Just when you thought that 2016 was practically over as far as the big smartphones are concerned, Google drops us a bombshell of a device. The Google Pixel and Pixel XL are, indeed, groundbreaking smartphones in the history of Android, tough less because of the specs and more because of its features and implications. But for now, we set aside the conspiracies and ignore the conspiracies. For now, we dig deep into those very hardware and software features to see if the Pixel is truly a blast or just a dud. As with any smartphone, the first thing people will notice will be the device's design.

The idea of falling in love with a robot is not currently accepted in any society in the world--most likely because robots are regarded as nonliving objects. But as AI evolves, it has the potential to surpass human intelligence, so, at some point, robots may not be perceived as objects anymore, but as equivalent to humans. Many of the companies developing companion robots design them with humanlike functionality, such as the ability to identify their owner's feelings and to evolve their knowledge based on their owner's lifestyle and preferences. The ultimate goal is to ensure the human is happy and satisfied. In this report, we examine how technological advancements could revolutionize relationships and love between human beings and robots.

It is no secret that chatbots are not a new technology, but the recent interest in chatbots is playing one very important role in the evolution of Artificial Intelligence, they are helping A.I become publicly accessible and accepted. Even with all the technological advances we have seen over the last few years, there is still a fairly large disconnect between technology and the general public and businesses, particularly true in the case of A.I. A.I has been for a number of years, a taboo subject, an issue that I have had to face and tackle in my personal and business life. Through valid warnings about loss of jobs through automation, warnings from Elon Musk & Stephen Hawking, and thanks to films like the Terminator, the Matrix and iRobot, A.I has not had a very good start, with most of the world fearing the advancements of this life changing technology. Through chatbots, the world has seemed to take a step back from these fears and begun to accept that A.I is part of our lives now. Although they have been using A.I in their everyday life for many years on platforms such as Facebook and Google, they haven't seemed to really be aware of it, or turned a blind eye to it.

His main point was that current AI is narrowly defined, and not that good at anything other than the most common cases.

It's easy to say that it's a boring time for mobile phones: every company has converged on one very similar design, a sheet of glass, metal and curved edges built around a black rectangle in the middle that shows you an increasingly stagnating operating system. And that's true, but also not, because Samsung's phones are blowing up on planes and literally threatening lives. It's into this strange market of stagnation and explosions that Google has released the first phone it had made itself. The stakes have never been higher – as well as Samsung's worries, Apple is also seeing growth in sales of the iPhone slow – but the opportunity has never been bigger. Google has had phones before, of course.

Like doesn't have a version number new?" The line, from Google's ad introducing its new Pixel smartphone, is a clear dig at Apple's iPhone 7 and 7 Plus, which some critics derided as just a modest update. By contrast, Google's new flagship smartphone has been redesigned and rebranded. The Pixel represents a strategy shift for the search giant, which is known more for its advancements in software, algorithms, and online advertising rather than hardware. With the Pixel, Google is looking to change that perception.

Want to become a machine learning expert in supervised and unsupervised learning? MACHINE LEARNING (ML) is the construction of algorithms that one can learn from and respond to large data sets faster and make effective predictions. It instructs computers to find patterns in data without being explicitly programmed. As data grows in volume and becomes more complex, the applications of ML are becoming widespread and all pervasive. These courses are structured in a exciting way and at the same time they dive deep into Machine Learning.

Yet another level is distributed computing. It means multiple machines cooperating as single system to reach common goal. Distributed computing is not always the solution, it is actually often misused for problems that could be solved more efficiently on a single machine. It also introduces many new complexities that may not be necessary, including having to worry about concurrency, time, order, message delivery, network latency, consistency, failures or deployment. Companies including Baidu or Google reportedly use optimized single machine implementations or high performance computing utilising GPUs on single machine or supercomputers for machine learning and other expensive algorithms, but TensorFlow or Spark are prime examples of distributed systems used for this puprose.

Imagine a Personal Assistant Bot, a machine or application that you could ask to organise a meeting or arrange bookings just as you would a live, human assistant. As Artificial Intelligence (AI) becomes more prevalent and approaches advance, such a scenario may be more realistic than you think. This is according to DataProphet MD Frans Cronje, who highlights that there will be a number of exciting developments and new approaches to AI in the short- and long-term future as the application matures and continues being explored. "A subset of AI, Machine Learning has driven the majority of advances in recent years, many of which are improvements on or augmentations to existing processes." Cronje explains that there are multiple cases where improved machine learning models have extended the capability of AI.

Whenever people get asked to come up with their vision of the future, a few themes crop up again and again. Flying cars, hoverboards (the real kind, not the wheeled, self-righting ones that don't hover and occasionally burst into flames) and virtual reality are all popular ideas. But what people really seem to want is functioning robots. We've had a fascination with artificial intelligence since the earliest days of computing, which shows no sign of going away any time soon, if HBO's new big-budget show Westworld is any indication. But in fact, this future may be a lot closer than many people realise.