Ancient pots decorated with a dainty floral pattern may be hiding a much deeper secret: the origins of mathematical thought.

The mirror spider can rapidly shift a patchwork of minuscule reflective plates underneath its abdomen’s outer surface, altering the pattern of mirrorlike flashes. This uncommon display comes from ...

Abstract: Extracting the geometric features of satellites from inverse synthetic aperture radar images is a meaningful and challenging task. Previous methods have focused on estimating 3-D geometric ...

The common ratio is the cornerstone of understanding geometric sequences, revealing the multiplicative pattern that governs the progression from one term to the next. It's the consistent factor that, ...

Despite decades of reform efforts, many mathematics teachers continue to struggle with implementing instruction that supports deep mathematical understanding and meaningful student engagement. This ...

Keira Knightley and Ben Whishaw do phenomenal work in this British import by creator Joe Barton. They play spies for the titular organization with Knightley’s agent in a deep undercover job as the ...

Whether on the patio with a cool summer breeze or gathered around a coffee table by the fire on a chilly night, there’s something special about game night with loved ones. Until, of course, you can’t ...

The paper of #7919 that convert each molecule encoded by SMILES string into a graph in experiment, but I didn't find example in examples folder, there are only NeuralFingerprint model and test, and no ...

In the post-war years, Europe was in search of a new identity, based less on enthusiasm and trust in technological innovations, and instead challenging architecture's role in society. The change in ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Researchers from UCLA and Meta AI have ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...