Barbara Grosz joins the Embedded EthiCS team

1997 Distinguished CS Alumna Barbara Grosz (M.S. '71/Ph.D. '77, adviser: Martin Graham), the Higgins Professor of Natural Sciences at Harvard, is part of the Embedded EthiCS @ Harvard team, which aims to bring  "ethical reasoning into the computer science curriculum."  Embedded EthiCS  is a collaboration between philosophers and computer scientists at Harvard, led by faculty from both fields. Post-doctoral fellows and advanced graduate students meet weekly for a teaching lab to develop Embedded EthiCS modules.  The aim of Embedded EthiCS is to teach students to consider not merely what technologies they could create, but whether they should create them.  "The Embedded EthiCS distributed pedagogy embeds philosophers directly into computer science courses to teach students how to think through the ethical and social implications of their work."

Bin Yu looks at AlphaZero

CS Prof. Bin Yu was interviewed by PBS Nova about AlphaZero, Google’s self-teaching artificial intelligence software.   The article probes whether there's more to human intelligence than can be mastered by learning how to win games--which AlphaZero can teach itself to do in a matter of hours.   The process requires a great deal of computing power and uses a lot more energy than the human brain.  Yu observes that absolute energy consumption must be considered when evaluating the software, although AlphZero is clearly very fast and flexible.   “It’s impressive that AlphaZero was able to use the same architecture for three different games,” she says.

"Mother of All Demos" 50th anniversary

On December 9, 2018, the Computer History Museum is celebrating the 50th anniversary of the famous presentation by alumnus Douglas Engelbart dubbed the "Mother of All Demos."  On December 9, 1968, Engelbart (BS ‘52/MS ‘53/Ph.D. '55, adviser: Paul Morton) demonstrated real-time human interaction with a computer for the first time.  His radical presentation introduced the world to the computer mouse, word processing, and clickable hypertext links, and became the benchmark for how entrepreneurs pitch ideas to investors.  The museum is holding an all-day symposium to honor the event.

Kim Keeton and Tom Funkhouser named ACM Fellows

Computer Science alumni Kimberly Keeton (M.S. '94/Ph.D. '99, adviser: David Patterson) and Thomas Funkhouser (M.S. '89/Ph.D. '93, adviser: Carlo Séquin) have been elected 2018 Fellows of the Association for Computing Machinery (ACM).  Keeton, who works at Hewlett Packard Laboratories, was elected "For contributions to improving the dependability, manageability, and usability of storage and novel memory."  Funkhouser, of Princeton University and Google, was elected "For research contributions in computer graphics."

Krste Asanović and Peter Bartlett named ACM Fellows

CS Profs. Krste Asanović and Peter Bartlett have been named 2018 Fellows of the Association for Computing Machinery (ACM).  ACM Fellows are composed of an elite group that represents less than 1% of the Association’s global membership.  Asanović was named "For contributions to computer architecture, including the open RISC-V instruction set and Agile hardware."  Bartlett was named "For contributions to the theory of machine learning."

Stuart Russell wins AAAI Feigenbaum Prize

CS Prof. Stuart Russell has the won the 2019 Association for the Advancement of Artificial Intelligence (AAAI )Feigenbaum Prize.  Named for AI pioneer Edward Feigenbaum, the prize is awarded biennially "to recognize and encourage outstanding Artificial Intelligence research advances that are made by using experimental methods of computer science."  Russell won in recognition of his "high-impact contributions to the field of artificial intelligence through innovation and achievement in probabilistic knowledge representation, reasoning, and learning, including its application to global seismic monitoring for the Comprehensive Nuclear-Test-Ban Treaty."  The award will be presented in early 2019 at the Thirty-Third Annual AAAI Conference on Artificial Intelligence (AAAI-19) in Honolulu, Hawaii.

Q&A with Raluca Ada Popa

CS Assistant Prof. Raluca Ada Popa is interviewed by TechTarget for an article titled "The future of data security threats and protection in the enterprise."  Popa is the co-founder of the RISElab as well as co-founder and CTO of PreVeil, a security startup providing enterprise end-to-end encryption for email and filing sharing.  In the Q&A, Popa discusses the future of data security and the challenges of ensuring adequate defense.

IIT establishes Soumitra Dutta Chair in Artificial Intelligence

The Indian Institute of Technology (IIT) has established "The Soumitra Dutta Chair in Artificial Intelligence," named for CS alumnus Soumitra Dutta (M.S. '87/Ph.D. '90 adviser: Lotfi Zadeh), "to promote excellence and leadership in teaching, research, and development in the field of artificial intelligence and to facilitate wider and deeper interaction between the industry and IIT Delhi faculty and students."  Dutta, the founding Dean of the SC Johnson College of Business at Cornell University, is  best known for being the architect of the Global Innovation Index.

Diane Greene makes Americas 50

CS alumnus Diane Greene (M.S. '88), the CEO of Google Cloud, has been named to Data Economy's list of Americas 50: The world’s first top 50 North, Central and South American influencers.  The list highlights "personalities who are leading data centres, cloud, edge computing and data through charting new innovations or technological breakthroughs, sheer investment or business acumen, or exceptional entrepreneurial skillsets."

UC Berkeley’s Fastest-Growing Class Is Data Science 101

The Wall Street Journal has published an article titled "UC Berkeley’s Fastest-Growing Class Is Data Science 101," about the creation of the new Division of Data Science and Information at Berkeley.  It discusses the popular introductory course Data Sciences 101, the new Data Science major,  and how the field of Data Science is exploding.   "Berkeley’s goal isn’t just to train data scientists, but to get students from other disciplines, including the humanities and social sciences, to also learn what a data orientation can do for their work."