Singapore-MIT Alliance for Research and Technology (SMART)
SMART study determines benefits of competition and potential impact for future urban cities and transport systems.
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
The findings pave the way to develop more efficient next-gen LEDs that cover the entire visible spectrum.
SMART research finds US road congestion increased by almost 1 percent while the duration of congestion rose by 4.5 percent.
Deterministic lateral displacement assay can rapidly assess host inflammatory response, identifying a potentially life-threatening hyper-aggressive immune response.
A new approach to identifying useful formulations could help solve the degradation issue for these promising new lightweight photovoltaics.
Engineered plant nanosensors and portable Raman spectroscopy will help enable sustainable practices in traditional and urban agriculture.
Scalable CRISPRi system from SMART allows scientists to identify and tackle causes of E. faecalis-related diseases and drug resistance.
SMART researchers use Raman spectroscopy for early detection of SAS, which can help farmers better monitor plant health and improve crop yields.
Nanoscale devices integrated into the leaves of living plants can detect the toxic heavy metal in real time.
The discovery can help to cure bacterial infections without inducing resistance or causing harm to good bacteria.
Gelatin-based microcarriers offer higher yield and scalability compared to existing commercial microcarriers.