Responsible AI involves designing machine learning systems that are transparent, fair, and accountable. In the context of healthcare, responsible AI also includes protecting patient privacy, ensuring ...

Tyler Bouchard and Tyler Modelski explore the fundamental changes needed to scale industrial artificial intelligence in additive manufacturing.

Adaptive laser beam shaping with a deformable mirror enables efficient energy and material usage in laser welding and ...

AI-driven material development and new additive manufacturing technology are accelerating new aluminum alloy, battery, and material processing innovations.

Composites have become key materials for strategic industries such as aerospace, new energy vehicles, and high-end equipment due to their superior specific ...

Martial arts robots may play well on stage, but can they get work done? A look at what it takes to deliver the reliability and safety required for autonomous robotic systems ...

QuantumStreet AI ("QuantumStreet"), an IBM partner company specializing in AI-driven investment solutions, today announced the launch of its Long-Short Global Equity strategy, designed to provide ...

CMU researchers are directly advancing the next generation of energy innovation by helping to design resilient, transportable microreactors, building on the Pittsburgh region's century-long legacy as ...

Resistance to therapy and tumor heterogeneity remain the fundamental drivers of treatment failure in oncology. While single-agent therapies have provided ...

ETM has mass-produced these motors, supporting industries like robotics and industrial pumps with lighter, more efficient solutions. The technology’s ability to eliminate gearboxes simplifies ...

Self-related information automatically modulates early attentional selection into awareness through mechanisms distinct from physical salience, revealing an obligatory, individualized ...

Detecting behavioural signatures of depression from everyday digital traces is a central challenge in computational psychiatry. Real-world datasets from smartphones and wearables often suffer from ...