Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

The study uncovers obesity's genetic links to chronic diseases, offering insights into multimorbidity and the potential for ...

Abstract: Thanks to its outstanding performance, the CRC-aided successive cancellation list (CA-SCL) decoding algorithm has gained widespread acceptance for polar codes. However, its complexity is ...

BrainIAC analyzes brain scans across diseases, learns from minimal data, offers hope for rare condition diagnosis.

Deep-learning model decodes the regulatory effects of DNA changes ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

Researchers at Moffitt Cancer Center have developed a new tool to predict how cancer cells evolve. By focusing on chromosome ...

Abstract: Despite the wide variety of applications and use cases that can be solved with the help of machine learning algorithms, researchers have yet to develop a general artificial intelligence ...

Intelligent drones and unmanned aerial systems (UAS) are rapidly evolving from experimental prototypes into essential infrastructure across disaster response, health care delivery, agriculture, ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

During in vitro fertilisation (IVF), embryos undergo genetic testing before they are transferred to the uterus – but researchers have found that a widely used test cannot detect genetic abnormalities ...