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. 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: 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: 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

System Bits: May 30


Diamonds for quantum computing Quantum computers are experimental devices that offer large speedups on some computational problems, and one promising approach to building them involves harnessing nanometer-scale atomic defects in diamond materials. At the same time, practical, diamond-based quantum computing devices will require the ability to position those defects at precise locations in com... » read more

System Bits: May 2


AI systems echo human prejudices One of the concerns about the of future artificial intelligence systems includes the perception that these machine-based systems are coldly logical and objectively rational, however, this may not be the case. In fact, in a new study by Princeton University researchers has shown how machines can be reflections of their creators in potentially problematic ways. ... » read more

Manufacturing Bits: Jan. 17


GOOI FETs The next-generation power semiconductor market is heating up. Two wide-bandgap technologies—gallium nitride (GaN) on silicon devices and silicon carbide (SiC) MOSFETs—are ramping up in the power semi market. In addition, the industry is also exploring various futuristic technologies, such as bulk vertical GaN, diamond FETs and others. Purdue University has demonstrated another... » read more

Executive Committee Members You Need To Know…


Time is the only critic without ambition. – John Steinbeck Like many things, DAC looks decidedly different depending on where you sit, and how you experience it. As an attendee, it’s mostly a few days at the start of every summer where you can sample some of the best technical content on the design of circuits and systems, plus get the chance to network and have some fun with a worldwide... » read more

System Bits: Nov. 8


Optimizing multiprocessor programs for non-experts While ‘dynamic programming’ is a technique that yields efficient solutions to computational problems in economics, genomic analysis, and other fields, adapting it to multicore chips requires a level of programming expertise that few economists and biologists have. But researchers from MIT’s Computer Science and Artificial Intelligence La... » read more

← Older posts