News & Stories

Researchers design sensors to rapidly detect plant hormones

Researchers from the Disruptive and Sustainable Technologies for Agricultural Precision (DiSTAP) interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, and their local collaborators from Temasek Life Sciences Laboratory (TLL) and Nanyang Technological University (NTU), have developed the first-ever nanosensor to enable rapid testing of synthetic auxin […]

A new way to detect the SARS-CoV-2 Alpha variant in wastewater

Researchers from the Antimicrobial Resistance (AMR) interdisciplinary research group at the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, alongside collaborators from Biobot Analytics, Nanyang Technological University (NTU), and MIT, have successfully developed an innovative, open-source molecular detection method that is able to detect and quantify the B.1.1.7 (Alpha) variant of […]

Call for Proposal: Skoltech-MIT Next Generation Program

Skoltech and MIT announce the 4th Call for Proposals for the Next Generation Program (NGP) consisting of joint projects. This call is for PI-initiated projects in research, education, and/or innovation. A team jointly led by a PI from Skoltech and a PI from MIT may submit a single, integrated proposal in one or more of the […]

SMART researchers develop a method for rapid, accurate virus detection

Researchers from Critical Analytics for Manufacturing Personalized-Medicine (CAMP), an interdisciplinary research group at the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, have developed a new method for rapid and accurate detection of viral nucleic acids — a breakthrough that can be easily adapted to detect different DNA/RNA targets in viruses […]

Microscopy technique makes finer images of deeper tissue, more quickly

To create high-resolution, 3D images of tissues such as the brain, researchers often use two-photon microscopy, which involves aiming a high-intensity laser at the specimen to induce fluorescence excitation. However, scanning deep within the brain can be difficult because light scatters off of tissues as it goes deeper, making images blurry. Two-photon imaging is also […]

E-scooters as a new micro-mobility service

A new study by scientists from Future Urban Mobility (FM), an interdisciplinary research group at the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, has found that e-scooters, while considered by some to be a hazard to pedestrians and others, provide an important alternative mode of transit, particularly in urban areas. […]

Trying to put the brakes on car ownership

To limit pollution and traffic congestion in Beijing, officials in 2011 imposed a citywide restriction on the number of automobiles residents can purchase annually. That policy has helped limit car sales and emissions. But the system has a loophole: Beijing residents have been going elsewhere in China to purchase cars, then bringing them home. As […]

Evaluating the competition between autonomous vehicles and public transit

The rapid advancement of autonomous vehicles technology in recent years has changed transport systems and consumer habits globally. As countries worldwide see a surge in the use of autonomous vehicles, the rise of shared autonomous mobility on demand (AMoD) service is likely to be next on the cards. Public transit, a critical component of urban […]

Materials breakthrough enables twistronics for bulk systems

Researchers from the Low Energy Electronic Systems (LEES) interdisciplinary research group at the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, together with MIT and National University of Singapore (NUS), have discovered a new way to control light emission from materials. Controlling the properties of materials has been the driving force […]

SMART breakthrough uses artificial neural networks to enhance travel behavior research

Researchers at the Future Urban Mobility (FM) interdisciplinary research group at Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, have created a synthetic framework known as theory-based residual neural network (TB-ResNet), which combines discrete choice models (DCMs) and deep neural networks (DNNs), also known as deep learning, to improve individual decision-making […]