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Jim Ballingall

Cloud, AI & ML, Blockchain

Jim Ballingall is the Executive Director of the Industry-Academia Partnership (IAP), an organization that aims to foster collaboration between academia and industry to catalyze new product innovations. He is based in the San Francisco Bay Area and has a strong focus on customer success, leveraging his diverse skills in products, marketing, sales, and execution.24

In his role at IAP, Ballingall is involved in organizing workshops and events that bring together university professors, students, and industry professionals to discuss cutting-edge research and technology challenges. These workshops are designed to facilitate collaboration and inspire new research opportunities among participants from leading institutions.156

Ballingall has a background in community outreach and engagement, and he has previously held roles that emphasize the importance of partnerships within the tech ecosystem.3 His work is instrumental in bridging the gap between academic research and practical industry applications, particularly in areas related to cloud computing and artificial intelligence.1

Highlights

Apr 21 · linkedin

The UC Irvine Workshop on the Future of AI and Cloud Computing will be conducted on Thursday, May 2, 2024 at UC Irvine.

Speakers: Faculty from UCI, UCLA and Industry Experts

Venue: Room 1010, Interdisciplinary Science & Engineering Building (ISEB), 419 Physical Sciences Quad, Irvine, CA 92697 ​

  • Prof. Quanquan Gu, UCLA and Head of AIDD at Bytedance, "Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models"

  • Dr. Bilge Acun, FAIR @ Meta, "Towards a Sustainable and Efficient LLM Infrastructure"

  • Prof. Hyoukjun Kwon, UCI, "ML Workloads in AR/VR and their Implication to the ML System Design"

  • Prof. Jason Cong, UCLA, Volgenau Chair for Engineering Excellence, "Can We Automate Chip Design with Deep Learning?

  • Dr. Somdeb Majumdar, Director of Intel AI Lab, "The Era of Foundation Models – What Lies Beyond LLMs"

  • Prof. Miryung Kim, UCLA, Vice Chair of Graduate Studies, "Software Engineering for Data Intensive Scalable Computing and Heterogeneous Computing"

  • Prof. Aparna Chandramowlishwaran, UCI, "HPC Datasets and Benchmarks for Machine Learning"

  • Dr. Ramyad Hadidi, Rain AI, "On-Device Computing: Rain AI’s Mission for Energy-Efficient AI Hardware"

  • Prof. Nikil Dutt, UCI, Chancellor's Professor of Computer Science, "Adaptive Computer Systems through Computational Self-Awareness"

Jason Cong HyoukJun Kwon Quanquan Gu Bilge A. Ramyad Hadidi Somdeb Majumdar Miryung Kim Aparna Chandramowlishwaran

Participants will include faculty, postdocs, students, industry scientists and engineers. The student poster session conducted during the break at lunch is open to any student. The Best Poster Award is $300.

Advance Registration is Required on the IAP Website:

Apr 12 · linkedin

UCSD WORKSHOP ON THE FUTURE OF AI and CLOUD COMPUTING

Date: Friday April 21, 2023 - 8:30am-4:00pm PDT

Venue: Room 1202, Computer Science & Engineering (CSE), Voight Drive, La Jolla, CA 92093

Participants will include faculty and students from UCSD, UCI, UCLA, UCR and USC. Expect a full day of talks by leading experts in academia and industry working in AI and machine learning, hardware acceleration, networking, and storage.

Speakers on April 21 include (alphabetical by last name):

Prof. Salman Avestimehr, USC, “Collaborative Machine Learning at the Edge”

Prof. Hadi Esmaeilzadeh, UCSD, “Towards Architecting Machines for Empathic Conscious Intelligence”

Prof. Hyoukjun Kwon, UCI, “XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse”

Dr. Yunfei Ma, Alibaba, “Overcome the "Last-mile" Challenge through Wireless and Video Collaboration”

Prof. Amy Ousterhout, UCSD, “Optimizing CPU Efficiency and Tail Latency in Datacenters"

Dr. Doug Terry, Amazon Web Services, “Replicating Cloud Data Across Regions for Business Continuity”

Prof. Hung-Wei Tseng, UCR, “The upcoming revolution of general-purpose computing”

Dr. Amir Yazdanbakhsh, Google, "From Data to Success: Leveraging Machine Learning for Full Stack Optimization"

Prof. Yiying Zhang, UCSD, “An End-to-End Implementation of A “Server-less” Data Center” 

Pre-registration is required. Please see the Workshop Event page below to apply for registration.

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Jim Ballingall
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Location

San Francisco Bay Area