Intellectual Ventures Laboratory has built a new microscope equipped with artificial intelligence to accurately detect malaria from blood samples. The results of their study were published in IEEE Explore. IVL is the research facility of Intellectual Ventures located in Seattle, which is owned by Charles Delahunt. The development of this new microscope was funded by Bill and Melinda Gates as part of the Global Good Fund. The new microscope is called Autoscope.

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You may have heard the news lately from Guangzhou, China about the firing of robots as waitstaff. Out of three restaurants that used robots to serve customers, two have closed and the third fired its robot workers. The robots couldn't effectively handle soup dishes, often malfunctioned, and had to follow a fixed route that sometimes resulted in clashes. A customer also claimed that robots were unable to do tasks such as topping up water or placing a dish on the table. "The robots weren't able to carry soup or other food steady and they would frequently break down. The boss has decided never to use them again," said one employee.

Machine learning today represents the single biggest investment area at AHL, chief executive Sandy Rattray has told the Financial Times, revealing that Man Group's 19bn-plus, quantitative hedge fund would increasingly adopt the technique for trading across its various vehicles. AHL, which began researching the artificial intelligence niche in 2011 and started deploying the same in trading three years ago, has seen "encouraging" results from the experiment, Rattray said.

Network television is at risk of getting caught in a vicious cycle. As the audience fragments in a million different directions, smaller subsets of that audience see promos for new shows. Then, as new shows draw smaller crowds, even fewer viewers see promos for other programs. The reach of television networks (the total number of viewers who watch for a minute or more once a day) is down a daunting 12 percent in one year. Yet a six percent larger audience has seen the promos for MTV's Viacom networks--even though they're using fewer spots.

I recently enjoyed the series of TV programmes on Sky News and the BBC profiling developments in Artificial Intelligence (AI) and robotics. But while the subject has always fascinated me, what really struck me was the underlying theme of fear that pervaded both programmes: the fear of what advances in AI might mean for the job security and the future of humans. There seems to be a war-like philosophy – if we develop them, they will overtake us, putting our very existence in danger. Robots will take over the world, and we will lose control. Discussions and research about the use of robots can be dated back to the first millennium, but the conversation today is indeed a world away from the musings of days gone by.

In professional cycling, it's well known that a pack of 40 or 50 riders can ride faster and more efficiently than a single rider or small group. As such, you'll often see cycling teams with different goals in a race work together to chase down a breakaway before the finish line. This analogy is one way to think about collaborative multi-agent intelligent systems, which are poised to change the technology landscape for individuals, businesses, and governments, says Dr. Mehdi Dastani, a computer scientist at Utrecht University. The proliferation of these multi-agent systems could lead to significant systemic changes across society in the next decade. "Multi-agent systems are basically a kind of distributed system with sets of software. A set can be very large. They are autonomous, they make their own decisions, they can perceive their environment, "Dastani said.

Sébastien Bratières is a PHD candidate in Engineering at the University of Cambridge, where he researches probabilistic machine learning in the Bayesian methods. His background is in natural language processing and speech recognition. Currently he works for Dawin, a company making speech recognition interfaces.

At the NEXT2016 Google cloud platform user conference in San Francisco held this Wednesday, the internet search tech giant commenced a new machine learning platform for developers. The name of this new service called Google Cloud Machine Learning, and will be initially available in a limited preview edition. As the company chairman Eric Schmidt said that Google believes machine learning is "what's next.". With this new cloud platform, Google will make it easier for developers to apply some of the machine learning tactics used by the company to power features like Smart Reply in Inbox services. "Major Google applications use Cloud Machine Learning, including Photos (image search), the Google app (voice search), Translate and Inbox (Smart Reply)," the company says.

Click to learn more about Yefim (Jeff) Zhuk. Collaboration between people and groups seems to be a thing with a positive sign, although we know how difficult this can be. Distributed knowledge and process systems [9] "allows involved parties, people and companies, negotiate multiple forms of collaboration online while sharing data and services." Collaborative security of service groups is different from a single service security. Simultaneous activity of many services, working on a common task, requires collaborative decision making.