Medical AI training data is the fundamental bottleneck holding back clinical AI, two new peer-reviewed papers independently ...

As AI takes on consequential decisions, outdated liability frameworks allow developers, deployers, and operators to evade responsibility when automated systems cause harm.

Building complex software requires a balanced team with complementary technical skills. One developer cannot manage every ...

Cinema has long explored the complex world of computer programming, cyber security, and technological innovation. From ...

This event is closed to the public. Digital twins represent the next frontier in the impact of computational science on grand challenges across science, technology, and society. A digital twin is a ...

Penn Engineers have developed an open-source algorithm that combines the speed of AI with the precision of geometry to compare complex medical images quickly and accurately, helping detect subtle ...

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...

Creating a highly accurate geological model at a large scale presents a considerable challenge, primarily due to constraints imposed by sparse data availability. A promising strategy to mitigate these ...

Geometric deep learning extends supervised learning to data beyond standard Euclidean space, encompassing structures like graphs and manifolds. Tim Mangliers, Bernhard Mössner, and Benjamin Himpel, ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...