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UID:2a4bff31-feff-4ad5-b453-bd9f84681564@support.access-ci.org
DTSTAMP:20251121T120650Z
DTSTART:20260210T190000Z
DTEND:20260210T200000Z
SUMMARY:Co-Designing Intelligent Cyberinfrastructure for Computing Continuu
 m: Overview of the Activities at the NSF-AI Institute ICICLE
DESCRIPTION:SummaryArtificial intelligence (AI) is transforming every secto
 r of society. However, there is a massive and ever-growing gap between ava
 ilable AI techniques and their availability to end users across a range of
  application domains. This talk will start with an overview of the ICICLE 
 (Intelligent CyberInfrastructure (CI) with Computational Learning in the E
 nvironment), an NSF-AI Institute, to address these challenges. We will dem
 onstrate how ICICLE seeks to be the first and foremost edge-to-center AI-a
 s-a-service enterprise for the emerging computing continuum, advancing fou
 ndational AI research by fostering next-gen CI for AI to support the whole
 some democratization of AI through responsible plug-and-play, and extendin
 g the usability and usefulness of AI to the wider population. An overview 
 of the co-designing activities at the institute spanning multiple directio
 ns, CI (high performance computing, networking), AI (statistical machine l
 earning, computer vision, knowledge graphs, model commons and conversation
 al AI), data privacy and trust, and three leading use-inspired sciences (A
 nimal Ecology, Digital Agriculture, and Smart Foodsheds) will be highlight
 ed. Overall, the talk will demonstrate the feasibility of co-designing int
 elligent CI for AI which can be easily adapted to various parts of the com
 puting continuum and serve multiple use-inspired domains.SpeakerDhabaleswa
 r K. (DK) Panda is a Professor and University Distinguished Scholar of Com
 puter Science and Engineering at the Ohio State University. He is serving 
 as the Director of the ICICLE NSF-AI Institute (https://icicle.ai). He has
  published over 500 papers. The MVAPICH MPI libraries, designed and develo
 ped by his research group (http://mvapich.cse.ohio-state.edu), are current
 ly being used by more than 3,475 organizations worldwide (in 93 countries)
 . More than 1.97 million downloads of this software have taken place from 
 the project's site. This software is empowering many clusters in the TOP50
 0 list. High-performance and scalable solutions for Deep Learning framewor
 ks and Machine Learning applications from his group are available from htt
 ps://hidl.cse.ohio-state.edu. Similarly, scalable, and high-performance so
 lutions for Big Data and Data science frameworks are available from https:
 //hibd.cse.ohio-state.edu. Prof. Panda is a Fellow of ACM and IEEE. He is 
 a recipient of the 2022 IEEE Charles Babbage Award and the 2024 IEEE TCPP 
 Outstanding Service and Contributions Award. More details about Prof. Pand
 a are available at http://www.cse.ohio-state.edu/~panda.See a complete lis
 t of SDSC's upcoming training and events here.
URL:https://support.access-ci.org/events/8710
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