Annotating regions of interest in medical images, a process known as segmentation, is often one of the first steps clinical ...

IBM’s Watson Studio and Cloud Pak for Data is one financial AI factory. It helps banks integrate data, manage model ...

MIT researchers developed an interactive, AI-based system that enables users to rapidly annotate areas of interest in new biomedical imaging datasets, without training a machine-learning model in ...

Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

The principles that made the Internet so successful can guide us in building the next wave of AI systems.

Heal, combines AI, imaging, and bioelectronics to speed up wound recovery. It continuously monitors wounds, diagnoses healing ...

Abstract: Distributed Artificial Intelligence-Generated Content (AIGC) has attracted significant attention, but two key challenges remain: maximizing subjective Quality of Experience (QoE) and ...

Abstract: The Vehicle Routing Problem with Multiple Soft Time Windows (VRPMSTW) is a challenging combinatorial optimization problem where a fleet of vehicles must deliver goods to a set of customers, ...

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...

Neurodegenerative diseases—such as Alzheimer’s, Parkinson’s, Huntington’s, and ALS—are progressive disorders characterized by the loss of structure and ...