The Windows 10 Anniversary Update, the largest update to the PC software since it launched last year, has become available to consumers today. The global update sees Microsoft's virtual assistant Cortana become more central, being used as part of any search, while a new feature called Windows Ink enables users to annotate on their screens more freely, and across different apps, with a stylus. The Anniversary Update comes just days after Microsoft ended a free upgrade program for users eligible to update to Windows 10, which was released in July last year. More than 350 million devices have been upgraded to Windows 10 since the software was released last year. The new update sees Microsoft's virtual assistant Cortana become more central, being used as part of any search. A new feature called Windows Ink enables users to annotate on their screens more freely, and across different apps, with a stylus.

Sticking on a pair of noise-cancelling headphones can make even the most miserable morning commute on public transport more bearable. But this musical solace comes at a price – not being able to hear safety announcements, or even someone calling your name. Amazon could be set to change that, with its plans for a set of noise-cancelling cans which cut the filter when triggered by safety words or phrases, such as someone yelling out for you. Plans in a patent awarded to Amazon detail smart headphones which could suspend noise-cancellation when they hear a key word or phrase. One example of this keyword spotting outlined is someone listening to the headphones when a person says'Hey Ben', at which point the noise-cancellation feature would be suspended for them to hear.

Young adults of the'Tinder generation' are having less sex than any generation since the 1920s, a study suggests. Experts have assumed that people born in the 1990s - known as'Millennials' - were more promiscuous than those who came before, due to the availability and popularity of dating apps such as Tinder and Gridr. But scientists at Florida Atlantic University have found that people aged 20 to 24 today are more likely to abstain from sex than any generation for 90 years. Some 15 per cent percent of this age group in the US have had no sexual partners since turning 18, the researchers found. Of those born in the 1960s, only 6 per cent had not had sex when they were at the same age.

Back in August, Facebook introduced'M', its new personal assistant tool which will live inside Messenger. Like Apple's'Siri' or Microsoft's'Cortana', users will be able to ask questions of M and have the system respond, via message, providing detailed information and assistance as required. Where M goes beyond those previous personal assistant services, however, is that M can do more complex tasks – like booking plane tickets, chasing up a refund on your behalf, or even finding the best deals and making purchases for you, at your request. In constructing M, Facebook's taken a slightly different path. While M is largely AI based, and responds to most queries based on algorithms, M also has a team of people working to help the system deal with more complex requests, stepping in when the system gets confused and providing additional assistance and advice on top of M's binary workings.

There are various thought leaders who believe that we are experiencing the Fourth Industrial Revolution, which is characterized by a range of new technologies that are fusing the physical, digital and biological worlds, impacting all disciplines, economies and industries, and even challenging ideas about what it means to be human. I am certain that healthcare will be the lead industrial area of such a revolution and one of the major catalysts for change is going to be artificial intelligence. With the evolution of digital capacity, more and more data is produced and stored in the digital space. The amount of available digital data is growing by a mind-blowing speed, doubling every two year. In 2013, it encompassed 4.4 zettabytes, however by 2020 the digital universe – the data we create and copy annually – will reach 44 zettabytes, or 44 trillion gigabytes (!).

Short answer (but you will want to keep on reading): both. Artificial intelligence (AI) is no longer science fiction with thrilling tales of robots taking over the world; it is real, current, practical science. Artificial intelligence has already surrounded us in many facets of our day-to-day life. For example, predictive text, or voice recognition such as when you use Siri or Google are commonplace examples of AI usage among laypeople. Technology driven industries are the ones most likely to try and exploit AI to its fullest potential, and the financial industry is no exception.

They might be tall, dark and handsome but men on the dating app Tinder suffer from low self-esteem, a study found. A survey of more than 1,300 men and women revealed that those who use the highly popular smartphone app tend to be less happy with their looks. Psychologists warn the app could be bad for your health, with users drawn into a downward spiral of physical comparisons. Researchers looked at more than 1,300 undergraduate students and asked them to complete questionnaires based on psychological state. They found that one in ten of them used the Tinder app.

The company recently sent out an email to its users announcing the service would shut down on Friday, September 12. "When we introduced Reachit, we wanted to give people the convenience of accessing all of their files from one place...we now have new priorities on Smart Devices, and as a result, we will be withdrawing Reachit," Lenovo said in its email. Reachit was first introduced in May 2015 during the Lenovo Tech World conference as a partnership between Lenovo and Microsoft. It then entered a public beta period, but only became available as a mainstream product in early June 2016. The story behind the story: Although Lenovo says Reachit is going away due to a repositioning of priorities, it's likely Cortana was already useful enough without the app. For example, you could ask a Cortana-powered REACHit to help you find the spreadsheet you were editing on Tuesday while at a local cafe.

We present our solution to the job recommendation task for RecSys Challenge 2016. The main contribution of our work is to combine temporal learning with sequence modeling to capture complex user-item activity patterns to improve job recommendations. First, we propose a time-based ranking model applied to historical observations and a hybrid matrix factorization over time re-weighted interactions. Second, we exploit sequence properties in user-items activities and develop a RNN-based recommendation model. Our solution achieved 5$^{th}$ place in the challenge among more than 100 participants. Notably, the strong performance of our RNN approach shows a promising new direction in employing sequence modeling for recommendation systems.

Given a set $U$ of users and a set of items $I$, a dataset of recommendations can be viewed as a sparse rectangular matrix $A$ of size $|U|\times |I|$ such that $a_{u,i}$ contains the rating the user $u$ assigns to item $i$, $a_{u,i}=?$ if the user $u$ has not rated the item $i$. The goal of a recommender system is to predict replacements to the missing observations $?$ in $A$ in order to make personalized recommendations meeting the user's tastes. A promising approach is the one based on the low-rank nonnegative matrix factorization of $A$ where items and users are represented in terms of a few vectors. These vector can be used for estimating the missing evaluations and to produce new recommendations. In this paper we propose an algorithm based on the nonnegative matrix Factorization approach for predicting the missing entries. Numerical test have been performed to estimate the accuracy in predicting the missing entries and in the recommendations provided and we have compared our technique with others in the literature. We have tested the algorithm on the MovieLens databases containing ratings of users on movies.