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X-WR-CALDESC:Events for Kahlert School of Computing
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DTSTART;TZID=America/Denver:20261005T103000
DTEND;TZID=America/Denver:20261005T113000
DTSTAMP:20260930T192447Z
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UID:113988-1791196200-1791199800@www.cs.utah.edu
SUMMARY:Challenges in Computing: An Industry Perspective
DESCRIPTION:Title: Challenges in Building AI Chips at Datacenter Scale \nSpeakers: Aravind Sukumaran-Rajam (with Joel Coburn\, remote) \n10:30-11:30am \n3147 MEB\, LCR \nAbstract \nMost discussion of AI accelerators focuses on architecture. Yet many of the hardest problems lie beyond the chip design itself. \nDesigning a chip takes years\, while the models and workloads it is intended to serve can change in months. Over that interval\, the bottleneck may shift from compute to memory bandwidth\, memory capacity\, or interconnect. A central challenge is making long-horizon bets: predicting the workloads that will matter when the silicon finally arrives –  deciding what to specialize and where to preserve flexibility. \nThe economics sharpen those decisions. An accelerator is designed end-to-end for the next frontier model and must then live in production for years to amortize its cost; yet it can become obsolete in a fraction of that time. And then there is everything that has nothing to do with the chip: you can win on paper and still lose in the rack\, because you cannot get the power\, or you cannot cool it. \nIn this talk\, we will discuss these topics based on Meta’s MTIA experience.
URL:https://www.cs.utah.edu/calendar/challenges-in-computing-an-industry-perspective/
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DTSTART;TZID=America/Denver:20261007T103000
DTEND;TZID=America/Denver:20261007T113000
DTSTAMP:20260923T202656Z
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UID:113881-1791369000-1791372600@www.cs.utah.edu
SUMMARY:Colloquium
DESCRIPTION:Danny Dig \nAssociate Professor \nUC Boulder \n  \nBuilding Trustworthy Agentic AI: Systems\, Research\, and a Vision for the Future \nAbstract\nGenerative AI and Large Language Models (LLMs) are rapidly transforming software engineering\, enabling AI agents to assist with increasingly complex development tasks. Yet a fundamental challenge remains: how can we trust AI systems that are known to hallucinate\, make reasoning errors\, and produce plausible—but incorrect—solutions? This talk presents our research on building trustworthy agentic AI by combining the creativity of LLMs with the rigor of static and dynamic program analysis\, formal constraints\, and meaningful human oversight. Rather than replacing software engineers\, these hybrid human-AI systems enable safer\, more transparent\, and more reliable automation of complex software engineering tasks. \nI will present several AI systems developed by our group for automated refactoring\, software modernization\, and large-scale code transformations\, along with empirical results demonstrating substantial improvements over existing approaches and successful adoption by major open-source projects. I will conclude by sharing a broader vision for trustworthy agentic AI and discuss opportunities for interdisciplinary collaboration as we work toward establishing a large-scale Center on Trustworthy and Responsible AI. \nBio\nDanny Dig is an Associate Professor of Computer Science at the University of Colorado Boulder. Following an entrepreneurial leave at JetBrains Research\, he leads research on trustworthy agentic AI and Generative AI for Software Engineering\, combining large language models with program analysis and human oversight to build more reliable AI systems. Danny is the founder and Executive Director of the NSF Industry–University Cooperative Research Center on Pervasive Personalized Intelligence (PPI Center) and is leading a multi-university initiative to establish a large-scale Center on Trustworthy AI. His research has received 12 distinguished paper and impact awards\, and software developed by his research group has been incorporated into widely used developer tools used by millions of software engineers every day. His research is funded by NSF\, Google\, Microsoft\, Intel\, JetBrains\, Oracle\, IBM\, Trimble\, NEC\, and Boeing. \nMore information about him: https://danny.cs.colorado.edu
URL:https://www.cs.utah.edu/calendar/colloquium/
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20261010
DTEND;VALUE=DATE:20261019
DTSTAMP:20260915T173441Z
CREATED:20260915T173441Z
LAST-MODIFIED:20260915T173441Z
UID:113868-1791590400-1792367999@www.cs.utah.edu
SUMMARY:Fall Break
DESCRIPTION:
URL:https://www.cs.utah.edu/calendar/fall-break/
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DTSTART;TZID=America/Denver:20261020T160000
DTEND;TZID=America/Denver:20261020T180000
DTSTAMP:20260930T183755Z
CREATED:20260917T144132Z
LAST-MODIFIED:20260930T183755Z
UID:113870-1792512000-1792519200@www.cs.utah.edu
SUMMARY:Organick Lecture
DESCRIPTION:Organick Lecture Series
URL:https://www.cs.utah.edu/calendar/organick-lecture/
LOCATION:WEB 1250\, 72 S Central Campus Dr\, Salt Lake City\, UT\, 84112\, United States
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