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New Scientist

MIT scientists have found that the “motions of undulating animals and the states of quantum objects can be described using strikingly similar equations,” writes Karmela Padavic-Callaghan for New Scientist. The similarity “allowed the team to use mathematical tools previously developed by quantum physicists to analyze the animals,” notes Padavic-Callaghan. “For instance, the team quantified how differently a snake-like robot and a C. elegans move and created a diagram that placed them on a spectrum of other undulating creatures.”

NBC Boston

NBC Boston’s Jeff Saperstone visits MIT to learn more about how researchers discovered that a common hydrogel used in cosmetic creams, industrial coatings and pharmaceutical capsules can absorb moisture from the atmosphere as the temperature rises. The material could one day be used to harvest moisture for drinking water or feeding crops. “For a planet that's getting hotter, this could be a game-changing discovery,” Saperstone notes.

The New York Times

New York Times reporter Natasha Singer spotlights the Day of AI, an MIT RAISE program aimed at teaching K-12 students about AI. “Because AI is such a powerful new technology, in order for it to work well in society, it really needs some rules,” said MIT President Sally Kornbluth. Prof. Cynthia Breazeal, MIT’s dean of digital learning, added: “We want students to be informed, responsible users and informed, responsible designers of these technologies.”

TechCrunch

Meghan Maupin MS ’18 has been named CEO of OurX, a Black hair care company that “taps into six years of research and data mining to create hair regimens and education for the scalp and tightly textured hair,” reports Christine Hall for TechCrunch.

The Wall Street Journal

Founded by MIT engineers, CubicPV is building a solar-component factory, reports Phred Dvorak for The Wall Street Journal. CubicPV’s process “peels a thin layer of crystallized silicon off the top of the molten material, a technique the company says is faster, cheaper and less wasteful,” explains Dvorak.

Wired

Researchers at MIT have developed an ingestible pill that can raise levels of hormones to help increase appetite and decrease nausea, reports Maggie Chen for Wired. The researchers “hope that it can one day act as an effective noninvasive therapy for those who experience gastroparesis—or other eating disorders—essentially being a temporary switch that can be activated to drive hunger and digestion,” writes Chen.

GBH

Institute Prof. Daron Acemoglu and Prof. Aleksander Mądry join GBH’s Greater Boston to explore how AI can be regulated and safely integrated into our lives. “With much of our society driven by informational spaces — in particular social media and online media in general — AI and, in particular, generative AI accelerates a lot of problems like misinformation, spam, spear phishing and blackmail,” Mądry explains. Acemoglu adds that he feels AI reforms should be approached “more broadly so that AI researchers actually work in using these technologies in human-friendly ways, trying to make humans more empowered and more productive.”

The Boston Globe

VulcanForms, an MIT startup, is at the “leading edge of a push to transform 3-D printing from a niche technology — best known for new-product prototyping and art-class experimentation — into an industrial force,” writes David Scharfenberg for The Boston Globe. Scharfenberg notes that VulcanForms “could help usher in something new — a high-tech industrialism aimed straight at the country’s most pressing problems.”

The Washington Post

MIT researchers have developed a new method to make chatbots more factual, reports Gerrit De Vynck for The Washington Post. “The researchers proposed using different chatbots to produce multiple answers to the same question and then letting them debate each other until one answer won out,” explains Vynck. “The researchers found using this ‘society of minds’ method made them more factual.”  

USA Today

Researchers from MIT and McMaster University have used artificial intelligence to identify a new antibiotic that can fight against a drug-resistant bacteria commonly found in hospitals and medical offices, reports Ken Alltucker for USA Today. The researchers believe the AI “process used to winnow thousands of potential drugs to identify one that may work is an approach that can work in drug discovery,” writes Alltucker.

The World

Researchers from MIT and elsewhere have used artificial intelligence to develop a new antibiotic to address Acinetobacter baumannii, a bacteria known for infecting wounds, lungs and kidneys, reports Harland-Dunaway for The World.

CNN

Using a machine-learning algorithm, researchers from MIT and McMaster University have discovered a new type of antibiotic that works against a type of drug-resistant bacteria, reports Brenda Goodman for CNN. Goodman notes that the compound “worked in a way that stymied only the problem pathogen. It didn’t seem to kill the many other species of beneficial bacteria that live in the gut or on the skin, making it a rare narrowly targeted agent.”

The Guardian

Researchers from MIT and McMaster University used a machine-learning algorithm to identify a new antibiotic that can treat a bacteria that causes deadly infections, reports Maya Yang for The Guardian. The researchers used an “AI algorithm to screen thousands of antibacterial molecules in an attempt to predict new structural classes. As a result of the AI screening, researchers were able to identify a new antibacterial compound which they named abaucin,” writes Yang.