School of Engineering

Chronicle of Higher Ed reporter Karin Fischer spotlights “A Brief Tender Light,” a documentary created by Arthur Musah '04, MEng '05 that follows four African undergraduates at MIT on their journey as international students studying and working in Boston. Musah’s “dream scenario is that such screenings could facilitate dialogue between groups represented in the documentary, such as international and African students, students of color, and gay and lesbian students,” writes Fischer.

Graduate student Zhichu Ren has developed CRESt (Copilot for Real-World Experimental Scientist), a lab assistant which “suggests experiments, retrieves data, manages equipment and guides research to the next steps in an experiment,” reports Ryan Heath for Axios.

Philip Adama Abel '15 co-founded Cleva, “a banking platform for African individuals and businesses to receive international payments by opening USD accounts,” reports Tage Kene-Okafor TechCrunch. “Long term, we are open to Cleva evolving from just being a product-only service to being a platform issuing APIs to do a bunch of other things that help us distribute services across other African countries or around the world,” says Abel.

Prof. Julie Shah speaks with Wall Street Journal reporter Lauren Weber about the implementation of automation in the work force. According to Shah, “when companies adopt automation successfully, they end up adding workers as they become more productive and fill more orders,” writes Weber. “And machines’ lack of flexibility has often resulted in what Shah calls ‘zero-sum automation,’ where gains in productivity are canceled out by the need for people to fix or reprogram robots and compensate for their drawbacks.” 

MIT researchers have used machine learning to uncover the different kinds of sentences that most likely to activate the brain’s key language processing centers, reports Kyle Wiggers and Devin Coldewey for TechCrunch. The model, “was able to predict for novel sentences whether they would be taxing on human cognition or not,” they explain.

Cement production is a climate catastrophe, writes MIT Technology Review’s Casey Crownhart, pumping billions of metric tons of carbon dioxide into the atmosphere. Sublime Systems, a startup founded by MIT Prof. Yet-Ming Chiang and former postdoc Leah Ellis, uses electricity to trigger the chemical reactions that form the building material. Over the past few years, it’s gone from making palm-sized batches to producing 100 tons a year. The next stage is a commercial facility producing tens of thousands of tons of material a year. 

Smithsonian Magazine reporter Sarah Kuta spotlights MIT researchers and their work in developing an ingestible vibrating pill that simulates the feeling of being full. The device “could someday offer an obesity treatment that doesn’t rely on standard medications or surgery,” writes Kuta.

MIT researchers have created a vibrating capsule that can send signals to the brain to simulate the sensation of being full, reports Brian Heater for TechCrunch. “The capsule, which is roughly the size of a standard multi-vitamin, contains a vibrating motor, powered by a silver oxide battery,” explains Heater. “After reaching the stomach, gastric acid dissolves the outside layer and completes the circuit, kickstarting the vibration.”

Researchers at MIT have developed a vibrating pill that “significantly reduces food consumption by mimicking the feeling of fullness,” reports Arianna Johnson for Forbes. Researchers believe, “the pill can be used as a cheaper, noninvasive option to treat obesity and other weight-related illnesses,” writes Johnson.

MIT researchers have created “a vibrating pill that stimulates nerve endings in the stomach to tell the brain it’s time to stop eating,” reports Mitch Leslie for Science. “A gel plug in the pill keeps the motor from switching on,” explains Leslie. “But the gel dissolves rapidly when it contacts stomach fluid, allowing the motor to start turning. When that happens, the pill shakes for about 38 minutes, roughly the amount of time it would stay in the stomach. The researchers hypothesized that these vibrations would stimulate the stretch-sensing nerve endings and signal satiety.”

Newsweek reporter Pandora Dewan spotlights MIT researchers and their work developing an ingestible vibrating pill that can mimic the sensation of fullness. "The development of new non-invasive methods for treating obesity is of importance in confronting the multifaceted challenges posed by this global health crisis," says Shriya Srinivasan PhD ’20. "Traditional interventions, such as invasive surgeries, can be associated with significant risks, costs and lifestyle modifications, limiting their applicability and effectiveness.”

Researchers at MIT have developed a vibrating pill that can be swallowed before eating to create a feeling of fullness, reports Nicola Davis for The Guardian. “This approach offers an alternative and potentially synergistic approach to other therapies available today,” says Prof.  Giovanni Traverso.

Researchers at MIT have developed “a battery-operated capsule-like device that’s supposed to make you feel full by stretching out your stomach using vibration,” reports Miriam Fauzia for Inverse. “Considering that diet and exercise are hard to maintain, especially for long-term weight loss, and medical interventions like gastric bypass surgery and the newest wave of injectables cost more than a pretty penny, [Shriya] Srinivasan PhD ’20 and her colleagues want their vibrating pill to be an accessible alternative,” writes Fauzia.

In a new paper, MIT researchers detail how they have used AI techniques to discover a class of “of antibiotics capable of killing methicillin-resistant Staphylococcus aureus (MRSA),” reports Helen Floresh for Fierce Biotech. “This paper announces the first AI-driven discovery of a new class of small molecule antibiotics capable of addressing antibiotic resistance, and one of the few to have been discovered overall in the past 60 years,” says postdoctoral fellow Felix Wong.

Researchers at MIT have used artificial intelligence to uncover, “a new class of antibiotics that can treat infections caused by drug-resistant bacteria,” reports Jeremy Hsu for New Scientist. “Our [AI] models tell us not only which compounds have selective antibiotic activity, but also why, in terms of their chemical structure,” says postdoctoral fellow Felix Wong.