A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Blockchain is a promising solution for secure data sharing in the Internet of Things (IoT) networks, but existing systems ...

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Due to their error-prone hardware, quantum computers have not yet found practical use. One promising solution is quantum error correction: special methods are used to find and correct errors in the ...

A novel AI method inspired by the Sabarimala Yatra enhances problem-solving in science and medicine. Discover its ...

The CP2K open-source package is among the top three most widely used research software suites worldwide for simulating the ...

Abstract: Linear Inverse Problems (LIPs) with non-negative sparse constraints on the target signal are critical in numerous applications across various fields. Among the recently proposed methods ...

Abstract: Deep learning algorithms have become a trending approach for transformer fault diagnosis. However, challenges such as data imbalance leading to poor model learning performance and ...

How the Cyberspace Administration of China inadvertently made a guide to the country’s homegrown AI revolution.

Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...