DragonBot, an AI tool developed by the MIT Personal Robotics Group, “is designed to teach children empathy and social skills,” reports Neil Sahota for Forbes. “These interactions, while mediated through technology, are invaluable in nurturing the social and emotional growth of children,” writes Sahota.
Research Scientist Neil Thompson speaks with New York Times reporter Hank Sanders about the economic and social impact of AI technology in the fast-food industry. Thompson explains that “voice A.I. is inaccurate often enough that it requires some level of human oversight, which decreases cost savings,” writes Hank.
Researchers from MIT have developed “sustainable, offshore, hydrodynamic,” artificial reef structures capable of dissipating “more than 95% of an incoming wave’s total energy,” reports Nick Warburton for Materials World. The design “comprises vertical cylinders with four rudder-like slats attached to them, so that water can flow through the structure to generate 'swirling masses of water' or large eddies,” explains Warburton.
Wall Street Journal reporter Justin Lahart spotlights the work of Prof. David Autor, an economist whose “thinking helped change our understanding of the American labor market.” Harvard Prof. Lawrence Katz says Autor has “probably been the most insightful and influential scholar of the labor market” in decades. “To me, the labor market is the central institution of any society,” says Autor. “The fastest way to improve people’s welfare is to improve the labor market.”
MIT researchers have improved upon the diffusion models used in AI image generation, reports Alok Jha for The Economist. Working with electrically charged particles, the team created “Poisson flow generative models,” which “generate images of equal or better quality than state-of-the-art diffusion models, while being less error-prone and requiring between ten and 20 times fewer computational steps,” Jha explains.
Prof. Evelina Fedorenko has uncovered evidence that the human brain uses language for communicating, not reasoning, writes Carl Zimmer for The New York Times. “Other regions in the brain are working really hard when you’re doing all these forms of thinking, but it became clear that none of those things seem to engage language circuits,” she says.
Gizmodo reporter Passant Rabie spotlights new research by MIT geologists that finds waves of methane on Titan likely eroded and shaped the moon’s coastlines. “If we could stand at the edge of one of Titan’s seas, we might see waves of liquid methane and ethane lapping on the shore and crashing on the coasts during storms,” explains Prof. Taylor Perron. “And they would be capable of eroding the material that the coast is made of.”
MIT scientists have found that lakes and seas made of methane may have shaped Titan’s shores, writes Jess Thomson for Newsweek. “This discovery could allow astronomers to learn even more about the conditions on Titan,” writes Thomson. “Knowing that waves carved out the coast enables them to predict how fast and strong the winds on the moon are and from which direction they blow.”
Prof. Daron Acemoglu speaks with Greg Rosalsky of NPR’s Planet Money about AI’s potential effect on jobs, specifically the translation business. “I think how good AI has become is often exaggerated,” says Acemoglu. “But there is pretty much nothing that humans do as meaningful occupation that generative AI can now do. So in almost everything it can at best helps humans, and at worst, not even do that.”
Prof. Hugh Herr joins the BBC’s Shiona McCallum to discuss a program by the K. Lisa Yang Center for Bionics aimed at bringing prosthetics to those who suffered forced amputations during the Sierra Leone Civil War. “When we train a young person on how to construct an arm or leg prothesis we’ve impacted the country for solidly forty years,” Herr says. “That person’s going to be living in that country and contributing to their community for a very long time. That’s exciting.”
Katie Rae, CEO and managing partner of the Engine Ventures, speaks with Boston Globe reporter Aaron Pressman about The Engine Ventures’ third investment fund, which remains focused on “helping early-stage startups develop and commercialize ‘tough tech,’ which can include anything from fusion power generators to cement made without fossil fuels.” Rae notes: “You see this dynamism not just for climate, but for all things manufacturing, whether it’s biotech, whether it’s AI chips, it is about as an exciting moment as you could get for what we do.”
The Engine Ventures' CEO and Managing partner Katie Rae talks to Forbes’ Alex Knapp about its recent round of fundraising for investments in startups focused on sustainability, health and infrastructure. Rae also sees opportunities in quantum computing and other new hardware, saying “power and climate and compute all go together.”
Prof. Yasheng Huang joins a Financial Times podcast to speak with James Kynge about how China’s technological advancement and economic growth could be threatened by the country’s increasing authoritarianism. “My own prediction is that if Chinese domestic policy doesn’t change substantially, the pace of technological and scientific progress that we have witnessed during the reform era, that pace is going to slow down,” Huang says.
MIT researchers have discovered “a new way to interfere with a certain bacterial enzyme that may lead to a new class of antibiotics,” reports Meryl Davids Landau for National Geographic.
Researchers at MIT and elsewhere have “outlined the costs and benefits of artificial intelligence in health care, education and the workforce,” reports Ruth Reader, Daniel Payne, and Carmen Paul for Politico. The researchers say “policymakers should study the real-world implications of the technology and consider using AI to inform policy,” writes Politico.