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  Machine Learning Researchers Try to Improve Working Conditions for Amazon's Mechanical Turk Workers
 
Amazonís Mechanical Turk is named after a machine that appeared to be a chess-playing automaton, but was really controlled by a person hidden inside. Like the original Mechanical Turk, Amazonís service is a platform for seemingly automated tasks that are really completed by human workers. Chris Callison-Burch, Associate Professor in Computer and Information Science, developed a Google Chrome plug-in that helps Turk workers pick out better-paying tasks.
 
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  Taking Penn Engineering Technology to Market
 
Boon Thau Loo, professor in the Department of Computer and Information Science (CIS) and associate dean of Masterís and Professional Programs, acknowledges that there is a divide between the worlds of academia and industry. By collaborating on the CIS departmentís first-ever spinoff, a startup called Netsil, Loo and his lab members gained the skills to cross that chasm.
 
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  Penn Engineering 2018 Teaching Awards
 
Santosh Venkatesh, Professor, and Lee Bassett, Assistant Professor, in Electrical and Systems Engineering and Arvind Bhusnurmath, Lecturer in Computer and Information Science, have been named recipients of the Penn Engineering 2018 Teaching Awards. The annual Penn Engineering teaching and advising awards are selected directly by Penn Engineering students after thoughtful consideration.
 
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  Shivani Agarwal: Looking at Machine Learning from All Angles
 
Shivani Agarwal's, Rachleff Family Associate Professor in Computer and Information Science, research encompasses exploring the fundamental strengths and weaknesses of machine learning methods and discovering its connections to other disciplines, like economics and psychology. The goal of machine learning is for a computer to ďlearnĒ to perform a task without specific instructions.
 
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Penn Engineering Blog

Penn Engineering is now on Medium. Follow the blog to stay up-to-date on the latest research coming out of Penn Engineering labs — from bio-inspired robots, to gun-violence-tracking databases, to catalysts for green energy — and to hear from students as they work on projects locally, nationally and around the world.