Deep learning model enables accurate and scalable drug-drug interaction prediction

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

AI model enables personalized blood glucose predictions for type one diabetes

Type 1 diabetes (T1D) is an autoimmune condition in which the body's own immune system attacks insulin-producing cells. As a result, patients with T1D must closely monitor their blood glucose (BG) ...
IEEE

Enhancing Two-Area Interconnected Power Systems Using Model Predictive and PID Control Approaches

Abstract: This research represents a comparative study of Load Frequency Control (LFC) using Model Predictive Control (MPC). The results have also been compared with Proportional-Integral-Derivative ...

Large AI models can speed catalyst discovery by predicting performance before synthesis

Artificial intelligence (AI) is transforming the way scientists discover and design new materials. In a specially invited review published in Angewandte Chemie International Edition, Tohoku University ...
IEEE

Investigating Brain-Inspired Computing Architectures to Enhance Energy Efficiency in AI Models Using Neuromorphic Computing

Abstract: Brain-inspired computing is a method of enhancing the efficiency of artificial intelligence through clock speed, akin to the human brain. The traditional Deep Neural Network (DNN) had ...
Edutopia

In High-Performing Math Classrooms, Words Matter

Math vocabulary alone isn’t a silver bullet—but research shows it’s linked to stronger academic achievement when paired with expert teaching practices.