This is the latest in food-related achievements from TUM's Intelligent Autonomous Systems Group, which is part of the PR2 Beta Program. Over the past couple years, they've programmed their robots to learn to make food, including pancakes and Bavarian breakfast.  Instead of programming these tasks directly, their research enables robots to learn how to perform these tasks from instructions on the Internet and other resources.  For more information, see the IEEE Spectrum/Automaton article.

UMBC Professor Alan Sherman, UMBC alumnus Rick Carback (Ph.D. 2010) and many former and current UMBC students helped to develop Scantegrity, an an open source election verification technology for optical scan voting systems. In 2009, their Scantegrity II voting system was used in the election of the mayor and city council members of Takoma Park, Maryland. This was an historic first time any end-to-end voter verifiable voting system with ballot privacy has been used in a binding governmental election.

This week, absentee voters in Takoma Park, Maryland will have the option to cast their votes for mayor and city council using a new Internet voting system called Remotegrity which uses the same approach of generating privacy preserving confirmation numbers that allow each voter to verify her vote is counted and anyone to verify that all the votes were counted correctly. Dr. Carback has played a significant role in helping Takoma Park adopt and use Scantegrity and Remotegrity in the municipal elections.

Internet voting has been used to elect government officials before (for example, in Switzerland, Estonia, and Norway), but what is new here is that voters mail in paper ballots and use the Internet to independently verify that their votes have been received by the city and recorded correctly. Anyone can check online that the recorded votes were tallied correctly.

Dr. Filip Zagorski, computer scientist at The George Washington University, explains ÒThrough the hybrid use of paper ballots and Internet verification, Remotegrity combines the best of both worlds to provide a very high degree of security even against malware and insider attack.Ó Portions of the underlying research in cryptography and secure server design were supported by the National Science Foundation and the Polish Ministry of Science and Higher Education.

Voters who have requested to vote by mail receive a ballot which they mark and mail in, but they can also verify their vote on-line in the Remotegrity system, without revealing how they voted. In future elections, the same online procedure may cast votes and physical mailing of paper ballots may be optional or omitted.

The city will also use the Scantegrity voting system for voters who cast their ballot in person, as it did in 2009. The integrated Scantegrity and Remotegrity systems offer full end-to-end voter-verifiability, in which voters casting ballots from home or in person can verify that their votes were correctly cast, collected, and counted.

Additionally, this year, the city will provide an audio interface for marking ballots. The interface, named Audiotegrity, developed by researchers at The George Washington University, will enable voters with difficulty marking paper ballots to mark ballots independently using an electronic interface. Mr. Noel Runyan, a usability and accessibility expert, provided pro bono design advice to the Audiotegrity team.

With a grant from the federal Election Assistance Commission, and support from the non-profit Voting Systems Institute, researchers from UMBC will survey voters and election officials as well as conduct focus groups around their experiences using these new voting systems.

For more information, see the recent paper by UMBC Ph.D. alumnus Rick Carback et al., Scantegrity II Municipal Election at Takoma Park: The First E2E Binding Governmental Election with Ballot Privacy, or contact Professor Alan Sherman.

This is part one of a three part series on the keynote presentation by Sebastian Thrun and Chris Urmson on self-driving cars at the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Most of us use a car every day. But unlike airplanes, which have been flying on autopilots for decades, cars are still driven manually - just the way they were driven 100 years ago. This talk introduces the transformative concept of a self-driving car. Following early research in the 1990 in Germany and the US, and more recently the DARPA Challenges, this technology has now been advanced to a point where it is within reach of commercial realizations that may provide benefits to pretty much anyone who drives a car. At the core of this progress is a new generation of cutting-edge artificial intelligence, which enables a self-driving car to understand its environment and to interact with other traffic.

The speaker discusses the Google Self-Driving Car project, in which a fleet of self-driving cars navigated more than 160,000 miles on public roads in California and Nevada, including the downtowns of San Francisco and Los Angeles. The speaker also discusses some of the societal implications of this new technology.

In the 1960s, Massachusetts Institute of Technology, AT&T Bell Labs, andGeneral Electric developed an experimental operating system called Multics for the GE-645 mainframe. Multics introduced many innovations, but had many problems.

Bell Labs, frustrated by the size and complexity of Multics but not the aims, slowly pulled out of the project. Their last researchers to leave Multics, Ken Thompson, Dennis Ritchie, M. D. McIlroy, and J. F. Ossanna, decided to redo the work on a much smaller scale. At the time, Ritchie says "What we wanted to preserve was not just a good environment in which to do programming, but a system around which a fellowship could form. We knew from experience that the essence of communal computing, as supplied by remote-access, time-shared machines, is not just to type programs into a terminal instead of a keypunch, but to encourage close communication."

-- from Wikipedia