<< December 2019 >>

Monday, December 2, 2019

Dissertation Talk: Compiling Communication-Minimizing Query Plans

Seminar: Dissertation Talk: CS | December 2 | 9:30-10:30 a.m. | 380 Soda Hall

 Eric Love

 Electrical Engineering and Computer Sciences (EECS)

BIDS Forum: Statistics and Machine Learning Forum

Lecture: CS: Data Science | December 2 | 1:30-2:30 p.m. | 190 Doe Library

 Berkeley Institute for Data Science

Full details about this meeting will be posted here: https://bids.berkeley.edu/events.

Tuesday, December 3, 2019

Dissertation Talk: High-Q Strong Coupling Capacitive-Gap Transduced RF Micromechanical Resonators

Presentation: Berkeley Sensor & Actuator Center (BSAC): EE | December 3 | 2-3 p.m. | Cory Hall, Swarm Immersion, 490 Cory Hall

 Alper Ozgurluk, Prof. Clark T.-C. Nguyen Research Lab, BSAC

 Berkeley Sensor & Actuator Center (BSAC)

Single-digit-nanometer electrode-to-resonator gaps have enabled 200-MHz radial-contour mode polysilicon disk resonators with motional resistance Rx as low as 144Ohm while still posting Q’s exceeding 10,000, all with only 2.5V dc-bias. The demonstrated gap spacings down to 7.98nm are the smallest to date for upper-VHF micromechanical resonators and fully capitalize on the fourth power dependence...   More >

Simons Institute Theoretically Speaking Series — Artificial Stupidity: The New AI and the Future of Fintech

Lecture: Artificial Intelligence: Theory of Computing: CS | December 3 | 6-7:30 p.m. |  David Brower Center

 2150 Allston Way, Berkeley, CA 94704

 Andrew W. Lo, Massachusetts Institute of Technology

 Simons Institute for the Theory of Computing

Financial AI seems so close, yet so far. We have automated trading algorithms, machine-learning models of credit risk, electronic exchanges, robo advisors, and cryptocurrencies, but machines still haven’t replaced portfolio managers, financial advisors, and bankers. So what’s missing? Not artificial intelligence. What's missing is that we have yet to develop an algorithmic understanding of human...   More >

Wednesday, December 4, 2019

BLISS Seminar: On sampling and inference of spatial fields from samples taken by a location-unaware mobile sensor

Seminar: EE: Berkeley Laboratory for Information and System Sciences (BLISS) | December 4 | 3-4 p.m. | 400 Cory Hall

 Animesh Kumar, IIT Bombay

 Electrical Engineering and Computer Sciences (EECS)

We consider the problem of spatial field inference using a location-unaware mobile sensor moving along a known path. The location-unaware sensing/sampling locations are modeled as a renewal process along the path, where the renewal distribution is not known. In this setup, where sampling locations as well as sample-location’s distribution is unknown, equispaced approximation of sampling locations...   More >

EECS Colloquium: The Internet of Materials: The next logical step or a paradigm shift?

Colloquium: Departmental: EE: CS | December 4 | 4-5 p.m. | Soda Hall, 306 (HP Auditorium)

 Gregory Abowd, Georgia Tech

 Electrical Engineering and Computer Sciences (EECS)

Revisiting Weiser’s 30-year old inspirational vision on ubiquitous computing, we see that there are three factors that today limit the kind of ubiquity that Weiser described: power, cost, and form factor. Using these factors to drive our efforts, we have created examples of computational materials at Georgia Tech that demonstrate self-sustaining computational devices that are manufactured with...   More >

Techfair at Berkeley: UC Berkeley's all-new showcase for student makers

Conference/Symposium: EE: CS | December 4 | 6-10 p.m. | Martin Luther King Jr. Student Union, Pauley Ballroom

 Electrical Engineering and Computer Sciences (EECS)

Techfair is a showcase focused on bringing together Berkeley's brightest student makers – students who're creating innovative, disruptive solutions to real-world problems. It's an event that identifies and highlights the side projects created by the maker community driving the Berkeley startup ecosystem.

Thursday, December 5, 2019

Dissertation Talk: Enhancing Performance of Analog Mixed Signal Circuits using Integrated Silicon-Photonics

Seminar: Dissertation Talk: EE | December 5 | 11 a.m.-12 p.m. | 400 Cory Hall

 Electrical Engineering and Computer Sciences (EECS)

Title: Enhancing Performance of Analog Mixed Signal Circuits using Integrated Silicon-Photonics
Speaker: Nandish Mehta, Dept of EECS, UC Berkeley
Advisors: Prof. Vladimir Stojanović

Date: 12/5/2019
Time: 11:00 AM - 12:00 noon
Location: Hughes Room, Cory 400

Data Science Showcase

Presentation: CS: Data Science | December 5 | 12:30-3:30 p.m. |  Sutardja Dai Hall

 Data Sciences

Join us for the Data Science Fall Showcase! The showcase will feature work from our Human Contexts and Ethics, Modules, and Discovery research projects on topics ranging from charter schools to the US Census to gender diversity.

