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Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits, and suddenly, a molecule makes a promising new medicine. Normally, creating better ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Few companies have been able to fundamentally change their operating and business models around AI. The primary obstacle to ...

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 ...

People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a century, psychologists have been trying to shed light on the processes ...

VVCE Civil Engineering students excel at Ideathon 2026, developing innovative, sustainable solutions for modern urban ...

Students deserve an education that prepares them for the world they’re entering, not the old one our current system was ...

The rapid expansion of artificial intelligence logically raises the question of how young people need to be prepared for this environment.

Abstract: Given the inherent diversity in learning styles and rhythms, the current educational landscape demands continuous adaptation toward methodologies that enhance individualized learning. This ...

One way to build these skills is to move from theory-based education to simulation-based education, though this can require an organizational shift in how knowledge is transferred. As AI systems ...

Abstract: Phase unwrapping (PU) is a critical process for numerous synthetic aperture radar interferometry (InSAR) applications. The advent of deep learning (DL) has revolutionized PU, with various DL ...