To help clarify the vision of the AIVO expansion program International Engagement Support Program and help Institutes identify how this funding support might advance their work, Ryan Burns is hostingContinue reading "IESP webinar"
Machine learning and AI are used broadly in science and engineering, with a tremendous diversity of architectures and algorithms being developed across disciplines and applications. The AI Institute in DynamicContinue reading "Workshop: Common Task Framework for Science and Engineering"
Join AgAID for a three-part seminar series delving into public perception and engagement with evolving AI technology. In this seminar series, Science Communication Specialist, Dr. Alex Kirkpatrick, will address challenges,Continue reading "AgAID Seminar Series: Strategic Science Communication & Artificial Intelligence"
Tune into The Institute for Learning-enabled Optimization at Scale (TILOS)'s webinar on AI Ethics in Research. Attendees will learn frameworks for integrating ethics into AI development, strategies for measuring biasContinue reading "TILOS webinar on AI Ethics in Research – Friday 3/8 at 12:00 p.m. PST"
AAAI 2024 Spring Symposium Series will be hosted at Stanford University on March 25-27, 2024 as part of the Association for the Advancement of Artificial Intelligence (AAAI) conference. The conferenceContinue reading "AAAI 2024 Spring Symposium Series"
We invite you to join us for a joint ICICLE & OSU CSE Distinguished Seminar Series on Thursday, May 9 at Noon, EST featuring Prof. B.S Manjunath from the UniversityContinue reading "ICICLE & OSU CSE Distinguished Seminar Series"
Join us for our ongoing Data-Driven Science & Engineering Seminar Series organized by the AI Institute in Dynamic Systems. Visit our website to sign up for the seminar mailing listContinue reading "Dynamics AI: Data-Driven Science & Engineering Seminar Series"
The ICICLE Seminar Series is happy to announce the next set of speakers for June 13th, 2024: Professor Laura Schmidt from UCSF and Dr. Amarnath Gupta from the San DiegoContinue reading "ICICLE Seminar Series featuring Professor Laura Schmidt and Dr. Amarnath Gupta"
Physics-informed Machine Learning (ML) continues to emerge as a leading paradigm integrating artificial intelligence (AI) with engineering dynamic systems. This approach provides new capabilities in real-time sensing, learning, decision-making, andContinue reading "Workshop | Machine Learning for Science & Engineering"
Join this Zoom webinar to hear from senior leadership in the U.S. Department of Education about their newly released document, "Designing for Education with Artificial Intelligence: An Essential Guide forContinue reading "Responsible AI in Education: Release and Discussion of the Department of Education’s New Guide for Developers"
