† Glasgow Polyomics, University of Glasgow, Glasgow G61 1HQ, United Kingdom ‡ Institute of Cardiovascular and Medical Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, ...

Abstract: Text-to-image person re-identification (TIReID) aims to retrieve the target pedestrians according to specific textual descriptions. Benefiting from abundant annotated training data, current ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. As machine learning continues to reshape the financial services industry, most headlines are ...

The primary aim is to assess the impact of a multidomain intervention that integrates education, exercise, psychological techniques and machine learning feedback on the duration athletes remain free ...

Abstract: Contrastive unsupervised representation learning (CURL) is a technique that seeks to learn feature sets from unlabeled data. It has found widespread and successful application in ...

Unsupervised Domain Adaptation (UDA) aims to improve model performance in a target domain using unlabeled data. Pre-trained language models (PrLMs) have shown promising results in UDA, leveraging ...

Simply sign up to the Artificial intelligence myFT Digest -- delivered directly to your inbox. Algorithm: A sequence of rules that a computer follows to complete a task — it takes an input, for ...

Automatic detection of macromolecular complexes is an open and challenging problem in cellular cryoelectron tomography. Existing computational methods rely on known structural templates or manually ...

The promise of precision population health includes the ability to use robust patient data to tailor prevention and care to specific groups. Advanced analytics may allow for automated detection of ...

Yoshua Bengio, Yann LeCun, and Geoffrey Hinton are recipients of the 2018 ACM A.M. Turing Award for breakthroughs that have made deep neural networks a critical component of computing. Research on ...