System Bits: Nov. 14


Tracking cyber attacks According to Georgia Tech, assessing the extent and impact of network or computer system attacks has been largely a time-consuming manual process, until now since a new software system being developed by cybersecurity researchers here will largely automate that process, allowing investigators to quickly and accurately pinpoint how intruders entered the network, what data... » read more

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

System Bits: Oct. 31


Software enables cars to auto-report diagnostics Thanks to researchers at MIT, it may soon be possible to hop into a ride-share car, glance at a smartphone app, and tell the driver that the car’s left front tire needs air, its air filter should be replaced next week, and its engine needs two new spark plugs. [caption id="attachment_409967" align="alignnone" width="300"] A new smartphone a... » read more

System Bits: Oct. 24


Optical communication on silicon chips With the huge increase in computing performance in recent decades achieved by squeezing ever more transistors into a tighter space on microchips, at the same time this downsizing has also meant packing the wiring within microprocessors ever more tightly together. This has led to effects such as signal leakage between components, which can slow down commun... » read more

System Bits: Oct. 17


Piezoelectric, ingestible sensors With an aim to help doctors diagnose gastrointestinal disorders that slow down the passage of food through the digestive tract, MIT and Brigham and Women’s Hospital researchers have built a flexible sensor that can be rolled up and swallowed. Once ingested, the sensor adheres to the stomach wall or intestinal lining, where it can measure the rhythmic con... » read more

System Bits: Oct. 10


Fast-moving magnetic particles for data storage According to MIT researchers, an exotic kind of magnetic behavior discovered just a few years ago holds great promise as a way of storing data — one that could overcome fundamental limits that might otherwise be signaling the end of Moore’s Law. Rather than reading and writing data one bit at a time by changing the orientation of magnetize... » read more

System Bits: Oct. 3


Polariton graphs In a development that a team of researchers from the UK and Russia say could eventually surpass the capabilities of even the most powerful supercomputers, a type of ‘magic dust’ — which combines light and matter — can be used to solve complex problems. Hailing from the University of Cambridge, University of Southampton and Cardiff University in the UK and the Skolk... » read more

System Bits: Sept. 26


Spectroscopic science camera While the latest versions of most smartphones contain at least two and sometimes three built-in cameras, researchers at the University of Illinois would like to convince mobile device manufactures to add yet another image sensor as a built-in capability for health diagnostics, environmental monitoring, and general-purpose color sensing applications.   This comes... » read more

System Bits: Sept. 19


Novel quantum computing architecture invented University of New South Wales researchers have invented what they say is a radical new architecture for quantum computing, based on ‘flip-flop qubits,’ that promises to make the large-scale manufacture of quantum chips dramatically easier. [caption id="attachment_319384" align="alignnone" width="300"] Artist's impression of flip-flop qubit e... » read more

System Bits: Sept. 12


Neural network cautionary tale As machine learning and neural networks proliferate widely today, there is a need to exercise caution in how they are employed, according to Stanford University researchers Michal Kosinki and Yilun Wang. In a study conducted recently, they have shown that deep neural networks can be used to determine the sexual orientation of a person, and caution that this ma... » read more

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