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SMART breakthrough to enhance travel behavior research with artificial neural networks

 E-Mail IMAGE: A comparison summary of deep neural networks (DNNs) and discrete choice models (DCMs) characteristics view more  Credit: Singapore-MIT Alliance for Research and Technology (SMART) Singapore, 19 April, 2021 - Researchers at the Future Urban Mobility (FM) Interdisciplinary Research Group (IRG) 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 analysis used in travel behaviour research. In this research paper, Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks, recently published in established transportation science journal

SMART discovers the science behind varying performance of different colored LEDs

 E-Mail IMAGE: An array of multi-colored LEDs periodically arranged to give off visible light as shown above; a combination of InGaN based red, blue, and green LEDs is essential to cover lighting. view more  Credit: Singapore-MIT Alliance for Research and Technology (SMART) Singapore, 12 April 2021 - Researchers from the Low Energy Electronic Systems (LEES) Interdisciplinary Research Group (IRG) at Singapore-MIT Alliance for Research and Technology (SMART), MIT s research enterprise in Singapore, together with Massachusetts Institute of Technology (MIT) and National University of Singapore (NUS) have found a method to quantify the distribution of compositional fluctuations in the indium gallium nitride (InGaN) quantum wells (QWs) at different indium concentrations.

SMART researchers develop 15-minute immune-profiling assay

Credits: Photo courtesy of SMART. Caption: A closeup of the SMART microfluidic DLD assay chip with a Singapore $1 coin for scale Credits: Photo courtesy of SMART. Caption: Experiment flow on the microfluidic DLD assay chip with sample red dye loaded on a microscope stage Credits: Photo courtesy of SMART. Previous image Next image 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 label-free immune profiling assay that profiles the rapidly changing host immune response in case of infection, in a departure from existing methods that focus on detecting the pathogens themselves, which can often be at low levels wi

A new tool to investigate bacteria behind hospital infections

Massachusetts Institute of Technology Researchers from theAntimicrobial Resistance (AMR) Interdisciplinary Research Group (IRG) atSingapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, and Nanyang Technological University (NTU) have developed a tool using CRISPRi technology that can help understand and prevent biofilm development, drug resistance, and other physiological behaviors of bacteria such as Enterococcus faecalis. E. faecalis, which is found in the human gut, is one of the most prevalent causes of hospital-associated infections and can lead to a variety of multidrug-resistant, life-threatening infections including bacteremia (bloodstream infection), endocarditis (infection of the heart), catheter-associated urinary tract infection, and wound infections.

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