If you've read anything about technology in the news recently you might be inclined to think that Artificial Intelligence (AI) is poised to take over the world, leaving us mere mortals to find new ways to earn a crust. Indeed, the plethora of new services, even turning AI into its own service (AIaaS – AI as a Service), will start to redefine the way we communicate, work, and experience the world. Google's CEO Sundar Pichai has been bold enough to say "In the long run, we're evolving in computing from a'mobile-first' to an'AI-first' world".1The There's a lot that needs to happen before AI can automate entire professions, and we're seeing research that shows that jobs requiring human interaction (thankfully HR is one of these) will be the hardest to replace.2 As with any broad scale changes that affect people's livelihoods and the economies that we rely on for stability, views about the future impacts are many and varied.

Artificial intelligence is expected to transform a wide range of industries, as simple tasks are automated and carried out by machines. The IT sector is no different, with machine learning algorithms increasingly being targeted at automating and improving data centre operations. A notable example has been Google, which recently revealed that it is using its own DeepMind technology to manage power consumption at its huge server farms, reducing the amount of electricity needed by 40 percent. There is also potential for AI technology to automate functions carried out by IT operations teams. Machine learning offers a way to manage infrastructure and react quickly to faults without human intervention.

DeepMind Health, the division of the Google-owned AI company that's focused on building links to healthcare providers to drive the application of machine learning algorithms for preventative medicine, has inked a fresh data-sharing agreement with the NHS Royal Free Hospital Trust in London. It's the second agreement signed between the pair -- and it supersedes their original agreement inked last year, which ran into controversy after a freedom of information request by New Scientist revealed the volume of patient identifiable medical data (PID) flowing from the Royal Free to DeepMind, and raised questions about whether NHS information governance principles were being correctly followed. The data in question was being used to power an app called Streams, built by DeepMind but using an NHS algorithm to generate alerts on patients at risk of Acute Kidney Injury (AKI). At the time the collaboration was made public, last February, no details were provided about how much PID was being shared between DeepMind and the NHS -- leading to huge consternation when the scope of the arrangement emerged. The U.K.'s data watchdog, the ICO, began investigating complaints about the data-sharing agreement. The Streams app also ran into trouble when it was revealed DeepMind and the Royal Free had not registered it as a medical device with the oversight body, the MHRA, despite piloting the app in the Royal Free's hospitals.

On behalf of all at Intel who are focused everyday on supporting you to build, optimize and innovate on Intel architecture, I am proud to announce the launch of Intel Nervana AI Academy. We're at a great moment in the evolution of artificial intelligence (AI) that will open up incredible new experiences fueling the next wave of business opportunity, scientific discovery, and societal improvement. After decades of collectively advancing Intel architecture, we have reached the point that Moore's Law is creating new opportunities for the data science community. We're now supporting artificial intelligence as an enablement technology, through optimized machine and deep learning, providing developers new ways to add value to solutions and applications. Intel is investing heavily in AI and you.

Artificial Intelligence has emerged from the realm of science fiction and become a part of the millennial way of life. The factory of the future is taking shape in Japan and it is being built on an AI platform. Here, robots will learn from each other and every robot will have an embedded GPU to perform real time AI. In 2016, AlphaGo, a computer programme from Google's Deep Mind, had a historic win over the world's most celebrated Go champion, Lee Sedol of South Korea. The same year, Microsoft achieved human parity in speech recognition.

Newsweek and International Business Times are to host an Artificial Intelligence and Data Science in Capital Markets event, taking place on 1 and 2 March 2017 at the Barbican in the City of London. The event, which is taking place in association with Imperial College London will bring together data scientists from banks, hedge funds and fintech startup companies to discuss the frontiers of AI and machine learning technology in financial markets. IBT Media is the parent company of Newsweek and International Business Times. Day one of the event will focus on new and interesting data sets that market participants can capture, clean and extract value from, in the search for benchmark-beating returns. The day's sessions will feature presentations and panels from a range of third party data processors, and providers of exotic data sets, such as IoT, satellite data, freight and customs data, text and social media, financial exchange and order flow data.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

Get the big picture of how machine learning works, its relationship to artificial intelligence, and where companies are putting it to work. Machine learning brings humans and machines closer together by enabling humans to "teach" machines. Machines learn by processing a training data set, which tunes an algorithm. A valid training set contains the features necessary to tune the algorithm. The algorithm allows machines to execute a task, such as classifying email.

It's been hard to ignore bots and virtual assistants lately. Google is integrating its Google Assistant into its smartphones, home devices, and Allo messaging service. Amazon's smart-home Echo device is becoming an "unlikely hit" among American households, selling an estimated 3 million devices since its launch in 2014. And, of course, every day sees a new article about a new bot service, smart messaging service, or digital virtual assistant. In the coverage of bots and AI, however, everything seems to bleed together -- AI, chatbots, personal assistants, voice control, and self-driving cars.

An ex-Apple employee who described Steve Jobs as "very difficult to work with" advised everyone to invest in even the stupidest idea. A 19-year-old who, when he was 15, discovered a cancer-detection method that would cost a patient only three cents. And an artificial intelligence system that almost instantly answers anything you throw at it. Innovation Live had it all in one busy and informative day - proving that there is no end to potential when it comes to innovating. Key figures in innovation converged in Dubai for the anchor event of UAE Innovation Week 2016, which also featured interactive sessions with industry figures and live demonstrations showing what we can expect from technology soon.