Scalable and Sustainable AI Workshop

6500 Main St,Houston TX 77030

27 October, 2021

Description

Scalable and Sustainable AI Workshop: Overcoming the Wide Gap Between AI in Theory and AI in Production. Please use your academic email address if you are registering with the Academic rates. Wednesday, October 27 will be an in-person add-on day with a technical workshop highlighting deep learning and high-performance computing with Alex Smola, VP of AWS, and Anshumali Shrivastava with Rice University at the BRC on Rice University campus. In this workshop, we will explore recent advances in designing a new generation of scalable and sustainable AI algorithms that are exponentially cheaper and can cope with future demands. This workshop will feature Keynote Speakers from Industry and Academia, hands-on tutorials, contributed papers, posters, and networking sessions. Masks are required indoors, the auditorium holds nearly 300 people with registration limited to around 125 for plenty of room to social distance, food provided in boxed and packaged format, and there will be an outdoor open sided tent with seating to allow eating/drinking to occur outside with continuous airflow. Click here to learn more about the Scalable and Sustainable AI Workshop! Visit ai-datascience.rice.edu to learn more about the Ken Kennedy AI and Data Science Conference (free registration!) Sponsors: Gold Sponsors: DDN and Bright DataSilver Sponsors: Microsoft, PROS, SambaNova Systems, and Two SigmaBronze Sponsor: VAST DataEcosystem Partners: Rice Data to Knowledge Lab (D2K), Data Science Council of America, LF AI & Data, The Ion, Greater Houston Partnership, Alliance for Artificial Intelligence in Healthcare, and Houston ExponentialRefund Policy: More than 7 days prior: Full Refund (Not including Eventbrite service fee)Less than 7 days prior: No Refund The Ken Kennedy Institute is dedicated to the advancement of research in the fields of computing, data science and information technology. We provide broad support for a strong community of research experimentation that challenges traditional disciplinary limits. We see our most important role as being a catalyst for research collaboration across the conventional boundaries of school, department, center and laboratory. We work to encourage partnerships with industry, government and other universities to help solve real-world problems.