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Open Data Science Conference

AI is transforming business in unexpected and new ways every day. Join us at the Virtual and In-person AI Expo & Demo @ODSC West 2024 on October 29-30th to learn about the latest industry trends and stay up to date innovations.

This is a unique opportunity to access and interact with industry leaders from wherever you are in the world!

Email: iryna@odsc.com

Expo, AI, Data Science

Open Data Science Conference

This summit is co-located with ODSC West in the heart of Silicon Valley, brings together industry leaders and pioneers for two days of talks and panels on watershed technologies like Large Language Models, Generative AI, and more.

Email: iryna@odsc.com

AI, Data Science

Open Data Science Conference

Email: iryna@odsc.com

Data Science, Machine Learning, NLP, LLMs, LLama, Ollama

Institute for Pure and Applied Mathematics (IPAM), UCLA

This workshop will draw together researchers creating new algorithms and architectures (e.g., active symbol architectures, evolutionary programming approaches, neural program synthesis) with mathematicians and theoretical computer scientists who specialize in non-convex optimization, the theory of programming languages, type theory, proof theory, and category theory. It aims to promote cross-fertilization between these paradigms and more traditional approaches, while stimulating the development of rigorous foundations for evolutionary computing, program synthesis, and other naturalistic approaches to AI.

Part of the Long Program Mathematics of Intelligences

Neo4j Inc

NODES 2024 is a free online developer conference for anyone interested in knowledge graphs, AI, and intelligent applications. This skills-building event, which will run for 24 hours and include technical presentations by Neo4j and community experts, will have four tracks and 145+ sessions. Check out the agenda.

Community Manager;     Tel.: [408.315.2514];     Email: Yolande.Poirier@neo4j.com

Artificial Intelligence, Software, Machine learning, Graph, RAG, GraphRAG, Algorithms, Visualization, Application Development, Graph Database, Knowledge Graphs, Data Science

Computerprogramme,    Informations & Wissensmanagement, Big Data Computing

Institute for Pure and Applied Mathematics (IPAM), UCLA

This workshop will bring together leading experts in the mathematical modeling of collective intelligence. While the workshop will explore collective intelligence in many different systems, substrates (both natural and artificial), and scales, it will focus on three broadly applicable modeling frameworks: dynamical systems, which have been applied to systems as various as brains and insect swarms; statistical physics, which has illuminated the behavior of flocking birds and deep learning architectures; and game theory, which has been applied to animal, human, and AI collectives. The collective intelligence domain cultivates the further development of formal tools for treating compositionality; the emergence of new capacities and collective degrees of freedom at multiple scales; and the higher-level institutions that coordinate the intelligent behavior of lower-level parts.

Part of the Long Program Mathematics of Intelligences