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Spy vs. Spy

In the arms race of corporate espionage, one engineer has turned a popular method of data theft against itself

4 min read

According to a rumor in computer security circles, earlier this year, someone at the United States Department of Justice smuggled sensitive financial data out of the agency by embedding the data in several image files. Defeating this exfiltration method, called steganography, has proved particularly tricky, but one engineering student has come up with a way to make espionage work against itself.

Keith Bertolino, founder of digital forensics start-up E.R. Forensics, based in West Nyack, N.Y., developed a new way of disrupting steganography last year while finishing his electrical engineering degree at Northeastern University, in Boston.

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The Future of Deep Learning Is Photonic

Computing with light could slash the energy needs of neural networks

10 min read
Image of a computer rendering.

This computer rendering depicts the pattern on a photonic chip that the author and his colleagues have devised for performing neural-network calculations using light.

Alexander Sludds
DarkBlue1

Think of the many tasks to which computers are being applied that in the not-so-distant past required human intuition. Computers routinely identify objects in images, transcribe speech, translate between languages, diagnose medical conditions, play complex games, and drive cars.

The technique that has empowered these stunning developments is called deep learning, a term that refers to mathematical models known as artificial neural networks. Deep learning is a subfield of machine learning, a branch of computer science based on fitting complex models to data.

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