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Home > News

Electrical engineering

Illustration showing a magnifying glass on planet Earth, which is surrounded by rockets in the air, trees and scientific images. A team at UC Berkeley has created a new statistical technique that allows researchers to safely use the predictions obtained from machine learning to test scientific hypotheses. This image shows an artistic interpretation of the technique, called prediction-powered inference, which has been generated by the DALL-E AI system.

How to use AI for discovery — without leading science astray

11/09/23 — Berkeley researchers present new statistical technique for safely using predictions obtained from machine learning models to test scientific hypotheses
Transmission electron microscope (TEM) images of the new 2D nanosheet as a barrier coating that self-assembles on a variety of substrates. The TEM experiments were conducted at UC Berkeley’s Electron Microscope Laboratory.

Scaling up nano for sustainable manufacturing

11/08/23 — Berkeley Lab: Scientists, led by Berkeley engineer Ting Xu, have developed multipurpose, recyclable nanosheets for electronics, energy storage, and health and safety applications
Sculptor Dana King poses with her bust of electrical engineering professor Joseph Gier.

Unearthing a legacy

11/06/23 — A new sculpture outside Blum Hall honors engineering professor Joseph Gier, the first tenured Black professor in the UC system.
Photo of Kirk Tramble (B.S.

Kirk Tramble (B.S.’93 EECS) is new president of Cal Alumni Assoc. board of directors

11/02/23 — CAA: In a Q&A, Tramble discusses his deep connections to UC Berkeley, including co-founding the Black Engineering and Science Alumni Club
Stock photo of an electronic circuit

Women leaders at six top research universities urge more diversity in semiconductor workforce

10/23/23 — Science: Dean Tsu-Jae King Liu part of new consortium aiming to improve training in microelectronics to meet increased demand
Photo of Linsey Marr (M.S.

Berkeley Engineering alums among winners of MacArthur Foundation’s ‘genius award’

10/18/23 — UC Newsroom: Linsey Marr (M.S.'97, Ph.D.'02 CEE) and Lester Mackey (Ph.D.'12 CS) recognized for bringing outstanding originality, dedication and drive to their fields
Artist

Berkeley Space Center at NASA Ames to become innovation hub for new aviation, space technology

10/16/23 — UC Berkeley will develop a 36-acre site to house companies, labs and students in heart of Silicon Valley; learn more about the Berkeley Space Center
Photo of office interior, with ceiling fans and workers at tables, that served as a laboratory. Researchers controlled air conditioners and ceiling fans as part of a study.

Hybrid cooling leads to 32% energy savings in tropical office buildings — without sacrificing comfort

10/12/23 — CITRIS: Berkeley researchers, academic partners in Singapore combine ceiling fans with higher AC set points
Bronze bust of mechanical engineer Joseph Thomas Gier in the Blum Hall courtyard

‘Shoulders to stand on’

09/22/23 — Daily Cal: Statue of Berkeley engineer Joseph Thomas Gier, UC system's first tenured Black professor, unveiled in Blum Hall courtyard
Photo of EECS professor Alberto Sangiovanni-Vincentelli.

Q&A: Alberto Sangiovanni-Vincentelli on co-founding Cadence and Synopsys

09/20/23 — DIGITIMES Asia: Berkeley Engineering professor recounts establishing the world's two largest electronic design automation companies, shares innovative projects that he is pursuing
Photo of a whale

Can we talk to whales?

09/06/23 The New Yorker — The New Yorker: Berkeley engineer Shafi Goldwasser explores how artificial intelligence may allow us to speak to other species
Sanjam Garg, Ronald Fearing and Phillip Messersmith

Three Berkeley Engineering professors selected for Bakar Fellows Spark Awards

08/31/23 Berkeley News — Awards will provide support for innovative research in cryptography, robotics and medicine
Image of woman with binary code superimposed on her face.

Stuart Russell: Generative AI tools are quickly ‘running out of text’ to train themselves on

07/14/23 Insider — Business Insider: UC Berkeley professor of electrical engineering and computer sciences concerned that AI's strategy behind training large language models is "starting to hit a brick wall"
Stock photo of an electronic circuit

Northwest University Semiconductor Network plans to build semiconductor workforce of the future

06/13/23 — UC Berkeley among 13 universities partnering with government and industry “to expand the educational opportunities for students to graduate with the skills and knowledge needed to meet this moment in our nation’s history”
Photo of Gridscope mounted to a power pole in a snowy, mountainous area. (Photo courtesy Gridware)

CITRIS Foundry alumni innovate for a more sustainable world

06/01/23 — CITRIS: Startups founded by Berkeley engineers work to combat climate change, improve energy efficiency and develop more sustainable solutions
Headshots of Hannah Stuart (left) and Grigory Tikhomirov

Two Berkeley Engineering professors earn NSF CAREER Awards

05/24/23 — Hannah Stuart and Grigory Tikhomirov recognized for research with real-world impact
Gridware engineers on a utility truck

On the grid

05/17/23 — A device from Gridware, founded by engineering alums, uses harmonics from power poles to evaluate grid integrity and hazard risks.
Image of an array of light-emitting devices with 49 different, individually addressable colors.

Berkeley engineers develop multicolored light-emitting array on a single chip

05/10/23 — With limitless colors, device may lead to advances in spectroscopy
Yakun Sophia Shao and Gireeja Ranade

Two EECS professors recognized with NSF CAREER Awards

05/02/23 — Honors for Gireeja Ranade and Yakun Sophia Shao are among the agency’s most competitive for early career professionals
Still image of EECS professor Sergey Levine discussing how advances in offline reinforcement learning can enable machine learning systems to learn to make more optimal decisions from data.

A path to resourceful autonomous agents

05/01/23 — In latest AI lecture, EECS professor Sergey Levine discusses how advances in offline reinforcement learning can enable machine learning systems to learn to make more optimal decisions from data
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