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News and Resources for Members of the IEEE Signal Processing Society

Technical Committee News

Claude Shannon has changed electrical engineering, and he was one of the greatest influencers on the field of signal processing. In recent years, there are more stories about his remarkable life.

For more details, please read http://www.thedailybeast.com/claude-shannon-the-juggling-poet-who-gave-us-the-information-age

The U.S. Department of Homeland Security (DHS) has kicked off a challenge to improve the algorithm Transportation Security Administration (TSA) uses to detect airport security threats. The goal of this competition is to reduce the number of false alarms while maintaining high levels of security using image data. This is because when the scanning equipment predicts a potential threat, a TSA agent must engage in a secondary, manual screening process that slows everything down. By reducing false alarms, the passenger experience can be greatly improved.

A recent article by MIT Technology Review describes how artificial intelligence is changing a workforce in many companies today. In particular, they present the case of General Electric and its workforce. This interesting piece can be found at https://www.technologyreview.com/s/607962/general-electric-builds-an-ai-workforce/  and it is worth reading especially for all of us in the signal processing community. It will be interesting to see how artificial intelligence will shape our community.

The IEEE BMC reports on a new journal proposal, the IEEE Transactions on Biometrics, Behavior, and Identity Science and the IEEE Conference on Biometrics Theory, Application and Systems

Researchers at the University of California, Riverside, have developed a new navigation system that is based entirely on existing terrestrial signals, such as cellular and Wi-Fi, rather than GPS. The new technology, which the researchers claim is both highly reliable and accurate, can function as a standalone alternative to GPS or as an alternative to satellite signals to enable highly reliable, consistent, and tamper-proof navigation in autonomous systems, such as robots, driverless terrestrial vehicles, and unmanned aerial vehicles.

Google has launched a new artificial intelligence experiment named AutoDraw. It uses the same technology used in QuickDraw, to guess what you are trying to draw by matching your doodles with a database of professional drawings. Please visit https://www.autodraw.com to start creating.

 

 

AutoDraw: Fast Drawing for Everyone.

For our May 2017 issue, we cover recent patents dealing with signal processing applications of neural networks. Patent no 9,627,532 presents methods and apparatus for training a multi-layer artificial neural network for use in speech recognition.

Read about the IEEE Video and Image Processing (VIP) Cup which has the goal of implementing traffic sign detection algorithms that can robustly perform under challenging environmental conditions.

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