News

Matthias Vallentin and Colin Scott recognized at Microsoft Research Student Summit

Microsoft Research brought together top-notch computer science PhD student researchers who are about to embark on their careers with researchers and engineers who have proven research and technology impact for the 2-day Student Summit on Mobility, Systems, and Networking. During the summit, students presented their work to an ideal audience--their academic peers and a small group of Corporate Vice President-nominated engineers and researchers from Microsoft’s worldwide labs. Out of the 4 students recognized in the “Best Of” competition, two are from Berkeley EECS: Matthias Vallentin won Best Poster and Colin Scott received Honorable Mention.

Paper by David Culler, Joseph Polastre, Jason Hill Receives SIGMOD Test of Time Award

The paper by Prof. David Culler and former students Joseph Polastre and Jason Hill titled “Versatile low power media access for wireless sensor networks", in the Proceedings of the 2nd international Conference on Embedded Networked Sensor Systems has been selected as a winner of the inaugural SIGMOBILE Test of Time award for 2016. The Berkeley MAC (B-MAC) was a pioneering contribution to media access control in TinyOS-based wireless sensor networks. B-MAC and its underlying low-power listening principle became a facto standard in sensor networks. It plays a lasting role in the development of new low power wireless technologies such as IoT.

Michael Jordan receives IJCAI Research Excellence Award

Prof. Michael Jordan has been selected to receive the 2016 IJCAI (International Joint Conference on Artificial Intelligence) Research Excellence Award. The Research Excellence award is given to a scientist who has carried out a program of research of consistently high quality yielding several substantial results. Professor Jordan is recognized for his groundbreaking and impactful research in both the theory and application of statistical machine learning.

Ken Goldberg shows Rolling Stone how surgical robots are part of the AI revolution

Prof. Ken Goldberg’s “People and Robots” CITRIS (Center for Information Technology Research in the Interest of Society) initiative is in Part 2 of Rolling Stone’s “Inside the Artificial Intelligence Revolution: A Special Report”. One of the projects Prof. Goldberg is working on is the development of surgical robots to do the tedious work, allowing surgeons to focus on the important tasks.

Pieter Abbeel shows Rolling Stone how machine learning is part in the AI revolution

Prof. Pieter Abbeel is featured in a Rolling Stone article titled “Inside the Artificial Intelligence Revolution: A Special Report, Pt. 1”. Algorithms are the basis for modern day computing – data goes in, the computer does its thing, and the algorithm spits out a result. What’s new is that scientists have developed algorithms that reverse this process, allowing computers to write their own algorithms. This is called machine learning and is the idea behind the science of artificial Intelligence.