Mohanty and a multi-institution team demonstrated a fast, explicit approach to constructing lossless vertex expansion networks.

The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in the planetary atmosphere. This phenomenon is governed by the Navier-Stokes ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Data center AI is driving a dramatic ramp in the growth of silicon photonics foundries: 8X growth in just 6 years, from 2026 to 2032. Scale-out is the major driver now. Scale-up will become the ...

Should the United States buy more destroyers, or would the money be better spent developing bases, munitions, or software?

Condensed-matter physics and materials science have a silo problem. Although researchers in these fields have access to vast amounts of data – from experimental records of crystal structures and ...

This guide breaks down subscription commerce, including models, pricing strategies, tech stack, fulfillment realities, and retention tactics.

Abstract: Deep neural networks (DNNs) are sensitive to adversarial examples which are generated by corrupting benign examples with imperceptible perturbations, or have significant changes but can ...

Getting to know the customers visiting franchise restaurants doesn’t just come down to the in-person conversations at the ...

Private equity (PE) investment has been a lightning rod for debates over rising health care costs, workforce instability, and declining quality. However, a frequently misunderstood point is that the ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

Omni NDE cobots, X-ray end effectors and Voxray’s reconstruction approach enables 5-micron inspection of aerospace parts without size constraints.