Here is a summary of some North American research themes, emphasizing the broader areas of funding research and advancing science in fields such as standards and technology, artificial intelligence, the humanities, social sciences, and primatology.
Shai Gordin, Senior Lecturer at Digital Pasts Lab, Ariel University in Israel, provides intriguing insights about reading & deciphering ancient writing systems using AI.
Mary Hardcastle at RapidAI looks at the advancements in health tech, explaining what hospitals need to do to implement Artificial Intelligence in the ER.
Dayna Arnold, Project Manager at Zest Consult, discusses the benefits of using a synthetic data approach to machine learning as an innovative solution for increasing the availability, accuracy & security of more cost effective data.
Shu Wei Goh, Co-Founder of the global AI ecosystem builder and VC firm, Skymind, explores how technologies contribute to the improvement of human welfare & solving global issues.
Adam Nickerson, Head of Category, Digital and IT procurement frameworks at NHS Shared Business Services (NHS SBS), explains how artificial intelligence software (AI) is used to support decision making & transform outcomes for stroke patients.
Medispace, a provider of fully equipped MRI trailers and CT trailers, looks to the future of community diagnostic hubs, advocating for much-needed changes to be implemented.
Machine learning algorithms have found that men are represented four times more than women in literature, with transgender and non-binary people largely missing.
Mr Sanj Lallie, Commercial Director of Digital Pathology from Source LDPath, describes the pathway for a nationwide uptake of digital pathology and Al to build the future of medicine.
It is increasingly important to be able to predict the conditions affecting the generation, distribution and consumption of energy. VTT EnergyTeller is lending a hand
Lester Litchfield, Data & Science Manager, Volpara Health, explores how to build confidence in the use of AI for mammography clinical practice
Artificial Intelligence (AI)...
Though healthcare everywhere advocates for AI, health barriers are presented with minority ethnic groups – as bias can be exacerbated against minority ethnic groups in datasets.
