System Bits: Nov. 7


Exposing logic errors in deep neural networks In a new approach meant to brings transparency to self-driving cars and other self-taught systems, researchers at Columbia and Lehigh universities have come up with a way to automatically error-check the thousands to millions of neurons in a deep learning neural network. Their tool — DeepXplore — feeds confusing, real-world inputs into the ... » read more

Power/Performance Bits: Jan. 24


Printable circuits with silver nanowires Scientists at Duke University compared the conductivity of films made from different shapes of silver nanostructures and found that electrons move through films made of silver nanowires much easier than films made from other shapes, like nanospheres or microflakes. In fact, electrons flowed so easily through the nanowire films that they could function... » read more

System Bits: July 26


Mixing topology, spin MIT researchers are studying new compounds, such as topological insulators (TIs), which support protected electron states on the surfaces of crystals that silicon-based technologies cannot as part of the pursuit of material platforms for the next generation of electronics. They report new physical phenomena being realized by combining this field of TIs with the subfiel... » read more

System Bits: March 29


Cryptographic system for controlling app access to data Researchers at MIT and Harvard University are hoping to change the fact that users of smartphones have no idea which data items their apps are collecting, where they’re stored, and if they’re stored securely with an application they’ve developed called Sieve. With Sieve, a Web user would store all personal data, in encrypted form... » read more