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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...

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,...

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...

Safe and Efficient Operation of Energy Systems Through Structured Learning

540 Cory Hall
  • Baosen Zhang, University of Washington
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...

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...

Designing Provably Performant Networked Systems

306 Soda Hall
  • Venkat Arun, Massachusetts Institute of Technology
As networked systems become critical infrastructure, their design must reflect their new societal role. Today, we build systems with hundreds of heuristics but often do not understand their inherent and emergent behaviors. I will present a set of tools and techniques to prove performance properties of heuristics running in real-world conditions. Rigorous proofs can not only inspire...

Berkeley EECS Annual Research Symposium: EECS at 50 Years

Sibley Auditorium Bechtel Engineering Center
You are warmly invited back to campus to attend the Berkeley EECS Annual Research Symposium (BEARS) 2023. BEARS is an opportunity for everyone in the wider UC Berkeley Electrical Engineering and Computer Sciences community to come together to hear about some of our latest research and celebrate the year’s Distinguished Alumni. The 2023 lectures will highlight the department's 50th anniversary....

Additive Manufacturing of Multi-Materials, from Structural to Robotic Materials: Nano Seminar series

277 Cory Hall
  • Prof. Xiaoyu (Rayne) Zheng, UC Berkeley, MSE
Additive manufacturing has shown the promise of freedom of design, enabling parts customization and tailorable properties where superior structural performance can be achieved with a fraction of the weight density compared to bulk materials. However, it is difficult, currently, to combine different materials (structural, dielectric, conducting and ferroelectrics) to create a complex device with...

EECS Colloquium: What’s Next in Quantum Computing

310 Sutardja Dai Hall Sutardja Dai Hall
  • Dario Gil, IBM Research
Dr. Darío Gil is IBM Senior Vice President and Director of Research. Dr. Gil leads the technology roadmap and the technical community of IBM, directing innovation strategies in areas including hybrid cloud, AI, semiconductors, quantum computing, and exploratory science. Dr. Gil is responsible for IBM Research, one of the world’s largest and most influential corporate research labs, with over...

Chirality, Complexity and Graph Theory of Nanostructures: Nano Seminar series

277 Cory Hall
  • Prof. Nicholas A. Kotov, Univ of Michigan, ChemE/BioE/MSE
Since Leonardo Da Vinci, discoveries in science and engineering have been inspired by evolution-optimized geometry of molecules, tissues, and organisms found in biology using non-biological preparatory techniques. Chiral nanostructures – a large and rapidly evolving class of metals, semiconductors, and ceramics - are one of these materials. Besides fascinating optical, catalytic, and biological...