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When you see an action picture, say a ball in mid-air or a car driving on the highway in the middle of the desert, your mind is very good at filling in the blanks. Namely, it's a no-brainer that the ball is going to hit the ground or the car will continue to drive in the direction it's facing. For a machine, though, predicting what happens next can be very difficult. In fact, many experts in the field of artificial intelligence think this is one of the missing pieces of the puzzle which when completed might usher in the age of thinking machines. Not reactive, calculated machines like we have today -- real thinking machines that in many ways are indistinguishable from us.

For orchestrating workloads on Azure ML (Machine Learning) batch execution web services, Azure Data Factory supports a built-in activity, namely Azure ML Batch Execution activity. Customers can leverage this activity to operationalize their ML models at scale. Little while ago, Azure ML added support to allow multiple Web Service Inputs for a given experiment. Consequently, customers have been looking to leverage this capability through Azure Data Factory. Data Factory now supports configuring the ML Batch Execution Activity to pass multiple Web Service Inputs to the ML web service.

The future of content may be artificial intelligence. But before we look ahead to what's coming, it might be helpful to first look back at where we've been. With that in mind, let me give you a short history lesson about how the tools that we use to create content have evolved over time. I promise to keep it brief. If we look way back in time, the earliest writing implements emerged at around 4000 BC, when people would fashion pieces of bronze or bone into implements that they could use to mark soft clay tablets.

But some of the clerical work associated with organizing and documenting meetings now might be outsourced to artificially intelligent machines. Isn't artificial intelligence for big tasks such as self-driving cars, automated trading and facial recognition? Once the stuff of science fiction, AI is quickly becoming widespread, available and even commoditized. While AI eventually will play a much larger role in just about everything we all do, the first AI application you touch almost certainly will perform tedious, relatively minor tasks. In business, that means helping you with your meetings.

Wealth management firm and investment bank UBS is running artificial intelligence (AI) trials with some of its richest clients. AI applications being tested include tools designed to read facial expressions and uncover clients' unconscious biases towards or against certain types of investment. The aim is to help the company's cash-rich, but time-poor, clientele to ask the right questions about their decisions, according to UBS. The move comes as little surprise. The financial services market is in the vanguard of automation, AI, machine learning and robotics at a time when many customers prefer app-based mobile banking to online or bricks-and-mortar alternatives. Several international banks plan mass software automation, including HSBC and Bank of America investment arm Merrill Edge.

Hacking into a phone is unlikely to physically hurt the victim. A security research team in China hacked into a Tesla Model S and said they took over the car's brakes from 12 miles away. A video released this week shows members of the research team being thrust forward as the remote hacker slammed the brakes on command. The demonstration took place in an empty parking lot. The team from Keen Security Lab, an arm of Tencent, also used a laptop computer to turn on the windshield wipers, retract the side view mirror and pop open the trunk, all while the car was moving.

A DOCTOR in Mumbai, India, puts a spit sample into a handheld device. The doctor checks the results to see exactly what kind of drug-resistant tuberculosis the person has, and the precise combination of drugs needed to treat it. "If you can identify drug-resistant TB in less than a day, you will massively improve treatment" This is the goal of CRyPTIC, a global project run by a team at the University of Oxford. It aims to speed up the diagnosis and treatment of drug-resistant TB, cutting the wait from months to days, or even minutes. The idea is that the software will prescribe the right medication for TB just by looking at its genome.

Mark Zuckerberg and Priscilla Chan's philanthropic initiative will invest 3 billion over the next decade in an effort to cure and manage all diseases. Speaking at the University of California, San Francisco, Chan announced the Chan Zuckerberg Initiative's latest venture, which will start with a 600 million investment in a project called Biohub that will connect UCSF, UC Berkeley and Stanford University to develop tools to measure and treat diseases. "We believe that the future we want for our children is possible. We set a goal: Can we cure all diseases in our children's lifetime?" Chan said during the talk.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display