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Research News

December 20, 2017

'Negative capacitance' could bring more efficient transistors

Researchers have experimentally demonstrated how to harness a property called negative capacitance for a new type of transistor that could reduce power consumption, validating a theory proposed in 2008 by a team at Purdue University.
November 15, 2017

Game theory harnessed for cybersecurity of large-scale nets

Researchers have laid the groundwork for a method to improve cybersecurity for large-scale systems like the power grid and autonomous military defense networks by harnessing game theory and creating new intelligent algorithms.
November 12, 2017

System uses 'deep learning' to detect cracks in nuclear reactors

Purdue University researchers are developing a new system using deep learning to detect cracks captured in videos of nuclear reactors. This work represents the future of inspection technology, which could reduce accidents and maintenance costs.
October 30, 2017

New 'Furion' software allows untethered high-quality VR

The virtual reality industry is faced with a conundrum: Users must be tethered to a server or PC in order to play high-quality apps.

At the same time, next-generation smartphones and wireless networks will not be advanced enough to sever the tether, say researchers who propose a new software platform to solve the problem.
October 24, 2017

Purdue develops 'intrachip' micro-cooling system

Researchers, including ECE professors David Janes and Dimitrios Peroulis, have developed a new type of cooling system for high-performance radars and supercomputers that circulates a liquid coolant directly into electronic chips through an intricate series of tiny microchannels.
October 23, 2017

Researchers demonstrate ‘mind-reading’ brain-decoding tech

Prof. Zhongming Liu and a team of researchers have demonstrated how to decode what the human brain is seeing by using artificial intelligence to interpret fMRI scans from people watching videos, representing a sort of "mind-reading" technology.
October 19, 2017

NSF awards $3.5 million grant to build powerful web platform for data-driven science

A team including co-PI Professor Ashraf Alam has been awarded a four-year, $3.5 million grant from the National Science Foundation to build a web platform that provides a full spectrum of data services, connects data to computational resources and statistical software, and tracks research workflows to link data, algorithms and results.
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