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The Boston Globe

Prof. Peter Shor and three other researchers have won the Breakthrough Prize in Fundamental Physics for their work in the field of quantum information, reports Martin Finucane for The Boston Globe. Shor “invented the first quantum computer algorithm that was clearly useful. Shor’s algorithm can find the factors of large numbers exponentially faster than is thought to be possible for any classical algorithm,” the Breakthrough Foundation noted in its citation.

Forbes

The Breakthrough Prize Foundation has named Prof. Peter Shor one of the four winners for the Breakthrough Prize in Fundamental Physics for his work in the field of quantum information, reports Michael T. Nietzel for Forbes. “The laureates honored today embody the remarkable power of fundamental science,” says Yuri Milner, one of the prize founders. “Both to reveal deep truths about the Universe, and to improve human lives.”

The Guardian

Prof. Peter Shor, an expert in quantum algorithms, has been named one of four recipients for the Breakthrough Prize in Fundamental Physics, reports Ian Sample for The Guardian.

Scientific American

Prof. Peter Shor has been named one of four honorees for this year’s Breakthrough Prize in Fundamental Physics for his contributions to the field of quantum information, reports Daniel Garisto for Scientific American. All of Shor’s work, “led to new views of quantum mechanics and computing,” writes Garisto. 

Nature

Prof. Peter Shor is one of four winners for this year’s Breakthrough Prize in Fundamental Physics, reports Zeeya Merali for Nature. Merali writes that Shor’s research “laid the groundwork for the development of ultra-secure communications and computers that might one day outperform standard machines at some tasks.”

The Boston Globe

MIT researchers have developed a new in-home device that can help monitor Parkinson’s patients by tracking their gait, reports Hiawatha Bray for The Boston Globe. “We know very little about the brain and its diseases,” says Professor Dina Katabi. “My goal is to develop non-invasive tools that provide new insights about the functioning of the brain and its diseases.”

Popular Science

Popular Science reporter Philip Kiefer writes that MIT researchers have developed an in-home device that could be used to track the progression of symptoms in Parkinson’s patients. “We can’t really ask patients to come to the clinic every day or every week,” explains graduate student Yingcheng Liu. “This technology gives us the possibility to continuously monitor patients, and provide more objective assessments.”

Wired

Research led by Prof. Michael Howland has found that adjusting the orientation of wind turbines on a farm can reduce the wake effect and boost the total output, reports Maria Perez Ortiz for Wired. “Howland and his team’s algorithm first uses atmospheric physics and operational farm data—such as temperature and wind conditions—to estimate the wakes that turbines are creating and how these are impacting other turbines,” writes Ortiz. 

Scientific American

As the early images from the James Webb Space Telescope (JWST) were revealed in July 2022, astronomers such as Hubble Postdoctoral Scholar Rohan Naidu were able to uncover numerous galaxies within them, reports Jonathan O’Callaghan for Scientific American. Naidu recounts how an algorithm he developed “sifted out an object that, on closer inspection, was inexplicably massive and dated back to just 300 million years after the big bang, older than any galaxy ever seen before,” writes O’Callaghan.

E&E News

Prof. Michael Howland speaks with Camille Bond at E&E News about his research, which suggests that finding the ideal position for individual wind turbines could increase the overall efficiency of the entire wind farm. “If we're expanding wind energy quite substantially, it's important that we design the wind farms in the best way and we control them in the best way to achieve that goal,” said Howland.

The Daily Beast

Researchers from MIT are working with the Staten Island Performing Provider System to develop an algorithm that can predict who in the system is at risk for an opioid overdose, reports Maddie Bender for the Daily Beast. “In preliminary testing, Conte’s team and MIT Sloan researchers found their model was highly accurate at predicting overdoses and fatal overdoses, even with delays in the data of up to 180 days,” writes Bender.

Boston.com

MIT scientists have discovered a new method to maximize wind farm output, reports Gwen Egan for Boston.com. “While there are pros and cons to this strategy, it’s possible that it could allow for smaller wind farms that take up less land to produce more energy,” says Prof. Michael Howland. “It’s critically important we do this now, as we embark on building much more offshore wind. We need to ensure that our future wind farms maximize efficiency to increase the pace of decarbonization.”

The Boston Globe

MIT scientists have found that changing the angle of turbine blades on wind farms could increase energy output, reports David Abel for The Boston Globe. “Given the scale of wind deployment needed to achieve state and federal climate goals, we need optimal wind farm performance to ensure efficient, rapid decarbonization,” says Prof. Michael Howland. “Our method resulted in significant energy gains over standard industry operations, and, importantly, it can be instituted with minimal cost.”

Popular Mechanics

The MIT mini cheetah broke a speed record after learning to adapt to difficult terrain and upping its speed, reports Rienk De Beer for Popular Mechanics.

Forbes

MIT researchers have developed a new system that enabled the mini robotic cheetah to learn to run, reports John Koetsier for Forbes. ““Traditionally, the process that people have been using [to train robots] requires you to study the actual system and manually design models,” explains Prof. Pulkit Agrawal. “This process is good, it’s well established, but it’s not very scalable. “But we are removing the human from designing the specific behaviors.”