Machine learning (ML) models now influence decisions that were once reserved solely for human judgement: credit approvals, hiring outcomes, insurance pricing, and loan default predictions. When these ...
Today's antipersonnel land mines are small and often have plastic casings that standard metal detectors cannot register.
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Are you ready for your car to decide if you’re fit to drive? If not, you’d better buckle up. A federal mandate declares new vehicles must have in-car surveillance for 2027 models onward that can ...
There has been a recent critical need to study fairness and bias in machine learning (ML) algorithms. Since there is clearly no one-size-fits-all solution to fairness, ML methods should be developed ...
A new AI framework called THOR is transforming how scientists calculate the behavior of atoms inside materials. Instead of relying on slow simulations that take weeks of supercomputer time, the system ...
Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students use chatbots to write essays? Can instructors tell? Should universities ...
Within the STRUCTURES Cluster of Excellence, two research teams at the Interdisciplinary Center for Scientific Computing (IWR) have refined a computing process, long held to be unreliable, such that ...
Machine learning (ML)-based clinical decision support (CDS) in the intensive care unit (ICU) has the potential to improve medical decision-making and patient outcomes. The chasm between model ...
As we head towards 2026, AI has become a powerful aid for both learners and teachers, enabling personalized study and creating new ways to teach and engage students. At the same time, industry is ...
In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, an age defined by data and automation, that approach no longer makes sense. The solution ...