In a classic case of finding a balance between costs and benefits of science, researchers are grappling with the question of how artificial intelligence in medicine can and should be applied to clinical patient care – despite knowing that there are examples where it puts patients' lives at risk. The question was central to a recent university of Adelaide seminar, part of the Research Tuesdays lecture series, titled "Antidote AI." As artificial intelligence grows in sophistication and usefulness, we have begun to see it appearing more and more in everyday life. From AI traffic control and ecological studies, to machine learning finding the origins of a Martian meteorite and reading Arnhem Land rock art, the possibilities seem endless for AI research. The genuine excitement clinicians and artificial intelligence researchers feel for the prospect of AI assisting in patient care is palpable and honourable. Medicine is, after all, about helping people and the ethical foundation is "do no harm."

With excellent, high-quality students, a vibrant research environment, being based in the Suzhou Industrial Park, which houses over 100 Fortune 500 companies, and in close proximity to other higher education institutions, this is a unique opportunity to engage in multi-disciplinary research collaborations and enhance your future career prospects in a teaching and research focused role. The Department of Data Science and Artificial Intelligence and Department of Software Systems and Cybersecurity strive to provide a welcoming and open culture that is inclusive of students and staff of diverse genders, sexes, sexualities, religions and cultures and people with disabilities. In accordance with Monash University's commitment to Athena Swan principles, we particularly encourage applications from women in data science and artificial intelligence. For further information, please see our website: www.monash.edu/it/edi/women-in-it. If deep engagement with Monash Australia and its teaching & research staff, and the opportunity to collaborate with experts across the Faculty of Information Technology within a world top 100 University, is of interest to you, we look forward to receiving your application!

A predictive tool using artificial intelligence could provide hope for earlier diagnosis of type 1 diabetes in children across the UK, reducing the risk of potentially fatal diabetic ketoacidosis (DKA), early research presented at the Diabetes UK Professional Conference 2022 has revealed. Type 1 diabetes is a serious auto-immune condition that cannot yet be prevented, and the gradual destruction of insulin-making beta cells can start months or even years before being diagnosed. Symptoms usually start to appear much closer to diagnosis. Early diagnosis and awareness of the signs and symptoms of diabetes are crucial to ensure that both children and adults who develop it do not become critically ill. A quarter of children and young people (25%1) aren't diagnosed with type 1 diabetes until they are in DKA2, a life-threatening condition that can lead to coma or even death.

Research Fellow or Senior Research Fellow (Deep Learning for Health Trajectory Perdiction) The full-time fixed term post is available until 31st March 2023 (approximately 3 years). You will work with the Principal Investigator (Dr Leandro Pecchia), the project partners and the Warwick GATEKEEPER team for the successful execution of the project. Further information on the project can be read here https://www.gatekeeper-project.eu/ You will have a PhD in Biomedical Engineering or in a relevant discipline (e.g., Computer Science, Information Engineering, Applied Math or similar disciplines). The level of appointment (Research or Senior Research Fellow) will be determined by the successful candidate--s skills and experience, including a proven ability and achievement in research and the ability to generate external funding to support research projects.

Accessing data for investment decisions on environmental, social and governance (ESG) factors can be challenging. Will artificial intelligence (AI) come to the rescue? Responsible investing covers a multitude of issues and risks -- from regulatory, social and cultural issues through to product liabilities, political risk and intellectual property matters to name just a few. Register now -- ESG webinar 28 Sep 2016: Can FinTech and AI solve the ESG data puzzle? The data generated are often unstructured but still need to be processed in real-time to be effective.

The idea of having sex with a robot might seem more like something out of a science fiction film, but one in five of us are now open to the idea, according to new research. A recent survey found 21 per cent of British people would have sex with a droid, and one in three would go on a date. It comes as a leading expert on future technology claims human-on-robot sex will be more common than human-on-human sex by 2050. The survey was done VoucherCodesPro who asked 2,816 sexually active Brits aged 18 to describe which activities they would then carry out with a cyborg. Researchers asked those participants who said they would have sex with a robot why they would do it.

The idea of having sex with a robot might seem more like something out of a science fiction film, but one in five of us are now open to the idea, according to new research. A recent survey found 21 per cent of British people would have sex with a droid, and one in third would go on a date. It comes as a leading expert on future technology claims human-on-robot sex will be more common than human-on-human sex by 2050. The survey was done VoucherCodesPro who asked 2,816 sexually active Brits aged 18 to describe which activities they would then carry out with a cyborg. Researchers asked those participants who said they would have sex with a robot why they would do it.