Prof. Hal Abelson speaks with Inside Higher Ed reporter Lauren Coffey about AI policies in academia. “We put tremendous emphasis on creating with AI but that’s the sort of place that MIT is,” says Abelson. “It’s about making things. Other places have a very different view of this.”
Tomás Vega SM '19 is CEO and co-founder of Augmental, a startup helping people with movement impairments interact with their computer devices, reports Popular Science’s Andrew Paul. Seeking to overcome the limitations of most brain-computer interfaces, the company’s first product is the MouthPad, leveraging the tongue muscles.“Our hope is to create an interface that is multimodal, so you can choose what works for you,” said Vega. “We want to be accommodating to every condition.”
New York Times columnist Thomas Edsall spotlights recent research by Profs. Daron Acemoglu, David Autor and Simon Johnson, in which they explore whether artificial intelligence could be a beneficial tool for workers. “It is quite possible to leverage generative AI as an informational tool that enables various different types of workers to get better at their jobs and perform more complex tasks,” explains Acemoglu. However, he notes “to turn generative AI pro-worker, we need a major course correction.”
Researchers at MIT have designed an “AI-powered chatbot that simulates a user’s older self and dishes out observations and pearls of wisdom,” reports Ian Sample for The Guardian. “The goal is to promote long-term thinking and behavior change,” says graduate student Pat Pataranutaporn. “This could motivate people to make wiser choices in the present that optimize for their long-term wellbeing and life outcomes.”
Sloan Lecturer Shira Springer’s essay in Sports Business Journal makes the case for “investment in sports tech designed and developed with female athletes in mind.” Springer adds: “with fewer resources across the board in women’s sports, with all the gaps to close, sports tech can do more for women’s sports.”
A new proposal aims to transform Massachusetts into “a new leader in climate and environment technology,” with the help with MIT and other Massachusetts-based universities, reports Julia Jacobo for ABC News. “The foundations for seeing environmental initiatives from their inception to public market have long existed in Massachusetts, home to some of the most prestigious research institutions and scientific discoveries in the world, as well as existing infrastructure that allows production to be achieved much faster, according to experts in the state.”
An essay co-authored by Prof. Simon Johnson in Project Syndicate argues that for all the predictions about AI’s effect on the workforce, the most likely outcome is that many people will face pressure to change jobs as the labor market adjusts. Policymakers must focus on human capital, he writes, and “shared prosperity can flow from new technology, but only if its adoption is accompanied by upgraded human skills and more proactive worker redeployment.”
Boston Globe reporter James McCown highlights the architectural design of the new MIT Schwarzman College of Computing, noting that it is, “the most exciting work of academic architecture in Greater Boston in a generation.”Dean Daniel Huttenlocher adds: “The building was designed to be the physical embodiment of the college’s mission of fortifying studies in computer science and artificial intelligence. The building’s transparent and open design is already drawing a mix of people from throughout the campus and beyond.”
Prof. Daron Acemoglu’s new study projects just mild economic upside in the U.S. stemming from AI advancement, writes Business Insider’s Filip De Mott. According to Acemoglu, AI-led U.S. GDP growth in the next 10 years will rise just 0.93% to 1.16%, due to uncertainty on how much AI can really advance total factor productivity.
Prof. Regina Barzilay joins The Economist’s “Babbage” podcast to discuss how artificial intelligence could enable health care providers to understand and treat diseases in new ways. Host Alok Jha notes that Barzilay is determined to “overcome those challenges that are standing in the way of getting AI models to become useful in health care.” Barzilay explains: “I think we really need to change our mindset and think how we can solve the many problems for which human experts were unable to find a way forward.”
Current AI models require enormous resources and often provide unpredictable results. But graduate student Ziming Liu and colleagues have developed an approach that surpasses current neural networks in many respects, reports Manion Bischoff for Scientific American. “So-called Kolmogorov-Arnold networks (KANs) can master a wide range of tasks much more efficiently and solve scientific problems better than previous approaches,” Bischoff explains.
Financial Times reporter Robin Wigglesworth spotlights Prof. Daron Acemoglu’s new research that predicts relatively modest productivity growth from AI advances. On generative AI specifically, Acemoglu believes that gains will remain elusive unless industry reorients “in order to focus on reliable information that can increase the marginal productivity of different kinds of workers, rather than prioritizing the development of general human-like conversational tools,” he says.
Prof. Stuart Madnick speaks with CNBC reporter Trevor Laurence Jockims about the importance of embedding cybersecurity into company culture. “Cybersecurity has to be in the culture of the organization,” says Madnick. “Corporate culture prioritizes other things over security and risk management.”
C. Gordon Bell ’57, SM 57 was a “computer pioneer always looking ten steps ahead and building that version of the world,” writes Gizmodo’s Matt Novak. Bell was, “a true visionary in the world of computing who helped design some of the first minicomputers in the 1960s," Novak adds.
Called the “Frank Lloyd Wright of computers,” technology visionary C. Gordon Bell ’57, SM '57, “the master architect in the effort to create smaller, affordable, interactive computers that could be clustered into a network,” has died. “He was among a handful of influential engineers whose designs formed the vital bridge between the room-size models of the mainframe era and the advent of the personal computer,” notes Glenn Rifkin for The New York Times.