The start-up Embodied Intelligence and its founders, Prof. Pieter Abbeel and grad students Peter Chen, Rocky Duan, and Tianhao Zhang, are the focus of two news articles: one from the New York Times titled "A.I. Researchers Leave Elon Musk Lab to Begin Robotics Start-Up," and one from Berkeley News titled "Berkeley startup to train robots like puppets."  The start-up is backed by $7 million in funding from Amplify Partners and other investors and will specialize in complex algorithms that allow machines to learn new tasks on their own through extreme trial and error.  The researchers are augmenting the algorithms with a wide range of techniques, like using virtual reality tools to show a robot how to perform a task--translating the movements into digital data.  “With our advances in machine learning, we can write a piece of software once — machine learning code that enables the robot to learn — and then when the robot needs to be equipped with a new skill, we simply provide new data.” Abbeel explains.

EE alumna Jinwen Xiao (Ph.D. '03), now a senior director of engineering at Silicon Laboratories in Austin, Texas, is featured in a My Statesman article titled "Silicon Labs focuses on ‘mature, respectful’ workplace environment."  A computer chip design company, Silicon Labs ranks No. 1 among large employers in the American-Statesman’s 2017 Top Workplaces of Greater Austin project.  Xiao, who was born in China, now heads the 'Internet of Things' product development team of more than 40 people who come from 11 different countries.  The company places a priority on the intellectual development of its employees, providing a mentorship program and encouraging professional expansion.  It also actively fosters a culture of international inclusion and cooperation,  providing support and legal services for employees affected by the Muslim travel ban. "That is part of why this is a great place to work," Xiao says. "The company takes care of its people.”

EECS alumnus Amit Kumar (B.S. '03) and the venture firm Accel are launching a mentorship program called Accel Scholars to support EECS undergraduates.  Accel will work with a select group of students over the course of a year, hosting networking dinners and also guaranteeing the students an internship at a portfolio company.  Kumar initiated the program because he felt there wasn’t enough career guidance for students at Berkeley and that venture firms that ignore the ecosystem are missing out.  Chair James Demmel says EECS is grateful for the opportunity to “partner with Accel and its network to provide a fast-track for an exceptionally talented and diverse cohort of undergraduates, who will benefit from mentorship by Accel but also by and from one another.”

EECS alumnus Eric Schmidt (M.S. '79/Ph.D. '82) will deliver the opening keynote address at the Healthcare Information and Management Systems Society (HIMSS) Conference in March 2018.  Schmidt worked at Bell Labs and Xerox PARC before becoming president of Sun in the 1980s.  Over the next two decades, Schmidt  becamed the CEO of Novel and co-founded Google.  He is currently the Executive Chairman of Alphabet.  His keynote, titled "Technology for a healthier future: Modernization, machine learning and moonshots," will discuss how technological advancements such as cloud computing and machine learning are transforming healthcare.

EE Prof. Alberto Sangiovanni-Vincentelli has been appointed Non-Executive Chairman of UltraSoC, a pioneering semiconductor IP technology start-up based in Cambridge, UK.  The appointment comes as the company drives accelerating adoption of its IP for debug during chip design, and of its embedded intelligent analytics capabilities for monitoring wider system performance on all processor platforms: in particular the open-source RISC-V architecture.  Sangiovanni-Vincentelli helped to found both Cadence Design Systems and Synopsys – the two industry leaders in Electronic Design Automation (EDA).   CEO Rupert Baines says “We are excited to welcome Alberto into the Chairman role and are convinced that his background as a serial entrepreneur and distinguished academic makes him the ideal choice for guiding UltraSoC’s future growth and direction.” UltraSoC’s technology is now enhancing safety, security and power for system design, in applications including automotive, enterprise IT, and the Internet of Things (IoT).

Berkeley DeepDrive (BDD) and Nexar announced the release of 36,000 high frame-rate videos of driving, in addition to 5,000 pixel-level semantics-segmented labeled images, and invited public and private institution researchers to join the effort to develop accurate automotive perception and motion prediction models.  The BDD Industry Consortium, led by EE Prof. Trevor Darrell , investigates state-of-the-art technologies in computer vision and machine learning for automotive applications. Nexar, as a member of the consortium, contributes video and images captured by its road safety AI camera application deployed in over 100 countries worldwide.  The Nexar driving data will be used for academic research (for activities like training and validating models for real world applications) as well as open crowdsourced research challenges based on parts of the driving data.

A team of U.C. Berkeley researchers including Associate Prof. Chunlei Liu, Prof. Ana Arias, and Associate Prof. Michael Lustig, has been awarded a $13.43 million grant by the National Institutes of Health (NIH) as part of the Brain Research through Advancing Innovative Neurotechnologies® (BRAIN) Initiative.  The team will use the money to build the NexGen 7T, an innovative functional magnetic resonance imaging (fMRI) scanner designed to provide the highest resolution images of the brain ever obtained.  Liu, an MR imaging specialist,  is the project co-leader along with physicist David Feinberg of the Helen Wills Neuroscience Institute.  The new scanner, which will boost resolution by a factor of 20, will give neuroscientists the ability to focus on cortical layers where most neuronal circuitry resides as well as to better identify large-scale circuitry connecting different regions of the brain.   Arias is an expert on flexible electronics and Lustig has developed new ways to speed up MRI scanning. The researchers will collaborate with Siemens to insure that the design can be quickly ramped up to produce next-generation scanners for researchers around the world.

EECS alumnus and security expert Alex Stamos (B.S. '01) is profiled in an article in Recode about his role as Facebook's Chief Security Officer.  He is currently leading their internal investigation into Russian meddling in the 2016 presidential election and co-authored a paper explaining how Russia carried out its misinformation campaign. The article describes Stamos's experiences as CSO of Yahoo and his efforts to protect the internet's rank-and-file users. “We’ve been asking people to pay attention to us for over 20 years. And they are,” he said. “We have the world’s attention. What are we going to do with it?”

Alumnus Mark Liu (EE M.S. '80/Ph.D. '83) has been named Chairman of Taiwan Semiconductor Manufacturing Co (TSMC), the world's biggest foundry chipmaker.  He is succeeding Morris Chang, who is retiring.  Chang, known as the "father of Taiwan's chip industry,' built TSMC (an Apple Inc. supplier) into a business worth $185 billion.   Liu had been President and Co-CEO of TSMC since 2013.  The company, which has thrived on booming demand for chips used in smartphones, now seeks to diversify its customer base and move into emerging industries such as artificial intelligence and autonomous driving.

CS alumnus Garth Gibson  (M.S. '84/B.S. '91) has been named CEO of the Vector Institute for Artificial Intelligence in Toronto, Canada.  The newly-formed Vector has received $50-million funding from Ontario and $85-million-plus from more than 30 companies, including Shopify Inc., Magna International Inc., Canada's big banks and U.S. tech giants including Google Inc.  Gibson, who is a native of Canada, has held several senior positions at Pittsburgh's Carnegie Mellon University, where he is a computer-science professor and established the school's Parallel Data Lab and Petascale Data Storage Institute.