Our planet is experiencing worldwide growth in energy consumption and CO2 emission and is experiencing temperature rise and climate change at an accelerating rate. A new series from the Institute of Energy Efficiency at UC Santa Barbara describes a path to reducing our energy consumption and CO2 emission.
The series kicks off with John Bowers, Director of the Institute of Energy Efficiency and Professor of Electrical and Computer Engineering and Materials, discussing the evolution of photonics and what the future holds for more efficient, higher capacity data centers, which are important for machine learning and data processing.
Fiber optics has transformed our work and, indeed, our lives, by enabling the Internet through low-cost, high-capacity fiber optic transmission. In data centers, fiber optics is replacing electrical cables, thereby allowing for higher and more economical performance.
Watch — A New Focus for Energy Efficiency
Explore the immensity of the human brain, its billions of neurons and trillions of connections, and the research that is helping us understand more about this complex and amazing organ.
Lawrence Livermore National Laboratory’s popular lecture series returns with four new episodes each relating to the brain. The lectures are aimed at a middle and high school level and presented by LLNL scientists in collaboration with high school science teachers. This is a great opportunity to get a look at the cutting-edge science in a friendly and understandable way. Explore the immensity of the human brain, its billions of neurons and trillions of connections, and the research that is helping understand more about this amazing organ.
Browse more programs in Field Trip at the Lab: Science on Saturday.
We use recommender system all the time. A website will recommend something to you based on what you’ve watched, listened to, bought or who you’ve friended on Facebook. These systems attempt to predict your preferences based on past interactions.
The systems range from simple statistical approaches like Amazon’s people who bought X also bought Y links, to complex Artificial Intelligence-based approaches that drive feed ranking on sites like Facebook.
Julian McAuley, UC San Diego Computer Science and Engineering, explores the modeling techniques behind personalized recommendation technology on the web and the different systems that we encounter.
He reminds us that we often find these recommendations a bit “creepy,” but that actually the recommender system has no human intelligence; it’s really a simple statistical process. They focus on short-term predictions but could they be adapted to make long-term predictions or estimate more subjective qualities? Would that be bad?
Watch How Do Websites Personalize Recommendations for Me? – Exploring Ethics
With the vast amount of data available in digital form, the field of Artificial Intelligence (AI) is evolving rapidly.
If you’ve even been caught on a phone tree with a computer that doesn’t understand what you are saying, you’ll appreciate that scientists are trying to figure out how to teach machines to understand, to communicate and even be empathetic.
William Wang, Director of the Natural Language Processing Group at UCSB, summarizes the stunning achievements of Artificial Intelligence for the past decade and talks about the intersection of AI and language. He’s trying to build an empathetic conversational agent that can understand and generate human sentences with rich emotions.
Wang also looks at the challenges facing AI in the future and the work ahead of these researchers as they strive to keep improving AI and making it better for everyone.
William Wang is the Director of UCSB’s Natural Language Processing Group, and an Assistant Professor in the Department of Computer Science at UCSB. He received his PhD from School of Computer Science, Carnegie Mellon University. He has broad interests in Artificial Intelligence, Machine Learning, and Natural Language Processing. He is the recipient of a DARPA Young Faculty Award, an IBM Faculty Award, a Facebook Research Award, and an Adobe Research Award. He is an alumnus of Columbia University, and he also worked at Yahoo! Labs, Microsoft Research Redmond, and University of Southern California. His work and opinions appear at major tech media outlets such as Wired, VICE, Fast Company, The Next Web, and Mental Floss.
Watch Artificial Intelligence: What’s Next?
Have you ever wondered how Amazon knows what products might pair well with your most recent purchase? Or how Netflix knows what you should watch next? They use recommender systems. Two students from Mexican universities spent their summer learning all about these complex systems at UC San Diego.
The students were part of the new Summer Internships for Mexican Students program at the Computer Science and Engineering department. Department Chair Dean Tullsen says he started the program in part to create a pipeline that brings top students from Mexican universities to UC San Diego. In this installment of the Summer With CSE series, Tullsen explains why he felt it was important to create that connection with schools in San Diego’s backyard.
You will also meet four student researchers as they work on two separate projects. While one pair studied recommender systems, the other took on machine learning. They helped figure out ways to improve research on hyperdimensional computing, which is meant to mimic the way the human brain functions. While their work was varied, all four were inspired by the experience.
Watch Summer With CSE: SIMS -The Summer Internships for Mexican Students Program