How can a doctor predict the treatment outcome of an individual patient? Traditionally, the effectiveness of medical treatments is studied by randomised trials where patients are randomly divided into two groups: one of the groups is given treatment, and the other a placebo. Is this really the only reliable way to evaluate treatment effectiveness, or could something be done differently? How can the effectiveness of a treatment method be evaluated in practice? Could some patients benefit from a treatment that does not cause a response in others?

Inspired Futures AI, a Seattle-area startup, has developed a better way to access the broad array of artificial intelligence algorithms provided by Amazon Web Services ("AWS"), and they've made it open source. The solution has been integrated into their launch product, mytaptrack®, an IoT device that tracks the behaviors and symptoms of special needs children. 

The company democratizing voice technology and building AI for everyone, Mycroft AI, will showcase its revolutionary platform, the Mycroft Mark II at CES 2019 (January 8-11 in Las Vegas). Mycroft turned heads at CES 2018 showcasing its Mycroft Mark 1 and offering a sneak peak of its Mark II prototype.

Emerging trends in artificial intelligence will have a great impact in certain areas in the future, reports Forbes. It goes beyond the “robots will replace the human workforce”.