Oracle Tech Talk and Info-Session

Wozniak Lounge (430) Soda Hall
This is your chance to discover what everyday life at Oracle is like. We’ll also talk about Database In-Memory, an Oracle product that provides a unique, dual-format architecture and leverages state-of-the-art algorithms for scans, joins, and aggregations to deliver leading-edge, in-memory analytic performance for Real Time Enterprises. See you there! Dinner will be served. Bring your resume...

Algorithmic Regularization in Over-parameterized Matrix Recovery and Neural Networks with Quadratic Activations

1011 Evans Hall
  • Tengyu Ma, Facebook AI Research
Over-parameterized models are widely and successfully used in deep learning, but their workings are far from understood. In many practical scenarios, the learned model generalizes to the test data, even though the hypothesis class contains a model that completely overfits the training data and no regularization is applied. In this talk, we will show that such phenomenon occurs in...

Computational Design for the Next Manufacturing Revolution

310 - Banatao Auditorium Sutardja Dai Hall
  • Adriana Schulz, Ph.D. Candidate, Massachusetts Institute of Technology
In my talk, I argue that the field of computational design is essential for the next revolution in manufacturing. To build increasingly functional, complex and integrated products, we need to create design tools that allow their users to efficiently explore high-dimensional design spaces by optimizing over a set of performance objectives that can be measured only by expensive computations. ​

Dr. Julia Fukuyama, Fred Hutchinson Cancer Research Institute

306, HP Auditorium Soda Hall
Abstract: Transcription, the fundamental cellular process by which DNA is copied to RNA, is tightly regulated in healthy human development but frequently dysregulated in disease. During or shortly after transcription, regions known as “introns” are spliced out of the RNA to produce mature “messenger” RNA. Massively parallel sequencing of RNA (RNA-seq) has become a ubiquitous technology in...

Lyft Tech Talk and Info-Session

Wozniak Lounge (430) Soda Hall
Come hear about Lyft's autonomous self-driving efforts! Free food, resume drop, and meet the team!

Currents and Phases in Quantum Rings

60 Evans Hall
  • Prof. Kathryn Moler, Stanford University, Physics & Applied Physics
Emergent phenomena in quantum systems often exhibit magnetic signatures. In this talk, I will describe how to use the current in a ring to access fundamental and topological properties of quantum states of charge-carrying particles. Applying a magnetic flux through a ring creates a phase gradient, in response to which a current flows, creating magnetic fields that we measure with a scanning...

Knowledge from Language via Deep Understanding

430-438 Wozniak Lounge Soda Hall
  • Danqi Chen, Ph.D. Candidate, Stanford University
In this talk, I explore novel neural network approaches that open up opportunities for getting a deep understanding of natural language text.

Statistics and Data Science: the Prediction and Modeling Cultures

102 Moffitt Undergraduate Library
  • Roderick Little, University of Michigan
I recently taught a course entitled "Seminal Papers and Controversies in Statistics", and Leo Breiman's (2001) article "Statistical Modeling: The Two Cultures" was a very popular paper with students. The paper contrasts the machine learning culture, with it's focus on prediction, with more classical parametric modeling approach to statistics. I am more in the parametric modeling camp, but...

Online MEng Info Session

Learn more about our inter-disciplinary Master of Engineering professional program at University of California, Berkeley’s College of Engineering. Staff and students will answer your questions and discuss our innovative leadership curriculum, capstone projects, technical concentrations, dedicated career services, and admissions criteria.

Center for Computational Biology Seminar

125 Li Ka Shing Center
Title: Quantifying the evolutionary dynamics of tumor progression and metastasis Abstract: Cancer results from the acquisition of somatic alterations in an evolutionary process that typically occurs over many years, much of which is occult. Understanding the evolutionary dynamics that are operative at different stages of progression in individual tumors might inform the earlier detection,...