Prof. Regina Barzilay speaks with The Economist about how AI can help advance medicine in areas such as uncovering new drugs. With AI, “the type of questions that we will be asking will be very different from what we’re asking today,” says Barzilay.
Data from the Clean Investment Monitor, a new project from MIT’s Center for Energy and Environmental Policy Research and the Rhodium Group, shows that President Biden’s 2022 Inflation Reduction Act has impacted both consumer and corporate spending. “The data show that in the year since the climate law passed, spending on clean-energy technologies accounted for 4 percent of the nation’s total investment in structures, equipment and durable consumer goods — more than double the share from four years ago,” writes Jim Tankersley for The New York Times.
The Center for UltraCold Atoms, located at MIT, is one of four university physics programs that will share $76 million in funding from the National Science Foundation as part of the organization’s Physics Frontiers Centers program, which aims to “foster major breakthroughs at the intellectual frontiers of physics,” writes Michael T. Nietzel for Forbes. “[T]he Center for UltraCold Atoms is a joint effort with Harvard University that will explore how to achieve greater control and programmability of complex quantum systems,” he explains.
Arthur Musah '04, MEng '05 speaks with Boston Globe reporter Kajsa Kedefors about his new documentary, “Brief Tender Light,” which follows the lives of several African-born students from their first year at MIT through graduation and to their first jobs. Musah, “weaves in his own reflections in voice-overs throughout the film, exploring what it means to be an international African student at an elite American institution,” explains Kedefors. “He speaks to the pressure the students in the film share from back home: the idea that education is valuable and rare — that they should bring back what they learned to better the community.”
New York Times reporter Siobhan Roberts spotlights Yulia’s Dream, a free math enrichment and research program for exceptional high school students in Ukraine organized through the MIT Department of Mathematics. “Mathematics is often misunderstood as a solitary endeavor,” says Lecturer Slava Gerovitch. “One cannot be a successful mathematician without being integrated into these international networks for the exchange of knowledge.”
Writing for Nature, graduate student Jelle van der Hilst offers advice on determining whether the data resulting from an experiment is meaningful and useful. “Although in research it is crucial that you don’t fully trust your data until it has been triple-proven and peer-reviewed,” writes van der Hilst, “we do have to gain some operational confidence in our methods and results. Otherwise, crippled by self-doubt, we’d never bring any new research into the world.”
Writing for The Hill, Prof. Emeritus Henry Jacoby and his colleagues explore how younger GOP voters seem to increasingly favor lawmakers taking action on climate change. “For the sake of the planet, we can only hope that younger Republicans speak out forcefully and that their elders start listening,” they writes, “and, most importantly, that dissatisfaction with the party’s failure to address climate change is expressed in the voting booth.”
WBUR’s Lloyd Schwartz spotlights Prof. Tod Machover’s revival of “VALIS” at MIT, staged by Prof. Jay Scheib. “The score is an inventive and often hauntingly beautiful arrangement of synthesizer, live instruments, and electronically expanded instruments,” writes Schwartz, “which Machover calls ‘hyper-instruments,’ a compelling amalgamation of minimalism, medieval, Wagner and rock.”
MIT researchers have developed a new implant that in the future could be used to deliver insulin to patients for up to a month, potentially enabling patients to control diabetes without injections, reports Tony Ho Tran for the Daily Beast. In the future, the researchers hope to “develop a device for humans that would be roughly the size of a stick of gum,” writes Tran. “The implant could also be used to deliver things like drugs or proteins to help treat other diseases in humans as well.”
USA Today reporter Zoe Wells spotlights the Mars MOXIE device developed by MIT researchers, which “has already made 122 grams of oxygen, comparable to 10 hours of breathable air for a small dog. MOXIE produced 12 grams of oxygen per hour at 98% purity, which exceeded NASA's original expectations.”
President Sally Kornbluth joined The Boston Globe’s Shirley Leung on her Say More podcast to discuss the future of AI, ethics in science, and climate change. “I view [the climate crisis] as an existential issue to the extent that if we don’t take action there, all of the many, many other things that we’re working on, not that they’ll be irrelevant, but they’ll pale in comparison,” Kornbluth says.
MIT researchers have devised a new carbon capture system that “relies on the reaction between CO2 in flue gas and a fine mist of electrically charged particles,” reports Karmela Padavic-Callaghan for New Scientist. The researchers believe their design could be “95 per cent efficient at capturing carbon dioxide, while measuring less than 4 meters long,” Padavic-Callaghan notes. “Their analysis also showed that the approach would reduce capital costs of adding carbon capture to power plants by about 2.6 times compared with current technology.”
Prof. Max Tegmark has been named to TIME’s list of the 100 most influential people in AI. “Our best course of action is to follow biotech’s example, and ensure that potentially dangerous products need to be approved by AI-experts at an AI [version of the] FDA before they can be launched,” says Tegmark of how government should regulate the development of AI. “More than 60% of Americans support such an approach.”
Popular Science reporter Andrew Paul writes that MIT researchers have developed a new long-range, low-power underwater communication system. Installing underwater communication networks “could help continuously measure a variety of oceanic datasets such as pressure, CO2, and temperature to refine climate change modeling,” writes Paul, “as well as analyze the efficacy of certain carbon capture technologies.”
A new study by MIT researchers demonstrates how “machine-learning systems designed to spot someone breaking a policy rule—a dress code, for example—will be harsher or more lenient depending on minuscule-seeming differences in how humans annotated data that were used to train the system,” reports Ananya for Scientific American. “This is an important warning for a field where datasets are often used without close examination of labeling practices, and [it] underscores the need for caution in automated decision systems—particularly in contexts where compliance with societal rules is essential,” says Prof. Marzyeh Ghassemi.