Prof. Joshua Tenenbaum speaks with Wired reporter Will Knight about AI image generators and the limitations of AI tools. “It's amazing what they can do,” says Tenenbaum, “but their ability to imagine what the world might be like from simple descriptions is often very limited and counterintuitive.”
Deepak Dugar MBA ’13, PhD ’13 founded Visolis, a biomanufacturing company developing carbon-negative, high-performance materials, reports John Cumbers for Forbes. “We use biology to make platform molecules. And then we use chemistry to turn them into a lot of different products. Because of this unique combination, we have an advantage both in terms of market as well as cost of technology development,” says Dugar.
Graduate student Matthew Groh discusses Detect Fakes, a research project he co-created aimed at teaching people how to detect deepfakes, with Wall Street Journal reporter Ann-Marie Alcántara. Groh recommends people pay attention to the context of an image or video, noting that people can “pay attention to incentives and what someone is saying and why someone might be saying this.”
Kevin Hu SB ’13, SM ’15, PhD ’19 co-founded Metaplane, a startup aimed at providing users with data analytics-focused tools, reports Kyle Wiggers for TechCrunch. “Metaplane monitors data using anomaly detection models trained primarily on historical metadata. The monitors try to account for seasonality, trends and feedback from customers, Hu says, to minimize alert fatigue, “writes Wiggers.
Researchers from the MIT-IBM Watson AI Lab and the Harvard Natural Language Processing Group developed the Giant Language model Test Room (GLTR), an algorithm that attempts to detect if text was written by a bot, reports Megan Morrone for Fast Company. “Using the ‘it takes one to know one’ method, if the GLTR algorithm can predict the next word in a sentence, then it will assume that sentence has been written by a bot,” explains Morrone.
Alex Westner SM ’98 founded Xander, a company that uses augmented reality in personalized glasses to provide real-time closed captions for people with hearing loss, reports Dalvin Brown for The Wall Street Journal. “The glasses have an embedded display on the right side, where text appears almost as quickly as it’s picked up by a built-in microphone,” writes Brown. “There’s no wireless connection – all processing happens within the glasses.”
PBS host Jared Bowen highlights the scientific advancements on display at the MIT Museum. “We’re here to turn MIT inside out,” says Prof. John Durant, director of the MIT Museum. “We want people to understand what contemporary research and innovation are all about and what they mean for everyday life.”
Vecna Technologies and Vecna Robotics co-founder Daniel Theobald ’95, MS ’97 speaks with Forbes reporter Heather Wishart-Smith about the future of robotics. “I believe that robotics can be one of the great tools for solving the world’s problems,” says Theobald. “The environment, equality, food scarcity, even happiness in allowing us to focus on being more human than today’s humans working like machines and doing jobs that really should not be done by humans.”
Boston Globe reporter Aaron Pressman spotlights how The Engine has “backed a number of promising climate-tech startups” and has “helped attract many other investors to climate tech.” Additionally “three-quarters of startups backed by The Engine had a founder or chief executive from an underrepresented minority group, and 44 percent had a woman in one of those roles,” Pressman notes. “From our point of view, it is unacceptable not to believe that people of very diverse backgrounds should be the next founders,” says Katie Rae, CEO and managing partner of The Engine.
A team of MIT students developed reconfigurable robots capable of exploring rough terrains on the moon as part of NASA's Breakthrough, Innovative, and Game-changing (BIG) Idea Challenge, reports Alejandra Borunda for National Geographic. The MIT students “figured that once astronauts were on the moon, they’d want to use various types of robots so they designed “‘Lego-like combinations that can be reconfigured,’” the team explained.
Prof. Daron Acemoglu speaks with Politico reporter Derek Robertson about his new study examining the impacts of automation on the workforce and economy. “This discussion gets framed around ‘Will robots and AI destroy jobs, and lead to a jobless future,’ and I think that's the wrong framing,” says Acemoglu. “Industrial robots may have reduced U.S. employment by half a percent, which is not trivial, but nothing on that scale [of a “jobless future”] has happened — but if you look at the inequality implications, it's been massive.”
Kevin Kusch ’17 co-founded Notemeal, an nutrition app used by athletes at the professional and college level, reports Tim Casey for Forbes. “Notemeal’s first clients used the app to build meal plans for players and track their nutrition information. After Covid-19 hit, the NFL did not allow players to gather for meals, so Notemeal developed a feature where players could order directly through the app, see nutrition information such as carbohydrates, proteins and calories and pick up the food prepared at team kitchens to take home,” writes Casey.
TechCrunch reporter Brian Heater spotlights a new study by Prof. Daron Acemoglu that examines the impact of automation on the workforce. “We’re starting with a very clear premise here: in 21st-century America, the wealth gap is big and only getting bigger,” writes Heater. “The paper, ‘Tasks, Automation, and the Rise in U.S. Wage Inequality,’ attempts to explore the correlation between the growing income gap and automation.”
MIT scientists have developed a miniature antenna that could one day be used to help safely transmit data from within living cells “by resonating with acoustic rather than electromagnetic waves,” reports Andrew Chapman for Scientific American. “A functioning antenna could help scientists power, and communicate with, tiny roving sensors within the cell,” writes Chapman, “helping them better understand these building blocks and perhaps leading to new medical treatments.”
Popular Science reporter Andrew Paul writes that a study co-authored by Institute Prof. Daron Acemoglu examines the impact of automation on the workforce over the past four decades and finds that “‘so-so automation’ exacerbates wage gaps between white and blue collar workers more than almost any other factor.”