The GATEKEEPER Project — of which MultiMed Engineers is Partner — is publishing a series of free Webinars on the conception, deployment and assessment of Smart Living Environments.
Source: Education | GATEKEEPER PROJECT
The GATEKEEPER Project — of which MultiMed Engineers is Partner — is publishing a series of free Webinars on the conception, deployment and assessment of Smart Living Environments.
Source: Education | GATEKEEPER PROJECT
The last time you had your blood pressure checked, it was probably at a doctor’s office with a bulky cuff wrapped around your arm. One day soon, perhaps, you will just need a simple stick-on patch on your neck, no bigger than a postage stamp. That’s the goal of Sheng Xu and his team at the…
Source: A stretchy stick-on patch can take blood pressure readings from deep inside your body
A startup called CogitAI has developed a platform that lets companies use reinforcement learning, the technique that gave AlphaGo mastery of the board game Go. Gaining experience: AlphaGo, an AI program developed by DeepMind, taught itself to play Go by practicing. It’s practically impossible for a programmer to manually code in the best strategies for winning. Instead, reinforcement…
Source: Now any business can access the same type of AI that powered AlphaGo
The Lylye of Medicynes is a 15th-century manuscript residing in the Bodleian Library in Oxford, England. It is a Middle English translation of an earlier Latin treatise on disease, containing case studies and treatment recipes. It was an influential text thought to have originally belonged to Robert Broke, personal apothecary to the English monarch Henry…
Source: Data-mining medieval text reveals medically bioactive ingredients
David Duvenaud was collaborating on a project involving medical data when he ran up against a major shortcoming in AI. An AI researcher at the University of Toronto, he wanted to build a deep-learning model that would predict a patient’s health over time. But data from medical records is kind of messy: throughout your life, you might visit the…
Source: A radical new neural network design could overcome big challenges in AI