Dissertation Talk: Explainable and Advisable Learning for Self-driving Vehicles

Seminar: Dissertation Talk: CS | December 5 | 2-3 p.m. | 405 Soda Hall

 Jinkyu Kim, UC Berkeley

 Electrical Engineering and Computer Sciences (EECS)

Whereas classical AI systems involved carefully-crafted features, one of the new powers of deep learning methods is the ability to learn effective latent representations from data. Unfortunately, whereas human-designed feature maps are often easy-to-interpret, deep representations may not be. While there have been some successes in visualizing deep models on image data, many models remain...   More >

Friday, December 6, 2019

Solid State Technology and Devices Seminar: Electronic, Thermal, and (Some) Unusual Applications of 2D Materials

Seminar: Solid State Technology and Devices: EE: CS: Data Science | December 6 | 1-2 p.m. | Cory Hall, The Hogan Room, 521

 Eric Pop, Professor, Stanford, Electrical Engineering, Materials Science & Engineering, and SystemX Alliance

 Electrical Engineering and Computer Sciences (EECS)

This talk will present recent highlights from our research on two-dimensional (2D) materials including
graphene, boron nitride (h-BN), and transition metal dichalcogenides (TMDs).

When Liquids are Liquids or Maybe Not: Nano Seminar Series

Seminar: Micro/Nano Electro Mechanical Systems (MEMS): EE | December 6 | 2-3 p.m. | 120 Latimer Hall

 Prof. Thomas P. Russell, Univ of Massachusetts / Polymer Science and Engineering

 Berkeley Nanosciences and Nanoengineering Institute

We introduce systems of liquids trapped in non-equilibrium configurations by interfacial assemblies of nanoparticle surfactants (‘NPSs’). These constructs consist of aqueous threads, length ~10-100 cm and diameter ~100 m whose mechanical properties are determined by an interfacial NPS assembly 20 nm thick. The interfacial layer consists of nanoparticles and polymers with complementary...   More >

Dissertation Talk: Towards More Scalable and Robust Machine Learning

Seminar: Dissertation Talk: EE | December 6 | 2-3 p.m. | 373 Soda Hall

 Dong Yin, Department of Electrical Engineering and Computer Sciences

 Electrical Engineering and Computer Sciences (EECS)

Dissertation talk - Dong Yin, PhD student, EECS Department

BLISS Seminar: Gaussian limits in two inference problems

Seminar: EE: Berkeley Laboratory for Information and System Sciences (BLISS) | December 6 | 2-3 p.m. | 212 Cory Hall

 Jingbo Liu, MIT

 Electrical Engineering and Computer Sciences (EECS)

Distribution limits in large systems are often the key to understanding the fundamental limits or designing inference algorithms, though sometimes not immediately recognized. I would like to discuss two pieces of my recent work with this flavor.
One piece of work concerns inference on trees. Evans, Kenyon, Peres, and Schulman (2000) and Mossel (2004) conjectured that the Kesten-Stigum (KS)...   More >

Tuesday, December 10, 2019

Dissertation Talk: Human Intranet: Connecting Wearable and Implantable Devices

Seminar: Dissertation Talk: Berkeley Wireless Research Center (BWRC): EE | December 10 | 11 a.m.-12 p.m. | 2108 Allston Way (Berkeley Wireless Research Center), Rabaey room

 Ali Moin, Department of Electrical Engineering and Computer Sciences

 Electrical Engineering and Computer Sciences (EECS)

With the explosive growth of the smart society and Internet of Things, enormous amounts of information are available in the enhanced world around us and the cyber-world beyond. Hence the traditional human input/output modalities (sight, smell, hearing, taste and touch as inputs, and motor control as output) no longer have the necessary bandwidth or expressiveness to effectively deal with...   More >

Dissertation Talk: Approaches to Safety in Inverse Reinforcement Learning

Presentation: Dissertation Talk: EE | December 10 | 12-1 p.m. | 337B Cory Hall

 Dexter Scobee

 Electrical Engineering and Computer Sciences (EECS)

Dexter Scobee's Dissertation talk on "Approaches to Safety in Inverse Reinforcement Learning"

Dissertation talk: Computational Tools for Immune Repertoire Characterization and Primer Set Design

Presentation: Dissertation Talk: CS | December 10 | 3-4 p.m. | 606 Soda Hall

 Jane Yu

 Electrical Engineering and Computer Sciences (EECS)

The enormous decrease in the cost of genomic sequencing over the past two decades has enabled researchers to revisit previously unaddressable questions in sequence analysis. However, this boom of genomic information has introduced new sets of problems that often demand computationally efficient methods. In this talk, we describe computational tools for two such settings involving...   More >

Wednesday, December 11, 2019

Power and Energy Seminar: Time-of-use rate plans to create a smarter energy future.

