O.C.E. Technology, an Irish space technology company, has today presented and demonstrated its new artificial intelligence chip for embedded vision applications at the 2nd European Workshop on On-Board Data Processing.
Sanmay Das, Professor, Computer Science, is conducting an exploratory study in the use of techniques from artificial intelligence to improve early screening and the delivery of targeted assistance to households that are at risk of future homelessness and child maltreatment.
The Institute of Electrical and Electronics Engineers Communications Society recognized an Army researcher and collaborators their work on artificially intelligent techniques that will enhance Soldiers' situational awareness in the multi-domain operating environment.
New AI software developed by researchers at Flinders University shows promise for enabling timely support ahead of relapse in patients with severe mental illness.
Scientists at Cincinnati Children's have been awarded a five-year grant totaling $2.8 million from the National Institute of Child Health and Human Development to develop an automated risk assessment system, which is designed to detect and prevent school violence.
AP-HP Greater Paris University Hospitals, the leading European clinical trial center with the largest amount of healthcare data in France dedicated to research and Owkin, a startup pioneering Federated Learning and AI technologies for medical research and clinical development, announced the recent results of their ongoing strategic collaboration at ASCO 2021.
Trust is an issue when it comes to artificial intelligence (AI) according to a University of Queensland study that found 72 per cent of people don’t trust it, with Australians leading the pack.
Sophi.io, a suite of AI-powered optimization, prediction and automation tools developed by The Globe and Mail, has partnered with Layout International, a supplier of cutting-edge enterprise technology, to transform print production.
Insilico Medicine, a global leader in deep learning for drug discovery and development, is pleased to announce that it has entered into a research collaboration with the Indiana Biosciences Research Institute.
A study shows that a deep neural network model can accurately predict the brain age of healthy patients based on electroencephalogram data recorded during an overnight sleep study, and EEG-predicted brain age indices display unique characteristics within populations with different diseases.