7 News spotlights how MIT researchers have developed a new implantable device that could provide diabetes patients with insulin without using injections. “What we’ve been able to show is that with a minimally invasive implant that is sitting just under the skin, we’ve actually been able to sort of achieve a diabetic reversal,” explains Research Scientist Siddharth Krishnan.
Gizmodo reporter Ed Cara writes that MIT researchers have developed a new implantable device that can produce its own supply of insulin for up to a month. The team envisions that the device could “eventually be used for other medical conditions dependent on a regular supply of externally produced proteins, such as certain forms of anemia treated with erythropoietin,” writes Cara.
Wall Street Journal reporter Scott Patterson spotlights Form Energy, an MIT startup that will produce long-duration batteries using an electrochemical reaction that turns iron into rust and back again. Patterson notes that the goal at Form Energy was to “develop batteries that were cheap, didn’t catch fire, didn’t need scarce and costly metals like cobalt and lithium, and could produce electricity for a long time.”
MIT researchers have developed a new underwater system that could enable long-range and low-power underwater communication, reports Edd Gent for IEEE Spectrum. “The reason why this is really exciting is because now you start opening up many of the coastal monitoring applications,” says Prof. Fadel Adib. “It’s a turning point from this being a technology that is intellectually super interesting that we hope will work, to saying we know that this works and we have a path to deployment.”
A new study co-authored by Prof. Emilio Castilla finds that using stereotypically masculine or feminine adjectives to describe the qualities needed for a job opening has a negligible effect on who applies, reports Lisa Ward for The Wall Street Journal. “It’s a superficial intervention with little tangible effect,” says Castilla.
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.
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.”
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.”
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.
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.”
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.”
Politico reporter Joanne Kenen spotlights Prof. Adam Berinsky’s new book, “Political Rumors: Why We Accept Misinformation and How to Fight it.” The book “examines attitudes toward both politics and health, both of which are undermined by distrust and misinformation in ways that cause harm to both individuals and society.”
Forbes reporter Rob Toews spotlights Prof. Daniela Rus, director of CSAIL, and research affiliate Ramin Hasani and their work with liquid neural networks. “The ‘liquid’ in the name refers to the fact that the model’s weights are probabilistic rather than constant, allowing them to vary fluidly depending on the inputs the model is exposed to,” writes Toews.
Prof. Arnaud Costinot and Prof. Iván Werning speak with TechCrunch reporter Brian Heater about their research examining the potential impact of a robot tax on automation and jobs. “The potential wages people can earn may become more unequal with new technologies and the idea is that the tax can mitigate these effects,” Costinot and Werning explain. “In a sense, one can think of this as pre-distribution, affecting earnings before taxes, instead of redistribution.”