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Quantum computers promise to solve problems that would take even the fastest conventional supercomputers a vast amount of time, but the quantum information they store and process is extremely sensitive to even tiny disturbances from their surroundings. To keep these systems opera

Uterine fibroids and endometriosis are two of the most common gynecologic diseases, affecting 15% to 80% of women of childbearing age. Existing treatments—hormonal drugs and selective estrogen receptor modulators—have side effects and cannot reliably prevent recurrence. This is w

For more than a decade, one question has loomed over the race to build autonomous vehicles: Are cameras alone enough to safely replace human drivers, or do truly driverless cars need additional, overlapping sensors like lidar and radar to navigate the world reliably? Tesla has be

Researchers at IMDEA Materials Institute have developed an artificial intelligence (AI)-based strategy to predict and assess the fire resistance of epoxy resins, one of the most widely used polymers in industry.

How can sales figures be forecast more reliably, production capacities planned fully digitally, and employee know-how systematically integrated at the same time? To address this issue, Fraunhofer IWU developed an AI-powered demand forecasting tool for frottana Textil GmbH & Co. K

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests. Rather, researchers combine readings from seismometers distributed across a small geographic area to gain confidence in their analysis. Artificial intelligence

A new airborne imaging approach can reliably detect unexploded weapons that lie in shallow coastal waters and remain an ongoing hazard to public safety, marine ecosystems and infrastructure worldwide. By combining advanced multispectral sensing with artificial intelligence, the r

From precision medicine to personalized job training, customizing interventions for individuals is often assumed to produce better outcomes than a one-size-fits-all approach. But personalization also comes with costs: it can be more expensive, harder to implement reliably and may