Writing for The Washington Post, Brian Deese, an MIT innovation fellow, lays out a framework for responding to China’s focus on increasing manufacturing. “The United States should send a clear message that the world will not absorb the costs of these distortionary policies,” Desse writes, “and should work with our allies toward a more durable framework for global growth.”
MIT researchers have uncovered the “photomolecular effect,” a process “that demonstrates for the first time that water can evaporate with no source of heat using light alone,” reports Anthony Cuthbertson for The Independent. The “discovery could impact everything from climate change calculations to weather forecasts, while also opening up new practical applications for things like energy and clean water production,” writes Cuthbertson.
Interesting Engineering reporter Rizwan Choudhury spotlights a new study by MIT researchers that finds light can cause evaporation of water from a surface without the need for heat. The photomolecular effect “presents exciting practical possibilities,” writes Choudhury. “Solar desalination systems and industrial drying processes are prime candidates for harnessing this effect. Since drying consumes significant industrial energy, optimizing this process using light holds immense promise.”
Researchers from MIT and elsewhere have found that a sequence of rocks from the Isua Supracrustal Belt in Greenland contain “an ironclad record of the early Earth’s magnetic field,” reports Keith Cooper for Space.com. “The new results from the Greenland rocks are considered more reliable because, for the first time, they are based on entire iron-bearing rocks (rather than individual mineral crystals) to derive the primordial field strength,” explains Cooper. “Therefore, the sample offers the first solid measure of not only the strength of Earth's ancient magnetic field, but also of the timing of when the magnetic field originally appeared.”
MIT researchers have “discovered hitherto unknown space molecule while investigating a relatively nearby region of intense star birth,” reports Robert Lea for Space.com. This discovery “revealed the presence of a complex molecule known as 2-methoxyethanol, which had never been seen before in the natural world, though its properties had been simulated in labs on Earth,” writes Lea.
MIT researchers have developed a machine-learning accelerator chip to make health-monitoring apps more secure, reports Aman Tripathi for Interesting Engineering. “The researchers subjected this new chip to intensive testing, simulating real-world hacking attempts, and the results were impressive,” explains Tripathi. “Even after millions of attempts, they were unable to recover any private information. In contrast, stealing data from an unprotected chip took only a few thousand samples.”
Writing for Project Syndicate, Institute Prof. Daron Acemoglu and Prof. Simon Johnson draw upon the work of economist David Ricardo and his insights on the Industrial Revolution to explore how to respond to the challenge posed by AI to good jobs. “It is still possible to have pro-worker AI, but only if we can change the direction of innovation in the tech industry and introduce new regulations and institutions,” they write.
Writing for MIT Technology Review, Georgina Gustin chronicles the research journey of Polina Anikeeva, the MIT scientist and engineer who developed flexible brain probes to stimulate neurons and potentially treat neurological disorders. In 2017, Anikeeva became fascinated by the hypothesis that Parkinson’s might be linked to pathogens in the digestive system. Today she and her team use specialized devices to explore the brain-gut connection. “This is a new frontier,” Anikeeva says.
Researchers at MIT have developed a new measure called “outdoor days,” which describes the number of days per year in which temperatures are comfortable enough for outdoor activities in specific locations around the world, reports Lebawit Lily Girma for Bloomberg News. “Changes in the number of outdoor days will impact directly how people around the world feel climate change,” says Prof. Elfatih Eltahir.
GiveDirectly, a nonprofit co-founded by MIT and Harvard alumni, works with “economists to identify the most efficient ways to reduce poverty,” reports Katharine Houreld for The Washington Post. “Lump sums are the most efficient way to give cash, according to a study of GiveDirectly programs released in December that compared the impact of three methods,” explains Houreld. “Two years in, recipients of the lump sum have spent more money on health care, and more of their children have scored better on school exams, according to the study by MIT economics professor Abhijit Banerjee and others."
Writing for Forbes, Prof. Christian Catalini makes the case that when it comes to today’s digital infrastructure, from AI and robotics to financial services and digital marketplaces, “if the United States wants to continue to lead, it needs to create the right conditions for competition to thrive. Like in the early days of the internet, this starts with policymakers embracing and nurturing a novel architecture based on open protocols.”
Joseph Coughlin, director of the MIT AgeLab, speaks with PRX’s On Shifting Ground podcast host Ray Suarez about the potential impacts of greater life expectancy. “You are going to see a lot more technology in old age,” says Coughlin. “Not simply to remind you to take your meds or take your blood pressure, but actually to enable you to stay in your home longer, to bring information to you, to make things more convenient.”
Prof. Jonathan Gruber speaks with Boston Public Radio hosts Jim Braude and Margery Eagan to explain the relationship between inflation and interest rates. “What’s driving the inflation recently is auto insurance prices,” says Gruber. “Why are insurance prices going up? It actually comes back to the Fed. Auto insurers make a profit in two ways. One is by charging you more than they’ll pay out and the other is investing money and getting rates of return on that money.”
Bloomberg Opinion columnist Parmy Olson spotlights a new study by MIT researchers that finds AI chatbots can be highly persuasive when reinforced with facts and could potentially be used to help tackle conspiracy theories. “The scientists invited more than 2,000 people who believed in different conspiracy theories to summarize their positions to a chatbot — powered by OpenAI’s latest publicly available language model — and briefly debate them with the bot,” Olson writes. “On average, participants subsequently described themselves as 20% less confident in the conspiracy theory; their views remained softened even two months later.”
Researchers at MIT have found that AI can “be remarkably persuasive when reinforced with facts,” reports Parmy Olson for Bloomberg. “The scientists invited more than 2,000 people who believed in different conspiracy theories to summarize their positions to a chatbot — powered by OpenAI’s latest publicly available language model — and briefly debate them with the bot,” explains Olson. “On average, participants subsequently described themselves as 20% less confident in the conspiracy theory; their views remained softened even two months later.”