In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...

Machine Learning and Artificial intelligence enable the learning of complex nonlinear patterns from high-dimensional datasets. In ESAM, we are interested in leveraging or developing new data-driven ...

Researchers have developed a machine learning workflow to optimize the output force of photo-actuated organic crystals. Using LASSO regression to identify key molecular substructures and Bayesian ...

ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...

Looking for ways to bring art and science together for STEAM education? Join educators Carol Wilson of the Smithsonian American Art Museum, Alison Cawood from the Smithsonian Environmental Research ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

Almost all of us may have struggled with retaining information despite studying for hours at some point or the other in our lives. We might not feel that fire within us to study when the exams are far ...

Taking Tanzania as an example, this paper systematically analyzes the current situation and challenges of primary school science education in Africa through questionnaires and interviews. The study ...