Seminar: Power Electronics: EE | December 11 | 11 a.m.-12 p.m. | 380 Soda Hall

 Susan Norris, PG&E

 IEEE PELS/PES/IAS

Many California residential electric customers are transitioning to Time-of-Use (TOU) rate plans as part of statewide efforts to create a smarter energy future and healthier environment while balancing the need to keep customer rates affordable. PG&E will soon transition eligible customers from their standard tiered rate plan to the new “Time-of-Use Peak Pricing 4-9p.m. Every Day”. Learn more...   More >

Thursday, December 12, 2019

Portable, Collaborative, and Transparent Computational Research from the Start

Presentation: CS: Data Science | December 12 | 1:30-3 p.m. | 190 Doe Library

 Dav Clark, Head of Data Science, Gigantum

 Berkeley Institute for Data Science

While standard practices have emerged - for example, using GitHub to publish the details of a research project - the truth is that a significant amount of manual effort and expertise is required to publish and also to use such open projects. The situation becomes even more untenable when a broader field of expertise comes into play - we can't expect medical doctors and policymakers to learn basic...   More >

Center for Computational Biology Seminar: Topics in Cancer Genomics: Mark Gerstein, Professor, Yale University

Seminar: Biosystems and Computational Biology: CS | December 12 | 2-3 p.m. | 125 Li Ka Shing Center

 Center for Computational Biology

Title: Topics in Cancer Genomics

Abstract:
My talk will focus on how to leverage thousands of cancer
genomes and functional genomics datasets to discover
disease-associated regulators and variations. First, I will go over
the ENCODE annotation related to the cancer genome. I will show how
extended gene annotation allows us to place oncogenic transformations
in the context of a large cell...   More >

Monday, December 16, 2019

BIDS Forum: Statistics and Machine Learning Forum

Lecture: CS: Data Science | December 16 | 1:30-2:30 p.m. | 190 Doe Library

 Berkeley Institute for Data Science

Full details about this meeting will be posted here: https://bids.berkeley.edu/events.

Dissertation Talk: End to End Learning in Autonomous Driving System

Seminar: Dissertation Talk: CS | December 16 | 2-3 p.m. | 405 Soda Hall

 Yang Gao, EECS Department

 Electrical Engineering and Computer Sciences (EECS)

Autonomous driving has attracted a lot of attention in the past few years. A typical self-driving system needs manual design and coordination across multiple modules, such as perception, behavior prediction, planning and trajectory generation. Those manually designed information flow might be far from optimal. Deep learning has dramatically improved image recognition performance by replacing the...   More >

Wednesday, December 18, 2019

Dissertation Talk: The Sparse Manifold Transform and Unsupervised Learning for Signal Representation

Seminar: Dissertation Talk: CS | December 18 | 12-1 p.m. | Evans Hall, 560 Evans

 Yubei Chen, EECS, BAIR, Redwood Center, Berkeley

 Electrical Engineering and Computer Sciences (EECS)

In this talk, I will first present a signal representation framework called the Sparse Manifold Transform that combines key ideas from sparse coding, manifold learning, and slow feature analysis. It turns non-linear transformations in the primary sensory signal space into linear interpolations in a representational embedding space while maintaining approximate invertibility. The sparse manifold...   More >

Thursday, December 19, 2019

Friday, December 20, 2019

Dissertation Talk: Secure, Expressive, and Debuggable Large-Scale Analytics

Presentation: Dissertation Talk: CS | December 20 | 10-11 a.m. | 465H Soda Hall

 Ankur Dave, UC Berkeley

 Electrical Engineering and Computer Sciences (EECS)

Tuesday, December 31, 2019

UC Berkeley Cloud Computing Meetup

Meeting: CS: Data Science | August 27, 2019 – August 25, 2020 the last Tuesday of the month every month | 4:30-7 p.m. |  Berkeley SkyDeck Penthouse

 Data Sciences

This meetup is aimed at bringing together students, researchers, faculty, IT staff and the wider local community to learn, share and discuss our work in designing and operating services built on cloud computing architectures.

We will feature speakers and engaging discussions around current issues in cloud computing often with an enterprise focus.