Well I finally got one, but it turned out to be a vacuum cleaner rather than a talking walking friend. In the next 5 years we are going to start to see Robots and Artificial Intelligence (AI) have a big impact on all our working lives. Driverless trucks & cars In the next 5 years we will start to see the first driverless vehicles on our roads. Imagine how this will impact the daily commute. Instead of being stuck behind the wheel you can sit at a table working, watching TV, or even doing your gym workout on a treadmill.

THE TERM "artificial intelligence" has been associated with hubris and disappointment since its earliest days. It was coined in a research proposal from 1956, which imagined that significant progress could be made in getting machines to "solve kinds of problems now reserved for humans…if a carefully selected group of scientists work on it together for a summer". That proved to be rather optimistic, to say the least, and despite occasional bursts of progress and enthusiasm in the decades that followed, AI research became notorious for promising much more than it could deliver. Researchers mostly ended up avoiding the term altogether, preferring to talk instead about "expert systems" or "neural networks". But in the past couple of years there has been a dramatic turnaround.

TOKYO--Japanese smartphone-game provider DeNA Co. said Thursday it has set up a company with Preferred Networks Inc., becoming the latest major firm to bet on the startup's artificial-intelligence technology for growth. The joint project might mean Nintendo Co.'s future smartphone games would be powered by the technology, further beefing up the business potential of its popular characters, including Pokémon, for example, which was...

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Singapore has announced a new partnership with Microsoft to create a digital government services platform that will shift towards conversational computing. Announcing the initiative at the World Cities Summit in the city-state on 12 July, Dr Vivian Balakrishnan, Minister for Foreign Affairs and Minister-In-Charge of the Smart Nation Initiative, said the new medium, conceptually referred to as "Conversations as a Platform" will use chatbots -- intelligent software programmes that simulate human behaviour. "I believe there are more intuitive ways for government services to be delivered to our citizens," Dr Balakrishnan said. The chatbots, which combine human language, artificial intelligence and machine learning, are envisioned to make public and business transactions simpler, more efficient, and more consistent. "Everybody expects responsive and personalised interactions in real time. The recent quantum improvement of natural language processing means that'conversations' will be the new medium," he said.

Discovering a new drug is no easy task. Once scientists have isolated or synthesized a particular compound, they then have to figure out what it's good for. To make sure it works, they conduct experiments in petri dishes, then in mice, then in larger mammals, and eventually in humans--a (pricey) gauntlet that just 6 percent of drugs pass through. Big data analytics company In Silico Medicine wants to change all that. Using a deep learning technique that can analyze how compounds affect cells, the researchers can not only determine what new drugs could be used to treat, but also its dose and possible side effects on other parts of the body.

In the future, the development of artificial intelligence (AI) will accelerate beyond anything we have previously imagined. It will offer limitless possibilities – changing our experiences, transforming every area of life and redefining how we interact with technology. Yet AI is not just future fantasy. It is here and now, gaining momentum through advances in machine learning, neural networks and big data. These are exciting times and the UK is right at the heart of it.

Wipro HOLMES – Artificial Intelligence Platform is a rich set of cognitive computing services for the development of digital virtual agents, predictive systems, cognitive process automation, visual computing applications, knowledge virtualization, robotics and drones.

Since presidential campaigns have incorporated social media into their strategic messaging, it has become more challenging for journalists to cover the election in depth, because of the large amount of data generated by candidates and the public every day. Journalists tend to focus on single quotes or tweets rather than providing analysis and reporting on the aggregate of messages on social media. But single tweets may not give people a full appreciation for the style of campaigning or the substance of the rest of the tweets. In order to get a sense of what the candidates and public are actually saying and how candidates communicate over time, we have taken a computational approach to predict categories of candidate-produced tweets and posts (as described in a blog post introducing the Illuminating 2016 project). We have been working on a system that automatically classifies each message into a category based on what the message is trying to do: urge people to act, change their opinions through persuasion, inform them about some activity or event, honoring or mourning people or holidays, or on Twitter having a conversation with members of the public.

Sports analytics has been successfully applied in sports like baseball and basketball. However, its application in soccer has been limited. There is a need to find out if the application of Machine Learning can bring better and more insightful results in soccer analytics. In this thesis, we perform descriptive as well as predictive analysis of soccer matches and player performances. In soccer, it is popular to rely on ratings by experts to assess a player's performance.