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

Google launched its new messaging app, Allo, late last night, and its unique name -- which means "other" or "different" by the way -- truly captures what it has to offer. Touted as a "smart" messaging app, Google Allo comes with advanced features designed to make texting and chatting extra-fun and more secure. According to Google's official blog, Allo makes replying to conversations easier and faster with its Smart Reply feature. What this does is, it recalls the typical responses of the user and presents the applicable ones as reply options to a message or a photo. This way, all the user has to do is to tap the response he or she favors.

Back when Google first announced its brand-new chat app Allo, the company told The Verge it would only store messages "transiently," not indefinitely. But since May, when the app was first announced at Google I/O, things have changed a bit in that regard. A Google spokesperson confirmed that messages are now stored on Google's end as long as that chat history is available on your personal device. But once you choose to delete the history, it's also deleted on Google's end -- so users do have control over just how long their messages persist for. Google told me that it made this change after the company pushed the app out to wide testing around the company; it found that the experience was better when it saved chat history for longer.

CUDA is of special interest to our users, since it dramatically boosts performance in parallel computations. This in turn significantly lowers the time required for tuning and training models. While we seamlessly support NVIDIA's cuDNN library of deep learning primitives, we also make the power and performance of the GPUs accessible to end users without cuDNN installed. This kind of stack - all in Java with a "native" backend, however, comes with it's own set of unique challenges. These native operations are essentially a set of independent individual operations applied to the same data.