The irregular, swirling motion of fluids we call turbulence can be found everywhere, from stirring in a teacup to currents in ...

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 ...

When we think about heat traveling through a material, we typically picture diffusive transport, a process that transfers ...

Your brain calculates complex physics every day and you don't even notice. This neuromorphic chip taps into the same idea.

New deployment data from four inference providers shows where the savings actually come from — and what teams should evaluate ...

When you pick up your phone today, you probably tap an icon before you even think about it, where native apps dominate your ...

The full PREVENT equations produced similar results. Mean calibration revealed slight overestimation of CVD risk in non-Hispanic Asian adults (0.96-1.33) and underestimation in Native Hawaiian and ...

Here's the case for constraint-aware intelligence in the AI 2.0 era.

The latest force torque sensors provide the levels of sensitivity and reliability needed for industrial cobot applications.

Yann LeCun is a leading AI voice whose pathbreaking work in neural networks became the foundation for modern computers and deep learning.

Colorado’s energy debate has become increasingly disconnected from the realities of how energy systems operate. Colorado politics has framed energy policy as a moral choice rather than a systems ...

Evaluation of accuracy (trueness) in a normal environment includes the three errors of sensitivity, linearity, and eccentricity, and the acceptance criterion, 0.10%, according to the error propagation ...