Events

Campus Reopening Notice

Starting June 16th, vaccinated EECS faculty, staff, and students can voluntarily return to their offices, labs and other research spaces in Cory and Soda Halls if they follow the procedures outlined in the EECS Safety Manual.  Building restrictions for non-affiliated collaborators, event attendees, and visitors will continue but be loosened over time. Cory and Soda Halls will open during the first week in August.  We are not hosting events or activities until we receive more clarity about regulatory requirements and are able to resume full operations. Most employees will return to campus on July 12th, and in-person instruction will resume for the Fall semester on August 25th, unless otherwise specified by campus. Please continue to check the University Coronavirus Updates and Resources for latest information.

Aug12

Transfer-to-Excellence​ Summer Research Symposium

Zoom
The Transfer-to-Excellence Summer Research Program provides California community college students with nine weeks of hands-on scientific research experiences in the laboratories of UC Berkeley faculty.
Aug18

Dissertation Talk: Three Dimensional Phase Contrast Electron Tomography For Multiple Scattering Samples

Zoom
  • David Ren
Electron tomography is a technique used in both materials science and structural biology to image features well below optical resolution limit. In this talk, I will present a new algorithm for reconstructing the three-dimensional(3D) electrostatic potential of multiple scattering samples at from phase contrast imaging using high-resolution transmission electron microscopy. Fisrt, I will show the...
Aug19

Molecular Foundry 2021 User Meeting: Free and Online!

Register for Zoom link Zoom Session
Nanoscience Research Conference: Molecular Foundry 2021 User Meeting - Free & Online The Molecular Foundry is a nanoscience research facility at Berkeley Lab that provides visiting researchers (“users”) with access to cutting-edge expertise and instrumentation in a collaborative, multidisciplinary environment. The Molecular Foundry’s 2021 Annual User Meeting will be hosted virtually with...
Aug19

L&S Transfer Welcome: Making the Most of Your Time at UC Berkeley

Zoom Event
  • Sean Burns, Staff Director, Center for Undergraduate Discovery
During the next two years, we want you to launch the next chapter of your life. In this session, we introduce you to strategies for creating powerful learning experiences and building community at UC Berkeley in a way that will support your life goals. Students, staff, and faculty will speak about what it means to be a part of a world-class research university and how you, as new transfer...
Aug31

Making the Most of Your Undergraduate Years: How To Plan Undergraduate Discovery Projects

Zoom Event
  • Sean Burns, Staff Director, Center for Undergraduate Discovery
At UC Berkeley, undergraduates are encouraged to develop their passions into hands-on discovery projects as researchers, artists, community leaders, entrepreneurs, inventors and more. In this workshop, you gain strategies for creating these power learning experiences including how to seek funding for your projects and how to build communities of collaborators and mentors in a way that supports...
Sep01

Making the Most of Your Undergraduate Years: How To Plan Undergraduate Discovery Projects

Zoom Event
  • Sean Burns, Staff Director, Center for Undergraduate Discovery
At UC Berkeley, undergraduates are encouraged to develop their passions into hands-on discovery projects as researchers, artists, community leaders, entrepreneurs, inventors and more. In this workshop, you gain strategies for creating these power learning experiences including how to seek funding for your projects and how to build communities of collaborators and mentors in a way that supports...
Sep10

Deep Learning-Assisted Analysis of Anomalous Nanoparticle Surface Diffusion in Liquid Phase TEM: Nano Seminar Series

180 Tan Hall
  • Dr. Vida Jamali, UC Berkeley, CBE
Beginning with Robert Brown’s original observation in 1828, various techniques have been developed to study the hydrodynamics and interactions of particles in solution. These techniques have inspired or been followed by development of theories that are capable of describing these fundamental aspects of micron-scale particles. Yet, many of the underlying assumptions break down at the nanoscale...
Sep17

Plastics: How Did We Get Here, and What's Next?

180 Tan Hall
  • Prof. Ting Xu, UC Berkeley, Materials Science & Engineering
Future technologies depend on the development of functional materials having: (1) hierarchical structures spanning multi-length scale down to the molecular level, (2) built-in functionalities (biological, optical, electronic, magnetic properties), (3) superior selectivity with sensitivities comparable to what we find in nature, (4) responsiveness to external stimuli. These require one to...
Sep23

Tanner Lectures on Human Values: Excavating “Ground Truth” in AI: Epistemologies and Politics in Training Data

Alumni House
  • Kate Crawford, Miegunyah Distinguished Visiting Fellow, University of Melbourne
  • Trevor Paglen
  • Marion Fourcade, Professor, UC Berkeley, Department of Sociology
  • Angjoo Kanazawa, Assistant Professor, UC Berkeley, Department of EECS
The last decade has seen a dramatic capture of digital material for machine learning production. This data is the basis for sense-making in AI, not as classical representations of the world with individual meaning, but as mass collections: ground truth for machine abstractions and operations. OpenAI’s GPT-3 language model is trained on a corpus of 1 billion words, ImageNet contains over 14...
Sep24

Tanner Lectures on Human Values: Excavating “Ground Truth” in AI: Epistemologies and Politics in Training Data

Alumni House
  • Kate Crawford, Miegunyah Distinguished Visiting Fellow, University of Melbourne
  • Trevor Paglen
  • Marion Fourcade, Professor, UC Berkeley, Department of Sociology
  • Angjoo Kanazawa, Assistant Professor, UC Berkeley, Department of EECS
The last decade has seen a dramatic capture of digital material for machine learning production. This data is the basis for sense-making in AI, not as classical representations of the world with individual meaning, but as mass collections: ground truth for machine abstractions and operations. OpenAI’s GPT-3 language model is trained on a corpus of 1 billion words, ImageNet contains over 14...