Researchers Leverage Pathogen “Fingerprints” in Blood to Accelerate Infection Diagnosis

MEDIA ADVISORY   UNDER EMBARGO UNTIL DECEMBER 21, 2022 in Cell Systems   Corresponding Authors: Elena Zaslavsky, PhD, Associate Professor of Neurology, Icahn School of Medicine at Mount Sinai; Steven H. Kleinstein, PhD, Anthony Brady Professor of Pathology at Yale School of…

Solving algorithm ‘amnesia’ reveals clues to how we learn

A discovery about how algorithms can learn and retain information more efficiently offers potential insight into the brain’s ability to absorb new knowledge. The findings by researchers at the University of California, Irvine School of Biological Sciences could aid in combatting cognitive impairments and improving technology.

PNNL AI Expert Harnesses Open-Source Data to Understand Human Behavior

PNNL researchers used natural language processing and deep learning techniques to reveal how and why different types of misinformation and disinformation spread across social platforms. Applied to COVID-19, the team found that misinformation intended to influence politics and incite fear spreads fastest.

$13.48M Awarded To Johns Hopkins Scientists To Develop Implantable Ultrasound Devices For Patients With Spinal Cord Injury

A team of Johns Hopkins neurosurgeons and biomedical engineers has received $13.48 million from the Defense Advanced Research Projects Agency (DARPA) to develop implantable ultrasound and other devices that could revolutionize care for people suffering from spinal cord injuries. The results could benefit thousands of U.S. service members and civilians who sustain spinal cord injuries every year.

“One-Way” Electronic Devices Enter the Mainstream

Columbia engineers are the first to build a high-performance non-reciprocal device on a compact chip with a performance 25 times better than previous work. The new chip, which can handle several watts of power (enough for cellphone transmitters that put out a watt or so of power), was the leading performer in a DARPA SPAR program to miniaturize these devices and improve performance metrics.

Penn State engineer receives DARPA grant to strengthen cybersecurity

A parser, the element in a computer system that converts data inputs into an understandable format, is the first line of defense for cybersecurity. A multi-institute group of researchers that includes Gang Tan, assistant professor of computer science and engineering in the School of Electrical Engineering and Computer Science at Penn State, has received an $8 million grant that allots $1 million for Penn State’s part of the research to increase computer security by developing more secure parsers.