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What's next in healthcare and digital health? Here are 4 trends to watch

#artificialintelligence

NEW YORK CITY--Uber is looking to get into pharmacy medication delivery. Prescription eyeglass company Warby Parker is moving into virtual eye exams, and audio equipment maker Bose wants to help consumers get better sleep through hearing technology. Consumer-focused companies are rapidly moving further into healthcare, and industry incumbents need to be ready for accelerating change: That was one of the big takeaways from CB Insights' Future of Health conference in Manhattan this week. It's not just startups attacking entrenched interests in healthcare; it's large companies as well, said CB Insights CEO Anand Sanwal during the conference. "The field of play is changing pretty dramatically, and the competitive lines are constantly being redrawn," he said, noting Amazon's "unbundling" of the pharmacy, Apple's unbundling of the clinical trials process and Google's unbundling of the hospital.


Is Artificial Intelligence the next revolution in business? CA Today Partner Content

#artificialintelligence

It's a myth that Artificial Intelligence is just for large corporations. Robotics and automation are transforming the workplace for smaller businesses as the technology becomes ever cheaper and more accessible. There are many reasons to be optimistic about AI. An Accenture report suggests that it could bring an additional £814 billion to the UK economy by 2035, whist research firm Gartner reports that in 2020, AI will create 2.3 million jobs. General AI-based productivity tools are becoming more readily available and increasingly affordable – sometimes even free.


Map shows how breeds of dogs evolved around the globe

Daily Mail - Science & tech

With nearly 400 breeds spanning almost every corner of the planet, dogs have long followed man on his travels. In a bid to piece together the complex evolution of dogs, researchers have looked at the genetic sequences of 161 modern breeds. The resulting map unearths new evidence that dogs travelled with humans across the Bering land bridge 15,000 years ago, and will likely help researchers identify disease-causing genes in both dogs and humans. In a bid to piece together the complex evolution of dogs, researchers have looked at the genetic sequences of 161 modern breeds. Researchers from the National Institutes of Health (NIH) in Maryland say their findings highlight how the oldest dog breeds evolved, or were bred to fill certain roles.


The digital apocalypse: how the games industry is rising again

The Guardian

For 30 years the games industry worked in a certain way. People rented offices and set up studios to create games; they employed staff to work in-house, then got those projects funded and distributed by publishers. If you wanted to opt out of that setup, you worked alone, or in a small team, as an indie developer – you operated in a totally separate stratosphere; the system neatly self-segregated. Meanwhile, in the background, the business worked to the seven-year cycles dictated by the lifespan of the major consoles. It was a machine of discreet components. But that machine is rusting and falling apart.


Idiotypic Immune Networks in Mobile Robot Control

Whitbrook, Amanda, Aickelin, Uwe, Garibaldi, Jonathan

arXiv.org Artificial Intelligence

Jerne's idiotypic network theory postulates that the immune response involves inter-antibody stimulation and suppression as well as matching to antigens. The theory has proved the most popular Artificial Immune System (ais) model for incorporation into behavior-based robotics but guidelines for implementing idiotypic selection are scarce. Furthermore, the direct effects of employing the technique have not been demonstrated in the form of a comparison with non-idiotypic systems. This paper aims to address these issues. A method for integrating an idiotypic ais network with a Reinforcement Learning based control system (rl) is described and the mechanisms underlying antibody stimulation and suppression are explained in detail. Some hypotheses that account for the network advantage are put forward and tested using three systems with increasing idiotypic complexity. The basic rl, a simplified hybrid ais-rl that implements idiotypic selection independently of derived concentration levels and a full hybrid ais-rl scheme are examined. The test bed takes the form of a simulated Pioneer robot that is required to navigate through maze worlds detecting and tracking door markers.