Researchers at Google and several universities recently made key progress in developing artificial intelligence (AI) that is itself able to write AI software, reports MIT Technology Review . In an experiment, AI researchers from Google Brain allowed software to develop the design for a machine learning system to recognize human speech. This software produced better results than software designs for machine learning that had previously been created by people, the researchers write in a scientific paper submitted to a conference. This paper has not yet been subject to peer review – so testing of these results by other researchers still remains to be done. Other research groups have also reported similar progress in recent months in the field of machine learning using artificial neural networks – the most promising technology in artificial intelligence in recent years.

Scality CEO Jérôme Lecat takes a look at how deep learning can transform businesses. If you work in information technology the chances are you have noticed regular articles in the media about artificial intelligence (AI), machine learning and deep learning. Some commentators make no distinction between these terms and they often use them interchangeably. But to attribute the same meaning to these names is an oversimplification which is unhelpful to those looking for new ways to add value to their businesses. While AI, machine learning and deep learning are often intertwined, they hinge upon different technologies and have their own unique attributes.

But look five years down the road to 2022, and "branding" the way we understand it today may hardly exist at all. According to experts, the future is rife with personalized logos, brands built by artificial intelligence, and even brands literally living inside our bodies. Jez Frampton, global CEO of the branding agency Interbrand, describes it as the "Age of You." To eliminate friction between brands and consumers. Of course, this could be construed as a tremendous invasion of privacy--a dystopian vision in which the separation between who we are and what we buy dissolves into the ether.

On Wednesday, January 25, 2017, Baidu chief scientist, Coursera co-founder, and Stanford adjunct professor Andrew Ng spoke at the Stanford MSx Future Forum. The Future Forum is a discussion series that explores the trends that are changing the future. During his talk, Professor Ng discussed how artificial intelligence (AI) is transforming industry after industry.

With the rise of machine learning, concerns are being voiced about the future involvement of humans in jobs that computers can handle. But at the same time, alternative views are being offered on ways in which the human element will influence the direction of data science, with passion playing a large role in that survival. "I think data science is one area in which a woman … will have a huge opportunity to move the needle," said Stephanie Gottlib-Zeh (pictured), president of Agyleo Sport. In her view, insularity is something more likely to damage an enterprise than to sustain it, and drawing in a diversity of viewpoints is a big step toward protecting against that sort of stagnancy. Gottlib-Zeh (pictured), president of Agyleo Sport, shared her thoughts on the ways in which data is changing business and how tech workers should aim for jobs that excite them.

By Pierfrancesco Manenti, vice president research, SCM World "Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it." These were the words used in 1955 to launch the very first research project that coined the term'artificial intelligence'. Fast forward 60 years and artificial intelligence – or machine learning as many call it – is emerging as the next big technology. In SCM World's 2016 Future of Supply Chain Survey, we found big jumps in importance for a series of disruptive technologies with respect to supply chain strategies, some of which were considered largely irrelevant just a couple of years ago. One of these is machine learning, which in 2016 cemented its place in the technology mainstream.

The 2017 landscape for retail e-commerce is the ability to understand the customer experiences. The advances in robotics and AI are more relevant in the e-commerce space more than anywhere else. This holds not only true for marketers but also informed decisions that technology has to predict the next customer move. It's no wonder that world economic forum has dubbed 2016 as starting point for fourth industrial revolution The attention span of buyers is very small and incorrect results can lead to potential loss of customers. Machine learning (M/L) algorithms discover complex patterns or data sets that need not have to be preprogrammed.

New phone generation Vocal high technology Dual camera High speed charge Aluminum Unibody wrapped with natural resin. Alo is part of this class of objects that will become indispensable. It is equipped with high performance speech recognition and Artificial Intelligence that self learns. The more you talk to him the more he recognizes your language and responds to your calls. Equipped with a molded aluminum alloy technology core, giving it lightness and robustness, it is covered with a gelatinous, supple and natural envelope that perfectly fits your hand.

People's health is a serious business, where the tolerance for error should approach zero. This is certainly one reason that robotic assistance systems have found their way into more and more operating rooms worldwide in recent years, because robots and artificial intelligence can help doctors, nurses and care providers perform at their very best. The most commonly used surgical system using robotic engineering today is DaVinci, which allows doctors to conduct minimally invasive surgeries from a computer screen. DaVinci eliminates unintended movements, such as a tremble of the surgeon's hand. This surgical robot cannot be programmed, however.

Prism Skylabs is using Microsoft Cognitive Services to help businesses search, analyze and categorize their videos automatically with artificial intelligence. Prism created its Prism Vision app using the Computer Vision API from Microsoft Cognitive Services. The company also developed strategic partnerships with companies around the world, helping them search through pictures, closed-circuit and security camera footage and other video for specific events, items and people. Through this, the company was able to track and measure 4.5 billion interactions with customers.