Can you work out how to mine a diamond in just 4 days? That is the task artificial intelligence will be set in a new competition. The MineRL competition will kick off on 1 June and will take place inside the video game Minecraft. Entrants will have to build an AI that can successfully navigate and survive in the online game and ultimately learn the complex task of how to mine a diamond.

Business and IT leaders grappling with how to build an enterprise AI program that is effective and ethical might want take a page from the AI pioneers who invented the technology that sparked the current AI boom: It's not about the tool set. Rather than starting with the goal of building better tools, they began by identifying the kinds of data sets they believed would drive the evolution of better algorithms and techniques. The data sets needed for businesses to create an ethical AI program are no doubt more nuanced and more nebulous than those that drive better AI tools -- in large part because it's unclear what constitutes ethical AI. Still, the approaches used by the world's leading experts to improve AI probably trump simplistic boardroom notions about good vs. bad AI. At the EmTech Digital conference in San Francisco, AI experts from Stanford and Microsoft elaborated on their methods for developing AI that's designed to have a positive rather than a negative impact on the people, processes and organizations it touches.

Business and IT leaders grappling with how to build an enterprise AI program that is effective and ethical might want take a page from the AI pioneers who invented the technology that sparked the current AI boom: It's not about the tool set. Rather than starting with the goal of building better tools, they began by identifying the kinds of data sets they believed would drive the evolution of better algorithms and techniques. The data sets needed for businesses to create an ethical AI program are no doubt more nuanced and more nebulous than those that drive better AI tools -- in large part because it's unclear what constitutes ethical AI. Still, the approaches used by the world's leading experts to improve AI probably trump simplistic boardroom notions about good vs. bad AI. At the EmTech Digital conference in San Francisco, AI experts from Stanford and Microsoft elaborated on their methods for developing AI that's designed to have a positive rather than a negative impact on the people, processes and organizations it touches.

The swells in the middle of the North Pacific were reaching nine feet when one of two engines on the diesel-powered U.S. naval ship called Sea Hunter shut down. About 1,500 nautical miles from its home base in San Diego, the 132-foot-long craft, which had been cruising at 10 knots, couldn't send a member of its crew to check out the problem--because it didn't have a crew. Sea Hunter's sleek, spiderlike silhouette, with a narrow hull and two outriggers, is a prototype of what could be a new class of autonomous warships for the U.S. Navy. Its artificial intelligence–based controls and navigation system, designed by Leidos Holdings, a defense contractor based in Reston, Va., were seven years in the making. And this maiden voyage--a more than 4,000-mile roundtrip to the giant Pearl Harbor naval station--was its first major proof of concept. Nothing like this had ever been attempted before.

Classical machine learning and deep learning have fantastic applications. One of these applications is the multiclass classification where the last layer may have more than one node (or neuron) predictor. For instance, the most popular multiclass classifier in machine learning is the MNIST digits classifier whilst for deep learning, there is the must try version of MNIST which is the dogs and cats classifier. Now, which one is the best to predict other types of object, insects for example? Thus, I took seven classes of insects (actually, it was six because spiders are not insects but arachnids.

In India, we celebrated the festival of color "Holi" last week. We celebrate the end of the winter with a splash of color because that's what the spring will bring us in a few days. When I was young, the celebrations were sparse. It was the decade of frugal parenting. We waited for festivals so eagerly because it meant parent approved outing and fun.

If building a robocar were just about putting the parts together, we'd be living in the future already

Machine Learning is getting more and more popular in applications and software products, from accounting to hot dog recognition apps. When you add machine learning techniques to exciting projects, you need to be ready for a number of difficulties. The Statsbot team asked Boris Tvaroska to tell us how to prepare a DevOps pipeline for an ML based project. There is no shortage in tutorials and beginner training for data science. Most of them focus on "report" data science.

Because of the label, we think of it as a replacement for human intelligence. But machine learning software is neither artificial nor intelligent.".

SEO is currently changing and shifting thanks to things like Artificial Intelligence and voice searches. Do these changes mean that SEO is dead?