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.

Improving healthcare is a critical application for big data analytics and artificial intelligence (AI). Think of all that available patient information--from medical records, health monitoring devices, drug trials, genetics databases--there is no dearth of data. What is often lacking is a way to aggregate that trove of information and sort through it in a way that makes it useful. If that can be accomplished, patient outcomes could be improved. Given the incentives insurance companies have to keep people healthy (i.e.

As Artificial Intelligence race is on, major tech companies are already developing Chatbots to serve their customer in a better way. Many customer services oriented businesses believe that Artificial Intelligence tool could help their companies. But are not sure if their business is sophisticated enough to implement Chatbots in their systems. While there are some imperatives for implementing an AI-based virtual assistant in your organisation, the entry barrier is much lower than many believe. Chatbots and Service Industry can go together till long extend to solve customer queries efficiently saving human cost and giving customers a pleasant and personalized experience.

From the outside, the single-engine Cessna Caravan that took off from a small airport here on Monday looked unremarkable. But inside the cockpit, in the right seat, a robot with spindly metal tubes and rods for arms and legs and a claw hand grasping the throttle, was doing the flying. In the left seat, a human pilot tapped commands to his mute colleague using an electronic tablet. The demonstration was part of a government and industry collaboration that is attempting to replace the second human pilot in two-person flight crews with robot co-pilots that never tire, get bored, feel stressed out or become distracted. The program's leaders even envision a day when planes and helicopters, large and small, will fly people and cargo without any human pilot on board.

At their best, intelligent tutors present a highly effective and efficient method of grounding students along core knowledge and skills. But they rely on the ability to automatically grade students' responses, which limits the depth of knowledge they can impart and assess. Even as these technologies mature, they will never cater for the full range of students' cognitive and emotional needs. Intelligent tutors must become the great enabler of the deeper instructional experiences that only human educators can deliver.

Ask not what the government can do for Silicon Valley; ask what Silicon Valley can do for the government. He presented WIRED with six challenges he feels the tech industry needs to address--just a few earthshaking problems the country could use some help with, that's all. We reached out to six of the biggest names in the WIRED world, and we gave each of them a challenge from the president's list. Then we asked: To get this done, what's the industry's best play? Silicon Valley runs on stories. So does the economy in general. We create what we believe in. If we believe we can use technology to identify and solve big problems, then that's what we'll do.