Breast cancer remains one of the most common cancers worldwide, driving continued interest in artificial intelligence tools that can support earlier and more accurate diagnosis. A new study has found ...

Morgan Stanley Wealth Management will leverage iCapital’s blockchain-powered technology to standardize trade workflows and enhance data transparency for subscription onboarding of alternative ...

(RTTNews) - Automatic Data Processing, Inc. (ADP), an HR and payroll solutions provider, said on Wednesday that it has acquired Pequity, a compensation management software provider. This acquisition ...

Abstract: Despite the remarkable success of CNNs in the classification of images, their accuracy is dependent on the quality of the images they receive. In this study, we will discuss the various ...

There are innumerable types of plants, many of which have therapeutic applications. Traditional medicine frequently makes use of medicinal herbs. Accurate identification of medicinal plants would be ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Contrastive Language-Image Pre-training (CLIP) has become important for modern vision and multimodal models, enabling applications such as zero-shot image classification and serving as vision encoders ...

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

Assessment of clinical utility and microsatellite instability detection on the Marsden360 ctDNA sequencing panel. Preclinical evaluation of 64Cu-labeled cetuximab in immuno-PET for detecting sentinel ...

WASHINGTON — The U.S. Space Force awarded a $77.5 million contract to Astrotech Space Operations to increase satellite processing capacity at Vandenberg Space Force Base in California, an investment ...

Introduction: Accurate environmental image classification is essential for ecological monitoring, climate analysis, disaster detection, and sustainable resource management. However, traditional ...