In this forthcoming Cornell Law Review paper, Stanford legal scholars Bryan Casey and Mark Lemley discuss the definition of "robots" run by "artificial intelligence" and how humans may be treated as a robots under certain laws. The pace of technical change makes the likelihood of legal scholars agreeing on how to distinguish humans from machines unlikely.
Stanford's newly launched Public Interest Technology University Network, a partnership convened by the Ford Foundation, Hewlett Foundation and public policy think tank New America and 20 other colleges and universities will be developing a new generation of civic-minded technologists and bridging the gap between technology and public service.
Four scholars on artificial intelligence and the economy recently told an audience at the Stanford Graduate School of Business that while robots may not be coming for your job, concerns over growing inequality and lack of opportunity for many in the labor force are serious points to be addressed. Advances in AI and machine learning will become more of a challenge to the workforce but for now anyway, "humans are underrated."
Students were busy this past week during Stanford's spring break working on the carbon fiber layups. See here for the latest updates from the array, battery, electrical and mechanical teams. Check out their blog and Instagram page for more updates as the new vehicle for the 2019 Bridgestone World Solar Challenge comes together.
Stanford researchers have developed a prototype that generates hydrogen fuel from seawater using solar power. By coating the anode with layers that were rich in negative charges the team was able to stop the seawater salt from breaking down the submerged anodes. Without the risk of corrosion from salts, the device matched current technologies that use purified water.
John Etchemendy, Provost Emeritus, Professor, Humanities and Science and Fei-Fei Li, Professor, Computer Science, leaders of a newly established institute on campus to advance AI research, education, policy and practice to improve the human condition started the discussion for HAI in Fei-Fei's driveway 3 years ago.
A team of researchers from MIT and Stanford have developed a machine learning method that could accelerate research and development of new battery designs and reduce production costs, among other applications. The machine learning model was trained with a few hundred million data points of batteries charging & discharging. The algorithm predicted battery life expectancy and has other applications for fast charging and validating new types of batteries.
What does a barrel falling out of a warehouse in the 1800s have to do with liability for emerging automated vehicles? Bryan Casey — a Lecturer at Stanford Law School and a Fellow at CARS — will argue that a string of cases dating back to the industrial revolution actually provides an elegant solution for resolving complex questions of fault that lie at the heart of AV accidents. The webinar will track Bryan Casey’s forthcoming Article, Robot Ipsa Loquitur , featured in the Georgetown Law Journal . Join us on Friday, June 14 at noon.
The Mechanical Engineering Design Group invites you to celebrate student design work on June 6 at the Stanford Design EXPErience. Classes will showcase final projects from 9:00 - 5:00 PM PDT.
The 47th Annual Northern California Electronic Materials Symposium, co-sponsored by TMS and IEEE Santa Clara Valley Section, will be held at Stanford University ( Allen 101x Auditorium ) on Friday, May 10, 2019.
