Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model ...

Abstract: Recent advances in deep learning have driven significant success in synthetic aperture radar (SAR) automatic target recognition, particularly through convolutional neural network (CNN) based ...

GRAND RAPIDS, MI – A new solar array that will power all of Grand Rapids’ municipal buildings, traffic signals and streetlights during the daytime is expected to be operational by the end of 2027, ...

Abstract: Convolutional neural network (CNN) and transformer-based hybrid models have been successfully applied to hyperspectral image (HSI) classification, enhancing the local feature extraction ...

Artificial intelligence (AI) systems are increasingly central to technology, powering everything from facial recognition to language translation. But as AI models grow more complex, they consume vast ...

The U.S. Coast Guard says it has seized over 40,000 pounds of cocaine in the Eastern Pacific Ocean over the last month as part of boosted counter-drug operations. More than a dozen interceptions since ...

We are an analytics company with strict performance restrictions, so we want as much as possible done with optimized builtin functions. In this case we need various array manipulation primitives for ...

In this paper, we tackle the high computational overhead of transformers for lightweight image super-resolution. (SR). Motivated by the observations of self-attention's inter-layer repetition, we ...