Events

Feb01

CCB Seminar: Single-cell genomic analysis of neural diversity in the vertebrate visual system

125 Li Ka Shing Center
  • Dr. Karthik Shekhar, University of California, Berkeley
Single-cell genomic analysis of neural diversity in the vertebrate visual system Abstract: Neurons, the building blocks of the brain, are diverse morphologically, molecularly and functionally. My research group studies neural diversity in the visual system, which comprises the brain regions involved in processing visual information (e.g. retina, thalamus, visual cortex). Using single-cell...
Feb01

Graphs, Optimization, Geometry, and Fast Algorithms

306 Soda Hall
  • Yang Liu, Stanford University
Abstract: Discrete combinatorial structures such as graphs and Boolean matrices are prevalent in modern computation. The massive size of modern data motivates the design of efficient algorithms for processing these combinatorial datasets. In this talk, I will describe how to use techniques from continuous optimization and geometry to gain insights into the structure of problems in these...
Feb03

Making Movies of Molecules - The Application of X-ray Lasers: Nano Seminar series

277 Cory Hall
  • Dr. Junko Yano, LBNL, Molecular Biophysics and Integrated Bioimaging
The metal centres in metalloenzymes and molecular catalysts are responsible for the rearrangement of atoms and electrons during complex chemical reactions, and they enable selective pathways of charge and spin transfer, bond breaking/making, and the formation of new molecules. Mapping the electronic structural changes at the metal sites during the reactions gives a unique mechanistic insight that...
Feb06

Certifiably Robust Learning via Knowledge-Enabled Logical Reasoning

Banatao Auditorium Sutardja Dai Hall
  • Bo Li, Assistant Professor, University of Illinois at Urbana–Champaign
Abstract: As intelligent systems become more pervasive, ensuring their trustworthiness is of paramount importance. Traditional machine learning approaches often assume that the training and test data follow similar distributions, neglecting the possibility of adversaries manipulating either distribution or natural distribution shifts, which can lead to severe trustworthiness issues in machine...
Feb07

Spring 2023 Technology Networking Event for Graduate Students

Martin Luther King Jr. Student Union
You are invited to attend a special UC Berkeley Tech Networking Event on Tuesday, February 7 from 2-4pm in the MLK Student Union on the UC Berkeley campus. Employers: This is a great opportunity to mingle with talented UC Berkeley graduate students seeking internships and full-time careers in areas such as: data science, user experience design, user experience research, product management,...
Feb08

Apple Engineering Networking Event

Garbarini Lounge Bechtel Engineering Center
Apple will be on campus Wednesday (2/8) to hold a Networking event with students. Come by to learn about potential opportunities for employment! Please REGISTER HERE. Apple will be checking registrations at the door. https://joinapple.avature.net/ucberkeleyspringnetworking?projectId=792 Wednesday, February 8, 2022 9:00a.m. - 1:00p.m. PT Garbarini Lounge, Bechtel Engineering...
Feb08

E-Graphs for Next-Gen Programming Language Tools

306 Soda Hall
  • Max Willsey, University of Washington
Abstract: Building a state-of-the-art program optimizer, synthesizer, or verifier is still a gargantuan task for even programming language (PL) experts. Much of this challenge stems from the fact that term rewriting, a ubiquitous approach to manipulating programs, only works with one version of a program at a time. As a result, the system builder must carefully consider every program...
Feb09

Safe and Efficient Operation of Energy Systems Through Structured Learning

540 Cory Hall
Our electric grids are undergoing changes in both form and function, where renewable resources and new devices are creating systems that are more distributed, dynamic and uncertain. Modern AI and machine learning tools have the potential to transform the operation of these new energy systems. However, such algorithms typically do not provide guarantees on stability or safety, making...
Feb10

Direct Force Spectroscopy – Measuring Interaction Forces Between Surfaces At The Nano-Scale: Nano Seminar series

277 Cory Hall
  • Prof. Tonya Kuhl, UC Davis, Chemical Engineering
The Surface Force Apparatus (SFA) is a highly versatile method for directly measuring the interaction forces between two surfaces with sub-nanometer resolution in distance and 10 picoNewtons in force. Both the normal and shear force between the surfaces can be measured as well as the refractive index of the films to ±0.005. This talk will describe the SFA technique in detail and highlight a...