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

System Bits: Sept. 5


Reducing power consumption of datacenter caches As is commonly understood, most websites store data in databases, and since database queries are relatively slow, most sites also maintain so-called cache servers, which list the results of common queries for faster access, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) reminded. They noted that a data ce... » read more

System Bits: Aug. 29


Could video goggles, and a tiny implant cure blindness? Incredibly, the world of medical research is on the verge of curing blindness. Similar to cochlear implants for deaf people, Stanford University scientists and engineers are developing new devices to this end, including a bionic vision system based on photovoltaic implants, which is awaiting approval for human clinical trials in Europe. A... » read more

System Bits: Aug. 22


Bioimaging technique tracks multiple in vivo interactions To make it possible to quickly and economically monitor multiple molecular interactions in a large area of living tissue – such as an organ or a small animal — Rensselaer Polytechnic Institute researchers have created an approach to optical imaging that could have applications in medical diagnosis, guided surgery, or pre-clinical dr... » read more

System Bits: Aug. 15


Machine-learning system for smoother streaming To combat the frustration of video buffering or pixelation, researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed “Pensieve,” an artificial intelligence system that uses machine learning to pick different algorithms depending on network conditions thereby delivering a higher-quality streaming exp... » read more

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