Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Sydney’s MCA leads a timely institutional conversation with a major summer exhibition that replaces fear of AI with a human ...

HAL wasn’t supposed to become India’s most lucrative defence manufacturer. Yet somewhere between old assembly sheds and new ...

Proposed by Gijs Van Wulfen in 2011, the FORTH Innovation Map Model argues that a good new product idea will help enterprises ...

Introduction Advance care planning (ACP) can support individuals to express their autonomy in the decision-making process for future care. Traditional ACP training for healthcare providers faces ...

Research shows how artificial intelligence is revolutionizing plastics manufacturing through material development and process ...

To identify and evaluate candidate materials, process engineers must analyze an enormous amount of data. Bulk properties like ...

Start your journey into machine learning with EEG time-series data in this easy-to-follow Python project. Perfect for ...

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

Overview AI risk management training is becoming essential across industriesLeading programs now combine governance, ethics, ...