Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

Brelyon Ultra Reality® Mini with Brelyon Acoustic Wings, creating a −12 dB acoustic dark spot, almost half of a typical noise ...

Researchers from the Massachusetts Institute of Technology. (MIT) have developed a method for designing three-dimensional (3D) structures that transform from a flat layout into a curved, fully formed ...

A new ‘biomimetic’ model of brain circuits and function at multiple scales produced naturalistic dynamics and learning, and ...

Engineers at MIT have taken a metal that usually trades strength for lightness and pushed it into an entirely new class, ...

MIT researchers have designed a printable aluminum alloy that’s five times stronger than cast aluminum and holds up at ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

A biologically grounded computational model built to mimic real neural circuits, not trained on animal data, learned a visual categorization task just as actual lab animals do, matching their accuracy ...

When René Descartes watched a mechanical figure move with lifelike precision in the 17th century, the scene unsettled him. The machine behaved like a person, yet no one believed it could feel.

Brookhaven National Laboratory and collaborators have developed a new type of lidar—a laser-based remote-sensing instrument—that can observe cloud structures at the scale of a single centimeter. The ...

Abstract: In this work, a fast computation method is presented for computing electromagnetic scattering from inhomogeneous objects with thin strut-based ceramic lattice structures. In the proposed ...