The Reddit thread that caught Philip Resnik’s attention posed a potentially life-saving question.“Formerly suicidal Redditors ...

AI-assisted GWAS algorithms try to fill in the gaps based on learned patterns. But without knowledge of physiological intricacies, this approach can lead researchers down the wrong path. “The problem ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery.

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, announced the development of a neural network-based quantum-assisted unsupervised data clustering ...

Although gene-editing and other techniques can improve the production of microbe-based biologics, AI could push these drugs ...

Image processing is used in pattern recognition to identify the items in an image, and machine learning is then used to train the system to recognise changes in patterns. Pattern recognition is ...

Uterine fibroids, or leiomyomas, present diagnostic challenges due to symptom overlap with rare but aggressive leiomyosarcomas. Standard imaging tools such as ultrasound and MRI often fail to ...

In a pioneering study from the Expertise Center for Movement Disorders in Groningen, machine learning, a core area of ...

In a major step toward more reliable AI-assisted molecular design ... where the limitations of conventional machine learning models often become apparent. These open domains are common in real ...

While Recentive argued that its application of machine learning in the patents is not ... “We have consistently held, in the context of computer-assisted methods, that such claims are not ...