Abstract: Deep learning technologies have demonstrated their effectiveness in removing cloud cover from optical remote-sensing images. Convolutional neural networks (CNNs) exert dominance in the cloud ...

Imagine Jo: Everyone in Jo's life recognizes her as an outstanding problem solver. She's the type of person who seems capable ...

And the added ruggedness isn’t just about the visual side of things, as the Husky’s running gear has also been improved in ...

MiniMax M2.1 builds on M2’s value, with costs near 8% of Cloud Sonnet and almost 2x speed, helping teams launch agents on budget.

Why it's essential to combine sign-off accuracy, iterative feedback, and intelligent automation in complex designs.

This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...

AI tools like ChatGPT can churn out essays, emails, and even poetry in seconds, they leave subtle yet telling fingerprints for detection systems ...

Abstract: The iterative hard thresholding (IHT) algorithm is widely used for recovering sparse signals in compressed sensing. Despite the development of numerous variants of this effective algorithm, ...

We introduce iterative retrieval, a novel framework that empowers retrievers to make iterative decisions through policy optimization. Finding an optimal portfolio of retrieved items is a combinatorial ...