Events: Calendar

The Future of Machine Learning

Title: The Future of Machine Learning
Event Date: 5/24/2018 - 5/24/2018
Event Time: 5:30 p.m.
Location:

CALIT2 Building Auditorium, UC Irvine

Description:

SOLD OUT

Machine Learning is currently one of the hottest topics in IT. That's because of the unlimited ways it can have an impact: from fraud detection to self-driving cars, from identifying gold card customers to price prediction. CALIT2's semiannual Igniting Technology program will feature industry and academic experts discussing machine learning hardware trends, from semiconductor chip design to novel approaches in system architecture. Learn how the emerging data engineering infrastructure is making machine learning easily accessible to scientists and program developers.

Join us for CALIT2's signature Igniting Technology program on Thursday, May 24, 2018 to:

  • Learn how far machine learning has come in recent years and where it is headed
  • Explore emerging system architecture approaches from cutting-edge startups
  • Understand edge devices and how the latest microelectronic advances can move machine learning from the cloud to these distributed edges
  • Discover why machine learning is a rich field for innovation and investment
  • See what CALIT2 is doing to provide unparalleled data engineering infrastructure support
Agenda:

Registrant Check-in 5:00 pm

Presentations 5:30 pm

Moderated Panel Q & A 7:00 pm

Networking Dinner 7:30 pm 

Speakers:
Speakers (in order of presentation):
Charless Fowlkes, associate professor, UCI computer science
Wei Li, vice president and general manager machine learning and translation, Intel
Larry Smarr, professor and CALIT2 founding director, UC San Diego
Jeremy Holleman, CTO, Syntiant 
Henry Wong, vice president cybersecurity ecosystem development, Axiado
Brad Costello, BRC Ventures
Moderator:

Scott Raevsky, partner, Knobbe Martens

Sponsors:

This event is part of CALIT2's semiannual Igniting Technology program, generously sponsored by Knobbe Martens.

Directions:

Driving and parking directions