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Astronomers at MIT and elsewhere have detected a strange and persistent radio signal from a distant galaxy that appears to flicker with surprising regularity. The signal is classified as a rapid radio burst, or FRB — a very powerful burst of radio waves of unknown astrophysical origin, which usually lasts a few milliseconds at most. However, this new signal lasted up to three seconds, about 1,000 times longer than the FRB average. Within this window, the team detected bursts of radio waves that repeated every 0.2 seconds in a clear periodic pattern, similar to a heartbeat. The researchers have labeled the signal FRB 20191221A, and it is currently the most durable FRB, with the clearest periodic pattern, detected to date. The source of the signal lies in a distant galaxy, a few billion light years from Earth. Exactly what the source is remains a mystery, although astronomers suspect the signal could be from a radio pulsar or a magnetar, both types of neutron stars – the cores of...

Astronomers at MIT and universities in Canada and the United States have detected a strange and persistent radio signal from a distant galaxy that seems to flicker with surprising regularity. The signal is classified as a rapid radio burst, or FRB — a very powerful burst of radio waves of unknown astrophysical origin, which usually lasts a few milliseconds at most. However, this new signal lasted up to three seconds, about 1,000 times longer than the FRB average. Within this window, the team detected bursts of radio waves that repeated every 0.2 seconds in a clear periodic pattern, similar to a heartbeat. The researchers have labeled the signal FRB 20191221A, and it is currently the most durable FRB, with the clearest periodic pattern, detected to date. The source of the signal lies in a distant galaxy, a few billion light years from Earth. Exactly what the source is remains a mystery, although astronomers suspect the signal could be from a radio pulsar or a magnetar, both types of ...

It takes a lot of time and money to diagnose Alzheimer’s disease. After running a lengthy face-to-face neuropsychological exam, the doctor must copy, review, and analyze each response in detail. But researchers at Boston University have developed a new tool that could automate the process and eventually allow it to move online. Their machine learning-powered computational model can detect cognitive impairment from audio recordings of neuropsychological-tests; no in-person appointment required. Their findings were published in Alzheimer’s & Dementia: Journal of the Alzheimer’s Association . “This approach brings us one step closer to early intervention,” said Ioannis Paschalidis, co-author of the paper and BU College of Engineering Distinguished Professor of Engineering. He said faster early detection of Alzheimer’s could prompt larger clinical trials that focus on individuals in the early stages of the disease and potentially enable clinica...

By David L. Chandler, Massachusetts Institute of Technology 10 July 2022 Scientists at MIT have developed a method to enable such quantum sensors to detect arbitrary frequencies, without losing their ability to measure nanometer-scale features. MIT MIT stands for Massachusetts Institute of Technology. It is a prestigious private research university in Cambridge, Massachusetts that was founded in 1861. It is organized into five Schools: architecture and planning; manipulation; humanities, arts, and social sciences; management; and science. MIT’s impact includes many scientific breakthroughs and technological advances. Their stated goal is to make the world a better place through education, research, and innovation. ” data-gt-translate-attributes=”[{” attribute=””>MIT engineers expand the capabilities of these ultrasensitive nanoscale detectors, with potential uses for biological sensing and quantum computing Performing computation using quantu...