NIIT, a global leader in skills and talent development, today launched a course in Web App Development with MEAN Stack under the DigiNxt Series. The company has recently ventured into Digital Transformation to offer pioneering programs to young aspirants wishing to enter the digital services industry, as well as to IT professionals wishing to reskill themselves for the new digital world. The cutting-edge program will use the student-centred pedagogy of project-based learning to help them carve a successful career in the emerging digital era. Some of the famous web applications like LinkedIn, Netflix, Uber, Paypal, etc. have been built using MEAN Stack. AngularJS, Node.js (MEAN) represents a group of open source technologies which are known to synergize well together, thereby empowering students to launch their own web and mobile apps.

NOTE: This story has been revised from when it was originally published in October 2015 to reflect the latest information. Yesterday, news emerged that Google was using a machine-learning artificial intelligence system called "RankBrain" to help sort through its search results. Wondering how that works and fits in with Google's overall ranking system? Here's what we know about RankBrain. The information covered below comes from three original sources and has been updated over time, with notes where updates have happened.

Adele's record-breaking album 25 is coming to Spotify, Apple Music, and other streaming services tomorrow (or right now if you happen to reading from New Zealand or Australia). While there are other artists who are absent from most music subscription services--Prince and Neil Young come to mind--Adele's 25 is a unique for two reasons: First, it's the best-selling album since 2001, when music sales began their epic collapse. Secondly, 25 has not been made available on any streaming service until now. Other big name recent albums have either limited their release to certain services (Tidal, more often than not) or delayed their streaming debut all together, but these windows and exclusives typically don't last seven months. While the subscription services are undoubtedly thrilled to finally offer Adele's latest, the stunning success she achieved without their help doesn't bode well for the streaming music model.

From within the dark confines of the skull, the brain builds its own version of reality. By weaving together expectations and information gleaned from the senses, the brain creates a story about the outside world. For most of us, the brain is a skilled storyteller, but to spin a sensible yarn, it has to fill in some details itself. "The brain is a guessing machine, trying at each moment of time to guess what is out there," says computational neuroscientist Peggy Seriès. Guesses just slightly off -- like mistaking a smile for a smirk -- rarely cause harm.

WIRE)--Ipswitch, the leader in easy to try, buy and use IT management software, today announced the findings of an independent global study, carried out by analyst firm Freeform Dynamics. The survey examines the attitudes and readiness of IT decision makers with regard to intelligent machines and business systems (machines with decision making and learning capabilities). Exploring the fast-paced adoption of these systems, the report looks at the positive impacts already being observed in the commercial world and the potential barriers to even further mainstream adoption over the next decade. According to the research, investment in intelligent business systems and automation is well underway across the globe. Top current application deployment areas cited by respondents include digital customer engagement systems (55 percent), process automation and workflow systems (52 percent) and automated risk monitoring and management solutions (50 percent).

SITTING IN AN office in San Francisco, Igor Barani calls up some medical scans on his screen. He is the chief executive of Enlitic, one of a host of startups applying deep learning to medicine, starting with the analysis of images such as X-rays and CT scans. It is an obvious use of the technology. Deep learning is renowned for its superhuman prowess at certain forms of image recognition; there are large sets of labelled training data to crunch; and there is tremendous potential to make health care more accurate and efficient. Dr Barani (who used to be an oncologist) points to some CT scans of a patient's lungs, taken from three different angles.

Futurist Ray Kurzweil predicted in 1990 that a computer would beat a human world champion chess player by 1998. In 1997, that actually happened with IBM's Deep Blue. Since then, artificial intelligence (AI) has continued to advance rapidly, making now a good time to brush up on what is considered the next wave of highly disruptive technology. AI consists of many sub disciplines such as natural language processing, computer vision, knowledge representation and reasoning. The technology is making its way into a broad range of industries from marketing with behavioural targeting, to healthcare with accurate and early detection of complex diseases, to infrastructure with smarter urban planning.

SYDNEY: Marketers are looking toward artificial intelligence (AI) to boost capability in measurement and targeting, according to an expert in the field. Karen Nelson-Field, Associate Professor at the University of South Australia and the author of Viral Marketing: The Science of Sharing, addressed this topic at the AdNews Media Summit in Sydney. And she outlined potentially significant opportunities for advertisers in the areas of viewability, ad avoidance, audience measurement and contextual programmatic targeting in real-time. While biometrics and similar technology have been used before to track people's responses to ads in a laboratory setting, Nelson-Field argued this is too removed from how people interact with advertising in real life. She suggested that the next step for marketers is in biometrics with vision AI behind it, a phase that will harness subconscious recollection and provide a more accurate picture of how consumers interact with advertising in real life.

Back in May, I mentioned that ROSS Intelligence, based on IBM's Watson platform, had announced that Baker & Hostetler had agreed to license ROSS Intelligence's artificial intelligence legal research product, ROSS. The firm will use ROSS in its Bankruptcy, Restructuring and Creditors' Rights team. Latham will be using ROSS to streamline their research. As is customary, ROSS is not described as a "robot attorney" but as a complement to the firm attorneys which empowers them. I suspect that is currently quite true, but doubt that it will remain that way.

Complex interdependencies between applications and computing environments can make whitelist-based security nearly impossible to enforce in practice, a Cisco executive has argued as the company debuts a data-centre analytics platform that utilises machine-learning techniques to model and predict the security impact of configuration and application changes. Those changes can wreak havoc with conventional security models built around blacklists that are difficult to keep up to date as the environment changes, vice president of product marketing Rajeev Bhardwaj told CSO Australia as the company debuted a Tetration Analytics platform that surveils the data centre to monitor data flows and application interactions. While many data-centre operators preferred to operate on a zero-trust, whitelist-based security model, that had been difficult to accomplish because of changing interdependencies within the "black box" of the data centre, Bhardwaj said. "The data centre of today has multiple layers of complexity from compute, network, and storage infrastructure as well as virtualisation, firewalls, load balancers and customer applications," he explained. "If something goes wrong it's extremely hard to find out what happened: you look at the black box and don't know which application is talking with which applications, which ports are open, which applications are protected with a firewall."