Experts predict a revolution in the next 10 years with robot sales assistants, robot manufacturing, chatbots and AI working their way into every area of the fashion sector. Not so many years ago, the height of retail tech was a sales assistant with an iPad. But technology moves fast and yesterday's cutting edge innovation has become today's same old, same old. So what tech is shaking up the business world today and how might it affect the fashion sector? Think robots, drones, machine learning/artificial intelligence, virtual reality and chatbots. All of these make iPads in-store feel almost Stone Age.

Boston: Scientists, including one of Indian-origin, have developed a new artificial intelligence software that can turn any smartphone into an eye-tracking device. Eye-tracking technology - which can determine where in a visual scene people are directing their gaze - has been widely used in psychological experiments and marketing research, but the required pricey hardware has kept it from finding consumer applications. In addition to making existing applications of eye-tracking technology more accessible, the system developed by researchers at Massachusetts Institute of Technology (MIT) and University of Georgia may enable new computer interfaces or help detect signs of incipient neurological disease or mental illness. "Since few people have the external devices, there is no big incentive to develop applications for them," said Aditya Khosla, an MIT graduate student. "Since there are no applications, there's no incentive for people to buy the devices. We thought we should break this circle and try to make an eye tracker that works on a single mobile device, using just your front-facing camera," he said.

We all have our own definitions of what it means to be rich. Depending on where you are, what you do, who you are, having a richer life may have different meanings. But, one thing most of us can agree on is that we all want more time. More time to play, work, learn, and everything else we can think of to make our lives richer. We all think about money.

If you're worried about Facebook artificial intelligence being able to recognize every part of your life or gaining sentience, that future is a long time away. While the company's deep-learning lab has made great strides in facial recognition, its natural language systems are very much in their infancy, according to Yann Lecun, Facebook's director of AI research, who is charged with the task of making the fruits of machine learning more humanlike.

The NVIDIA Inception Program provides early access to the latest GPU hardware, NVIDIA's deep learning experts and engineering teams, technical training, as well as investment in order help them develop products and services with a first-mover advantage. One of its early collaborations is with NYU, whose researchers are set to work alongside NVIDIA scientists and engineers to develop autonomous driving technology, for which NVIDIA has already created the Drive PX2 chips. The team will seek to grow the the current NVIDIA learning system to encompass all aspects of autonomous driving, eliminating the need for hand-programmed rules and procedures like finding lane markings to avoid the creation of a near infinite number of'if, then, else' statements, which is impractical to code when trying to account for the randomness that occurs on the road.

Explore data visualization and exploration concepts with experts from MIT and Microsoft, and get an introduction to machine learning. Get hands-on experience building and deriving insights from machine learning models using R, Python, and Azure Machine Learning. Learn how to use Hadoop technologies in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions.

Web browsers might soon use fuzzy logic to spot redirection spam and save users from being scammed, phished or opening malicious sites unwittingly, according to researchers in India writing in the International Journal of Electronic Security and Digital Forensics. Redirection spam occurs when a user opens a link in an email that leads to an unexpected and often malicious page, or when they open a page that has been hacked or injected with malware, which then redirects to a malicious page. Often the redirection occurs instantaneously and transparently without the user being aware until it is too late and login details or credit card number have been divulged to the criminal third party. Frequently, there will be a malware payload that infects the user's computer at the same time. According to Kanchan Hans of Amity University, in Noida, India, and colleagues, legitimate web page redirections are a ubiquitous part of the web used for server load balancing, link logging and URL rewriting and shortening.

Since 2007, I've read countless versions of the "Apple is doomed" argument, most of them related to the iPhone. Apple was doomed because it dared compete in the smartphone business, then it was doomed when Android came along, and then it was doomed every time a product failed to arouse the imagination of some analyst or journalist. In all this time, however, Apple has been anything but doomed. And it's likely that will not happen in the foreseeable future. Today's version of "Apple is doomed" comes from well-known outspoken software developer Marco Arment, who has often shared his views on Apple's business.

SAN FRANCISCO - SEPTEMBER 08: Google Vice President of Search Product and User Experience Marissa Mayer speaks during an announcement September 8, 2010 in San Francisco, California. Google announced the launch of Google Instant, a faster version of Google search that streams results live as you type your query. Google is consistently exploring all facets of virtual learning with the success of online applications, with a new artificial intelligence lab. Focusing on machines learning for the advancement of its products, Google Research Europe would be based in Switzerland. Following Google's recently launched Assistant, the company's European research team on artificial intelligence would be under the expertise of Emmanuel Mogenet plus up to a few hundred colleagues.

Remember classic Hollywood films in which someone like Mickey Rooney or Judy Garland gushed, "C'mon, gang, let's get a Long-Short Term Memory (LSTM) Neural Network to put on a show"? Um, well, neither do I; but someday that could be the cliche our children remember. According to CBS News, filmmaker Oscar Sharp and his technologist collaborator Ross Goodwin have built a machine that can write screenplays. They fed the neural network (named Benjamin) hundreds of movie scripts and some prompts and it regurgitated a sparse script, which was turned into the short YouTube video "Sunspring". I'm sure a lot of you assumed that Tinseltown was already using artificial intelligence (AI) to crank out its endless sequels and knuckleheaded knockoffs; but, no, this is a new "thought experiment," as CBS calls it.