Tag: Singapore-MIT Alliance for Research and Technology (SMART)

Engineers enlist AI to help scale up advanced solar cell manufacturing

Perovskites are a family of materials that are currently the leading contender to potentially replace today’s silicon-based solar photovoltaics. They hold the promise of panels that are far thinner and lighter, that could be made with ultra-high throughput at room temperature instead of at hundreds of degrees, and that are cheaper and easier to transport […]

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Ride-hailing without the traffic snarls?

In theory, competition among ride-hailing companies should be a good thing, providing more options for consumers. In practice, having too many ride-hailing vehicles adds to urban congestion. How can cities balance these factors? A new study co-authored by MIT researchers, in collaboration with the Institute for Informatics and Telematics of the National Research Council of […]

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SMART researchers discover unique lysin capable of killing multidrug-resistant bacteria

Researchers from the Antimicrobial Resistance (AMR) Interdisciplinary Research Group at Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, alongside collaborators at Nanyang Technological University, have identified a novel phage lysin — Abp013 — that could be used as an alternative antimicrobial agent against two of the most deadly bacteria: Acinetobacter baumannii […]

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Study sheds light on antibiotics-associated diarrhea

A joint study by the Singapore General Hospital (SGH) and Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, may have found the reason some patients experience diarrhea after taking the antibiotic amoxicillin-clavulanate, commonly known as Augmentin. It is a widely prescribed antibiotic used to treat many infections, including pneumonia and urinary […]

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Q&A: What makes a bestselling textbook?

The Department of Electrical Engineering and Computer Science (EECS) recently learned that “Introduction to Algorithms,” a textbook coauthored by department professors Charles Leiserson and Ronald Rivest, alongside Dartmouth College’s Tom Cormen SM ’86, PhD ’93  and Columbia University’s Cliff Stein SM ’89, PhD ’92, has now officially sold over 1 million copies worldwide. Lauded for its […]

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A new way to perform “general inverse design” with high accuracy

Researchers have discovered a novel way to perform “general inverse design” with reasonably high accuracy. This breakthrough paves the way for further development of a burgeoning and fast-moving field that could eventually enable the use of machine learning to accurately identify materials based on a desired set of user-defined properties. This could be revolutionary for […]

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