Blackbox occurs when certain forms of artificial intelligence (AI) such as deep learning or neural network become too complex to explain or transparent enough for one to trace back how a solution was derived. According to a recent article written by Katarzyna Szymielewicz, Polish lawyer; activist an
Researchers from the Department of Computer Science, University of Vermont and Department of Biology, Tufts University had recently co-created a “Xenobot” or what believed to be the first “living robot” built using cells from frog embryos. The research team thought using synthetic materials like ste
In lieu with our flagship event of the year, AIMed had encouraged anyone who has innovative ideas of how artificial intelligence (AI) will transform the future of medicine and healthcare, to participate in our annual Abstract Competition. Participating ideas can be a completed piece of work, an idea
The World Economic Forum Annual Meeting will be held in Davos-Klosters, Switzerland between 21 and 24 January. Seven themes, including “Tech for Good” will be widely discussed at this yearly gather. In lieu of the event, Carla Kriwet, Chief Executive Officer, Connected Care and Health Information at
Zachi Attia had never received any surgical nor medical training. He almost fainted the first time he witnessed an actual cardiac surgery. Yet, he has to spend most of his days at one of the most prestigious medical institutions in the US. Attia is a machine learning expert and he plays an important
Last week, AIMed reflected on the year and highlighted the many new ventures and collaborations between healthcare institutions, technology tycoons and startups, the ongoing debates around ethics, regulations and artificial intelligence (AI) deployments, as well as the up and coming influence from p
Innovations bring changes to our lives but it’s not always the case. Market intelligence platform CB Insights had tabulated 155 biggest product failures of all time earlier this year. All names mentioned failed for a reason: either born too early; bad marketing strategies; unable to deliver what it
In a recent interview with The New England Journal of Medicine, Dr. Adewole Adamson, Dermatologist, Health Services Researcher, and Assistant Professor of Internal Medicine at Dell Medical School, University of Texas explained what machine learning (ML) is and the promises it brought to medicine thr
This August, the UK government announced a £250 million boosts to set up a new National Artificial Intelligence (AI) Laboratory to tackle some of the more pressing challenges facing the NHS (National Health Service) including heart disease and dementia predictions, cancer screenings, and automation