Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to ...

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

A research group is improving digital twins of entire biomanufacturing processes by making existing datasets work harder. The team, now based in the Laboratory of Advanced Manufacturing Process (LAMP) ...

Apple researchers developed an AI model trained on behavioral data collected from wearables, and it performed surprisingly ...

The data wilderness hits major technology initiatives like AI projects when obstacles are created by data accuracy, quality, ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Amnesty International and Big Brother Watch say the Department for Work and Pensions’ ‘unchecked’ and opaque experimentation ...

Google popularized the term "knowledge graph" in this 2012 blog post. Since then, there has been a massive momentum around ...

With the rise of advanced simulation and model-informed drug development (MIDD) techniques like digital twins, researchers ...

As enterprise AI adoption skyrockets, organizations must urgently address escalating data security risks, balancing ...

Cloud computing is a technology that enables users to store and access data or applications on remote servers over the Internet, instead of local devices. Also ...

Objective Long-term azithromycin treatment effectively prevents acute exacerbations of chronic obstructive pulmonary disease (COPD). However, patients would benefit from better identification of ...