Marine plastic litter detected and quantified using deep-learning tool

Researchers at the University of Barcelona have developed an open-access web app, based on deep learning techniques, which enables the detection and quantification of floating marine litter from aerial photography.  Floating marine plastic is a serious threat to the conservation of marine ecosystems. For instance, marine plastics can cause damage to marine animals through ingestion, suffocation, restraint … Read more

Deep learning harnessed to suggest new purposes for drugs

  Researchers from Ohio State University have developed a machine learning method which helps to determine which existing medications could be applied to improve outcomes in diseases for which they have not been prescribed.  Drug repurposing – which accelerates the commercialisation of drugs and lowers the risk associated with safety testing – is not a new concept. … Read more