Artificial intelligence is all the rage, with headline-grabbing advances being announced at a dizzying pace, and companies building dedicated AI teams as fast as they can. Andrew Ng, chief scientist at Baidu Research, and a major figure in the field of machine learning and AI, says improvements in computer processor design will keep performance advances and breakthroughs coming for the foreseeable future. "Multiple [hardware vendors] have been kind enough to share their roadmaps," Ng says. "I feel very confident that they are credible and we will get more computational power and faster networks in the next several years." The field of AI has gone through phases of rapid progress and hype in the past, quickly followed by a cooling in investment and interest, often referred to as "AI winters."

Palantir CEO Alex Karp Says Going Public Is'A Possibility' Over the past few years, the term "deep learning" has firmly worked its way into business language when the conversation is about Artificial Intelligence (AI), Big Data and analytics. And with good reason – it is an approach to AI which is showing great promise when it comes to developing the autonomous, self-teaching systems which are revolutionizing many industries. Deep Learning is used by Google in its voice and image recognition algorithms, by Netflix and Amazon to decide what you want to watch or buy next, and by researchers at MIT to predict the future. The ever-growing industry which has established itself to sell these tools is always keen to talk about how revolutionary this all is. But what exactly is it?

Unity hires Uber's machine learning head to add to its AI prowess Can AI Finally Help Humans Choose the Right Gift? Will artificial intelligence replace CMOs? Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.

As we've reported previously, the Internet of Things is changing data science, and a visiting executive from analytics company SAS went into further detail into how IoT along with artificial intelligence is reshaping the industry. Oliver Schabenberger is the executive VP of SAS's research and development division and recently appointed CTO, and was recently in Sydney to discuss updates to the new SAS Viya analytics platform and to share his thoughts on the future of the analytics industry. He said that IoT has led to the increasing importance of edge analytics, with data now being observed on a continuum, requiring differing techniques to be deployed depending on observation point, accuracy and speed of data movement. "We can no longer just think about processing data in the cloud; we also have to think about event stream processing," he added. He also said that analytics software is quickly transitioning into the cognitive space, where sensing, listening and gesturing will become common forms of input, and reading and writing of human-like responses will become common forms of output.

Avatar breakthrough as AI that can create a perfect 3D face from a single picture is revealed (and they've tried it out on Donald Trump, Hillary Clinton and even Muhammad Ali) The stunning maps made from three million satellite images... The'golden cigar' UFO: Strange object flashes red and blue... The future of flying: NASA tests radical new embedded jet... Would YOU grow cannabis in your kitchen? The stunning maps made from three million satellite images... The'golden cigar' UFO: Strange object flashes red and blue...

The things we really need are getting more expensive. Other stuff is getting cheaper.

WinHEC (Windows Hardware Engineering Community) is Microsoft's string of conferences designed to get hardware developers jazzed about developing for the Windows platform. Microsoft's goal, like anyone with an ecosystem, is to get their fair share of resources committed to their platform. At this year's WinHEC 2016 in Shenzhen today, Microsoft laid out what could possibly be the biggest look into the future of the personal computing platform we have seen in a while. Part of that has to do with the upcoming Creator's Update that is coming to Windows 10 next year that will enable new and more immersive user experiences. Microsoft brought both Intel and Qualcomm on stage to talk about the developments from each of the companies and how each of them is working with Microsoft to enable new experiences to users with Windows.

The previous post concentrated on deciding if a categorical Machine Learning model should be released for production or not. This post concentrates on interpreting the scores of a regression model and the implication in using it in a decision management feature. Decision management solutions apply business rules written by humans and automatically apply them to the cases they are presented. Digital masters are more likely to include the output from a machine learning prediction into their decision management systems than those who are just starting their digital journey. If the last inspection was 30 days ago then put the battery on the "inspection due" list.