PlayStations are no longer things that sit underneath your TV. Now they get strapped to your face. Sony has released the PlayStation VR, a special headset that represents its first foray into virtual reality gaming. And it might represent many other people's first try with it, too, since it is much cheaper than competing headsets and doesn't require a huge computer system. The PS VR plugs into existing PlayStation 4 consoles with a series of wires.

Alexander the friendly robot visits the Indoor Park to interact with children by telling classic fairy tales, singing and dancing at Westfield London on August 10, 2016 in London, England. For most, Artificial intelligence (AI) – loosely defined as the ability of machines to mimic human intelligence – feels like a known entity borne out of sci-fi and pop culture. However the reality of AI the burgeoning startup sector growing around it is perhaps far more exciting than anything ever dreamed up in Hollywood. AI is a diverse field, mostly dominated by efforts in machine learning that use algorithm frameworks to gather unprecedented amounts of actionable information. Within that field is the subfield of deep learning, which might borrow from fields like computer vision and image recognition to analyze data (text, images, video, speech, music, etc.) in order to properly identify something. Think about a computer seeing millions of pictures of a dog.

Imagine solving mathematical problems where you could use the full physical range of computational possibilities within the laws of the universe, and be inspired by the sublime algorithmic intelligence of the human brain. This is precisely why the emerging field of quantum machine learning (QML) has received so much recent attention. In this blog post, we'd like to discuss the fundamental ideas and applied value of machine learning to computation in general, and then contextualize these ideas in a new way within the paradigm of quantum computation. Machine learning – a subfield of computer science related to computational statistics and pattern recognition – emerged in its modern incarnation in the mid-late 20th century as researchers attempted to build thinking machines. While first-generation artificial intelligence took inspiration from the computers of the 1980s to reason about intelligence and view humans like deterministic, syntactical machines, contemporary artificial intelligence instead chooses to build machines that have the adaptability and variability of human in "coping" with the ill-defined problem of being an individual with incomplete information in a complex world.

Hiring industry has changed very much with the advancement in technology. Today, most Recruiters go through the candidates social profiles(LinkedIn, Facebook, Twitter, Github) along with the Resumes to figure out if the candidate is a good fit for the company. All this sounds like one huge task which is generally spread over days depending on the number of candidates who have applied to the company. One third of new hires quit their job after about six (6) months. It is forecasted that the number of unemployed people will reach more than 212m by 2019. Thus these recruiters just shortlist the candidates based on some hard filters like GPA, Years of experience etc. to shorten the list.

During the past few years, the terms artificial intelligence and machine learning have begun showing up frequently in technology news and websites. Often the two are used as synonyms, but many experts argue that they have subtle but real differences. And of course, the experts sometimes disagree among themselves about what those differences are. In general, however, two things seem clear: first, the term artificial intelligence (AI) is older than the term machine learning (ML), and second, most people consider machine learning to be a subset of artificial intelligence. One of the best graphic representations of this relationship comes from Nvidia's blog.

Any fashion enthusiast will know what an insurmountable task it is to keep up with changing and capricious fashion trends. With ecommerce leading the way for the Indian startup ecosystem, fashion websites have carved a niche for themselves. With Indian ecommerce slated to touch the 100 Bn dollar mark by 2020, the fashion industry stands to own up to 35% worth of shares in the pie. These improving prospects of online fashion retail only add to the increasing competition. Confronted with the challenges of longevity and sustainable growth, fashion sites are keenly turning towards artificial intelligence (AI) to rise over the challenges and provide customers with a customer service that is truly extraordinary and next generation.

Mizuho Financial Group Inc. has entered talks with information technology startup Metaps Inc. about forming a business alliance on settlement services using advanced financial technology, Jiji Press learned Thursday. Metaps is a leading provider of fintech services, which use artificial intelligence and big data. The envisaged tie-up is aimed at developing new settlement services, sources said. The predecessor of Metaps was established in Tokyo in September 2007. The firm offers online settlement services, including Spike.

In Boulder, Colo., network-connected stoplights can be adjusted to allow emergency vehicles to have free access when needed. The city uses "smart signs" connected to servers that count the cars that go in and out of parking garages and post messages when spots are filling up. And in the public library, staff members can walk up and down aisles with a wand that will tell them if a book is missing or placed in the wrong spot. These are just a few examples of the various Internet of Things (IoT) sensors and other connected devices in Boulder, where electrical, solar and HVAC systems are also tied into IP networks. Designing a wireless network to support these applications was a learning process for the city's IT department, says Benjamin Edelen, a senior system administrator there.

The workshop will take participants through the conceptual and applied foundations of the subject.

"I wish I could touch you," Theodore says, laying in bed. Until she speaks up, tentatively. "How would you touch me?" It's a famously poignant scene from the movie Her, as the character Theodore is about to make vocal love to an artificial intelligence living in his ear. But according to half a dozen experts I interviewed, ranging from industrial designer Gadi Amit to the usability guru Don Norman, in-ear assistants aren't science fiction. In fact, a notable pile of discreet, wireless earbuds enabling just this idea are coming to market now. Sony recently released its first in-ear assistant, the Xperia Ear. Intel showed off a similar proof-of-concept last year.