System Bits: June 19


ML algorithm 3D scan comparison up to 1,000 times faster To address the issue of medical image registration that typically takes two hours or more to meticulously align each of potentially a million pixels in the combined scans, MIT researchers have created a machine-learning algorithm they say can register brain scans and other 3D images more than 1,000 times more quickly using novel learning... » read more

System Bits: June 12


Writing complex ML/DL analytics algorithms Rice University researchers in the DARPA-funded Pliny Project believe they have the answer for every stressed-out systems programmer who has struggled to implement complex objects and workflows on ‘big data’ platforms like Spark and thought: “Isn’t there a better way?” Their answer: Yes with PlinyCompute, which the team describes as “a sys... » read more

System Bits: June 5


The right squeeze for quantum computing In an effort to bring quantum computers closer to development, Hokkaido University and Kyoto University researchers have developed a theoretical approach to quantum computing that is 10 billion times more tolerant to errors than current theoretical models. The team said their method may lead to quantum computers that use the diverse properties of sub... » read more

System Bits: May 29


Ultra-low-power sensors carrying genetically engineered bacteria to detect gastric bleeding In order to diagnose bleeding in the stomach or other gastrointestinal problems, MIT researchers have built an ingestible sensor equipped with genetically engineered bacteria. [caption id="attachment_24134598" align="alignleft" width="300"] MIT engineers have designed an ingestible sensor equipped with... » read more

System Bits: May 22


AI disruptions and benefits in the workplace According to Stanford University researchers, artificial intelligence offers both promise and peril as it revolutionizes the workplace, the economy and personal lives. Visiting scholar James Timbie of the Hoover Institution, who studies artificial intelligence and other technologies, said that in the workplace of tomorrow, many routine jobs now p... » read more

System Bits: May 15


Navigating with GPS and sensors According to MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers, navigating roads less traveled in self-driving cars is a difficult task mainly because self-driving cars are usually only tested in major cities where countless hours have been spent meticulously labeling the exact 3D positions of lanes, curbs, off-ramps, and stop signs... » read more

System Bits: May 8


Unlocking the brain Stanford University researchers recently reminded that for years, the people developing artificial intelligence drew inspiration from what was known about the human brain, and now AI is starting to return the favor: while not explicitly designed to do so, certain AI systems seem to mimic our brains’ inner workings more closely than previously thought. [caption id="attach... » read more

System Bits: May 1


Tiniest implanted wireless nerve stimulator UC Berkeley researchers, co-led by Rikky Muller, who is also assistant professor of electrical engineering and computer sciences at Berkeley, have built what they say is the smallest volume, most efficient wireless nerve stimulator to date. Before this milestone, UC Berkeley engineers demonstrated the first implanted, ultrasonic neural dust sensor... » read more

System Bits: April 24


Some superconductors carry spin currents A few years ago, researchers from the University of Cambridge showed that it was possible to create electron pairs in which the spins are aligned: up-up or down-down. The spin current can be carried by up-up and down-down pairs moving in opposite directions with a net charge current of zero, and the ability to create such a pure spin super-current is an... » read more

System Bits: April 17


Smartphone microscopes transformed into lab-grade devices with deep learning UCLA Samueli School of Engineering researchers have demonstrated that deep learning techniques can discern and enhance microscopic details in photos taken by smartphones in order to improve the resolution and color details of smartphone images so much that they approach the quality of images from laboratory-grade mic... » read more

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