Mathematical optimization is built for exploring unique and developing scenarios we've never seen before, to strengthen adaptability, efficiency, and nimbleness of businesses.

Neuromorphic computers, inspired by the architecture of the human brain, are proving surprisingly adept at solving complex mathematical problems that underpin scientific and engineering challenges.

Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...

Biological processes that govern our lives are many, intertwined, and often difficult to understand. They involve countless ...

Overview Python remains one of the most widely used languages in robotics, thanks to its readability, extensive libraries, ...

Let's discuss four trends that will redefine how robots create value — from smarter math and cooperative behaviors to ...

Sandia National Labs cajole Intel's neurochips into solving partial differential equations New research from Sandia National Laboratories suggests that brain-inspired neuromorphic computers are just ...

Artificial intelligence (AI) is increasingly used to analyze medical images, materials data and scientific measurements, but ...

Researchers have determined what affects lumen shape in pancreatic organoids, leading to the development of more accurate ...

Expect AI welding, AI finishing, AI assembly and AI inspection to become standard features in new robotic cells - bringing ...

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...