through multi-agent frameworks.
AI Consciousness - Notes from a Logician's Perspective
Explore logical self-reflection in AI systems through the LogiKEy framework, examining how logical formalisms can analyze their own consistency using nested embeddings in higher-order logic.
Diffusion Models - Lecture 18
Dive into the fundamentals of diffusion models with MIT Prof. Song Han, exploring their architecture, principles, and applications in machine learning and AI generation.
Diffusion Models - Lecture 18
Dive into the fundamentals of diffusion models, exploring their architecture, principles, and applications in machine learning through expert guidance from MIT's Professor Song Han.
Building Applications with RAG and LangChain on Google Cloud
Master building AI applications with RAG and LangChain on Google Cloud. Follow a hands-on demonstration of indexing data, creating a web interface, and deploying solutions for enhanced AI response accuracy.
Towards Compositional Interpretability for XAI
Explore a mathematical framework using category theory and string diagrams to understand AI model interpretability, focusing on compositional structures and their explainability benefits in neural networks and transformers.
Compositional Approaches to Modelling Language and Concepts
Explore the integration of compositional and neural approaches in language modeling, examining their strengths, limitations, and potential for improving AI systems' performance and interpretability.
Non-Neural Intelligence: Biological Architecture Problem-Solving in Diverse Spaces
Explore biological intelligence beyond neural systems, examining how cells, tissues, and subcellular components demonstrate problem-solving abilities and collective decision-making across different scales.
Learning Libraries of Programmatic Policies
Discover how artificial agents can learn and maintain libraries of reusable behaviors for solving sequential decision-making problems through programming and neural network approaches.
Program Synthesis: Applications, Experiences, and Neuro-Symbolic Techniques
Explore program synthesis applications across spreadsheets, development, and education, discovering how user intent combines with neuro-symbolic techniques and LLMs for enhanced automated solutions.
Probabilistic Thinking in Language and Code
Explore the intersection of Bayesian models and LLMs, examining how natural and programming languages serve as languages-of-thought for human-like cognitive representations and reasoning.
Equilibrium is Inference - Lessons from Liquid-Liquid Phase Separation Models
Delve into the relationship between equilibrium systems and information processing, exploring neural computation models and their applications in molecular systems and phase separation dynamics.
Abstraction and Evolution with Large Language Models
Explore how large language models enhance genetic programming through concept-guided evolution, with applications in symbolic regression and image classification demonstrated through practical examples.
Adversarial Intelligence in Natural and Artificial Systems
Explore the dynamics of adversarial intelligence through genetic programming and coevolutionary algorithms, focusing on designing competitive AI agents and simulating strategic rivalries.
MLOps MLFlow - Integración con LlamaIndex en Español
Descubre cómo integrar LlamaIndex con MLFlow y OpenAI, explorando el seguimiento y gestión de modelos de lenguaje mediante la función Traces para optimizar tus proyectos de MLOps.
MLOps MLFlow - Integration with LlamaIndex
Discover how to integrate MLFlow with LlamaIndex, leveraging OpenAI models and exploring MLflow traces for enhanced machine learning operations and tracking.