Sustainable AI

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-- Artificial Intelligence, Sustainability, Data Center Redesign, and more ...--

 

 

Synopsis:

If not solved, AI models' power and water consumption threaten human society and ecology. AI is expected to consume 4% of the world's electricity by 2026. Water requirements are even more alarming as water is a shared, non-renewable resource. This talk will discuss some ways, such as data center redesign that industry and academia are working to tackle this issue and the research directions that may enable us to train and use energy-efficient models. 

  Date and Time

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  • Date: 29 Jan 2025
  • Time: 07:30 PM to 09:00 PM
  • All times are (GMT-08:00) US/Pacific
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  • Starts 25 December 2024 12:00 AM
  • Ends 29 January 2025 12:00 AM
  • All times are (GMT-08:00) US/Pacific
  • No Admission Charge

  Speakers

Dr. Vishnu S. Pendyala of San Jose State University

Topic:

Moderator

Biography:

Vishnu S. Pendyala, PhD is a faculty member in Applied Data Science and an Academic Senator with San Jose State University, current chair of the IEEE Computer Society Santa Clara Valley Chapter, and IEEE Computer Society Distinguished Contributor. During his recent 3-year term as an ACM Distinguished Speaker and before that as a researcher and industry expert, he gave  numerous (70+) talks in various forums such as faculty development programs, the 12th IEEE GHTC h5-index:14, h5-median:19, IEEE ANTS h5-index:15 h5-median:19, 11th and 12th IACC H5-Index: 606, H10-Index: 305, 10th ICMC H5-index: 10, h5-median: 15, IUCEE, to audiences at venues such as Stanford University, University of Bolton, Universidad de Ingeniería y Tecnología, Lima, Peru, IIIT Hyderabad, KREA, IIT Indore, IIIT Bhubaneswar. Some of these talks are available on YouTube and IEEE.tv. He is a senior member of the IEEE and has over two decades of experience in the software industry in the Silicon Valley, USA. His book, “Veracity of Big Data,” is available in several libraries, including those of MIT, Stanford, CMU, the US Congress and internationally. Two other books on machine learning and software development that he edited are also well-received and found a place in the US Library of Congress and other reputed libraries. Dr. Pendyala taught a one-week course sponsored by the Ministry of Human Resource Development (MHRD), Government of India, under the GIAN program in 2017 to Computer Science faculty from all over the country and delivered the keynote in a similar program sponsored by AICTE, Government of India in 2022. Dr. Pendyala recently served on the US government's National Science Foundation (NSF) proposal review panel. He received the Ramanujan Memorial gold medal and a shield for his college at the State Math Olympiad.

Address:One Washington Sq, San Jose State University, San Jose, United States, 95192-0250

Soumya Batra

Topic:

Sustainable AI

Both the power and water consumption of AI models pose a threat to human society and ecology if not solved. AI is expected to consume 4% of the world's electricity by 2026. The water requirements are even more alarming as it's a shared, non-renewable resource. This talk will discuss some ways that industry and academia are working on to tackle this issue (such as data center redesign) and the research directions that may enable us to train and use energy-efficient models. 

Biography:

Soumya Batra, co-author of Llama 3 and Llama 2, has 11 years of experience in Natural Language Processing. Her journey spans from her Master's at Carnegie Mellon to industry roles at Microsoft and Meta. She has worked across classical ML and large language models, focusing on conversational AI, multimodal AI, data efficiency, evaluation, and safety. She has contributed to products like virtual assistants, Reality Labs, and the Llama models. Soumya is currently an independent researcher, exploring sustainable and energy-efficient AI models in India. She is also an Advisor to an EdTech startup (stealth) and founder of Tech for Good-India Initiative, which builds tech products for societal improvements in India. She was recently listed as a H20 Top 100 AI thought leader, 2024. (https://h2o.ai/ai-100/winners/).