Big Data, Big Ideas
October 23, 2017 | University of California - Santa BarbaraEstimated reading time: 1 minute

With the surge of devices that generate enormous amounts of information (think Internet of Things) and major advances in the computing power of our machines, we are awash in an unprecedented amount of data. This phenomenon, in turn, opens up possibilities for how this data may be used, and how it can be handled.
And it will all be addressed in a new lecture series at UC Santa Barbara.
Created by faculty members in UCSB’s Department of Statistics and Applied Probability (PSTAT), leaders in the diverse fields that generate and rely on massive data sets will visit campus to discuss hot topics and emerging trends in the field of data science.
“The goal is to promote the campus-wide effort to contribute to research and teaching in the area of data science from theory to applications,” said PSTAT professor Jean-Pierre Fouque, one of the creators of the lecture series.
Designed to be accessible to a wide audience, from undergraduate and graduate students to faculty and the general public the lectures are set to occur at least once per quarter. All are free and open to the public.
“We are delighted that more cross-disciplinary conversations are developing around this lecture series,” said Sang-Yun Oh, another PSTAT faculty member behind the lecture series. “We hope they will contribute to advancing UCSB to become one of the leaders in data science research and education.”
The series kicks off Wednesday, October 25, from 3:30 to 4:30 p.m. at UCSB’s Campbell Hall, with Peter Norvig, a director of research at Google, Inc. In the talk “Creating Software with Machine Learning: Challenges and Promise,” Norvig will discuss software and applications built not through programming, scripts, rules and code, but by an iterative process that “trains” a machine to perform a task until it does so correctly.
A co-author of “Artificial Intelligence: A Modern Approach,” which has become the leading textbook in its field, Norvig has a scientific career that includes work at NASA’s Ames Research Center, Harlequin, Inc., and Sun Microsystems. In his teaching career, he developed an extremely popular online course in artificial intelligence at Silicon Valley think tank Singularity University. He is a member of the Association for the Advancement of Artificial Intelligence, the Association for Computing Machinery, the California Academy of Science and the American Academy of Arts & Science
Suggested Items
AI Boom Drives Surge in Data Center Interconnect Demand; Global Market Value to Grow 14.3% in 2025
05/19/2025 | TrendForceTrendForce reports that leading global telecom providers such as SK Telecom and Deutsche Telekom are rolling out Agentic AI services for general users as generative AI becomes increasingly integrated into daily life in 2025.
FTG Achieves Major Milestone with TCCA Certification for Edge+ on Boeing 737NG Family
05/16/2025 | Globe NewswireFiran Technology Group Corporation (FTG) announced that its FLYHT subsidiary has been awarded a Supplemental Type Certificate (STC) by Transport Canada Civil Aviation (TCCA) for the AFIRS Edge+™ product on the Boeing 737NG family of aircraft.
Future-proofing Electronics: ChemFORWARD Works Toward Collaboration for Safer Chemistry
05/19/2025 | Rachel Simon, ChemFORWARDThe electronics industry is facing a critical juncture. As consumer demand for sustainable products rises and regulatory pressures intensify, companies must prioritize the safety of their products and processes. This means not only complying with evolving chemical restrictions but also proactively seeking safer alternatives.
Corning Collaborates with Broadcom to Accelerate AI Data Center Processing Capacity
05/14/2025 | BUSINESS WIRECorning Incorporated, a world leader in glass science and optical physics, today announced a collaboration with Broadcom Incorporated, a leading supplier in the semiconductor field, on a co-packaged optics (CPO) infrastructure that will significantly increase processing capacity within data centers.
Breaking Down Barriers: The Connectivity of Machines in SMT Production Lines
05/14/2025 | Bill Cardoso, Creative ElectronAs the world increasingly moves toward erecting trade barriers, we find ourselves in a paradox. Across the globe, the rise in tariffs and protectionist policies is creating a more fragmented global economy, with nations seeking to insulate themselves from external economic pressures. However, within the confines of the SMT production line, the trend is moving in precisely the opposite direction—toward greater connectivity, integration, and collaboration. Rather than isolating one machine from another, SMT production lines are increasingly interconnected, with data being shared across various stages of the process to improve quality, efficiency, and defect detection.