Ole Winther received a Ph.D. degree from The Niels Bohr Institute at the University of Copenhagen (KU) in 1998. From 1998 to 2001 Ole Winther was post doc at Lund University, Sweden and at Center for Biological Sequence Analysis, Technical University of Denmark (DTU), from 2001 associate professor at DTU and from 2006 group leader in gene regulation at Bioinformatics, KU, part time. Currently, Ole Winther is a professor in Data Science and Complexity at Cognitive Systems, DTU. His main research area is machine learning. Machine learning combines statistical modelling and artificial intelligence.

Smart, connected cars might well be poised to make motor transportation more fuel and time efficient – as well as safer – but that doesn't mean the cars of tomorrow won't be exciting. The RS 7 Sportback piloted driving concept is a 560hp five-door coupe with a top speed of 305kph (189.5mph). Audi has already showcased this luxury machine at Germany's Hockenheim circuit and the Ascari Race Resort – at race pace and without a human at the controls. On track, this RS 7 can apply full throttle on straights, and creates up to 1.1 g of lateral acceleration when cornering. With precisely measured braking ahead of bends, it can produce g-forces of 1.3 g. Turning is smooth and follows a flawless racing line.

Back in 1997, Andy Grove, then chief executive officer of Intel, became one of the first corporate titans to embrace the teachings of Harvard Business School professor Clayton Christensen. Sensing that Intel might be undercut by PC chip rivals with cheaper wares, Grove invited Christensen to speak to his team about industrial leaders of the past who had waited too long to address emerging threats. Within a few quarters, Intel had brought out a line of lower-end Celeron chips for PCs, which pretty much smashed the dreams of Intel wannabes such as Advanced Micro Devices. Intel is no longer a case study in adaptability. On the contrary, it has whiffed in the market for mobile chips used in smartphones and tablets, by far the largest new opportunity for chip makers in the past 10 years.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Nowadays, recommender systems are used to personalize your experience on the web, telling you what to buy, where to eat or even who you should be friends with. People's tastes vary, but generally follow patterns. People tend to like things that are similar to other things they like, and they tend to have similar taste as other people they are close with. Recommender systems try to capture these patterns to help predict what else you might like. E-commerce, social media, video and online news platforms have been actively deploying their own recommender systems to help their customers to choose products more efficiently, which serves win-win strategy.

The pace at which robots and intelligent machines are able to take over the jobs traditionally performed by humans will result in more than half the population being unemployed within 30 years, an expert in computing has predicted. While some may look forward to a life of leisure, many others face the dismal prospect of long-term unemployment as a result of the rise of smart machines, from self-driving cars and intelligent drones to smart financial-trading machines, said Moshe Vardi, professor of computational engineering at Rice University in Houston, Texas. Speaking at the American Association for the Advancement of Science (AAAS) annual meeting in Washington, Professor Vardi predicted that developments in robotics and artificial intelligence will create a workplace revolution unlike any other seen since the start of the industrial age more than two centuries ago. "We are approaching a time when machines will be able to outperform humans at almost any task. I believe that society needs to confront this question before it is upon us," Professor Vardi said. "I do believe that, by 2045, machines will be able to do a very significant fraction of the work a man can do.

Pathologists have been largely diagnosing disease the same way for the past 100 years, by manually reviewing images under a microscope. But new work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed. A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate. "Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," explained pathologist Andrew Beck, MD, PhD, Director of Bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC) and an Associate Professor at Harvard Medical School. "This approach teaches machines to interpret the complex patterns and structure observed in real-life data by building multi-layer artificial neural networks, in a process which is thought to show similarities with the learning process that occurs in layers of neurons in the brain's neocortex, the region where thinking occurs."

We are all familiar with the doomsday scenario depicted by many modern films, when artificial intelligence goes bad and takes over the world. But this is not going to happen, according to Google chairman, Eric Schmidt, who claims that super-intelligent robots will someday help use solve problems such as population growth and climate change. During a talk in Cannes, he said AI will be developed for the benefit of humanity and there will be systems in place in case anything goes awry. Artificial intelligence will let scientists solve some of the world's'hard problems.' During a talk in Cannes, Eric Schmidt said AI will be developed for the benefit of humanity and there will be systems in place in case anything goes awry. 'We've all seen those movies,' he said.

CANNES - Many a CMO is excited about the prospect of having machine-learning algorithms or artificial intelligence (AI) do the heavy lifting when it comes to harvesting actionable insights from the data onslaught. But Kevin Akeroyd, GM and SVP of Oracle Marketing Cloud, does his best to let them down easy, pointing out that there's still plenty to be done today. "Let's not get ahead of ourselves," he told Campaign Asia-Pacific on the sidelines of the Cannes Lions Festival in France. You know what, let's get you really, really good at listening and responding to data before you get yourself all hot and bothered about machine learning. In his view, many brands are not even listening to all the available data, tying it together and making an activation decision up into a consistent channel experience.