Prince William, Duke of Cambridge, in his role as President of the Royal Marsden NHS (National Health Service) Foundation Trust, watches as lead surgeon Pardeep Kumar, performs surgery for the removal of a bladder tumour on a male patient during a visit to the Royal Marsden Hospital on November 07, 2013 in Sutton, Greater London. Founded in 2014 and backed by the likes of Salesforce billionaire Marc Benioff with 20 million ( 16 million), the Tel Aviv-based company says it has taught an algorithm to identify early signs of breast cancer with the help of thousands of previous mammograms. That constantly improving algorithm - trained using a technique known as machine learning, which is a type of AI that equips computers with the ability to learn without being explicitly programmed - is now better than radiologists using the best Computer Aided Detection (CAD) methods for mammography, the company claims. Eldad Elnekave, Zebra's chief medical officer, told Business Insider in Tel Aviv that the algorithm can detect half of the breast cancer cases that are currently being missed by radiologists. Radiologists working for the NHS fail to spot breast cancer in thousands of mammograms every year, according to The Telegraph.

Ask Siri or Amazon Alexa to tell you a joke, and you'll probably get something a 10-year-old would scrunch her nose at. Google wants to change that. The company unveiled Google Home, its Amazon Echo-like home assistant, last week. According to the Wall Street Journal, Google hired writers from places like Pixar and the Onion to help spice up the Home's dialogue and give its AI more personality. Apparently there's more work to be done: As Tech Crunch points out, Google currently has a job listing for someone with "experience writing dialogue for plays/screenplays, fiction/interactive fiction, and/or comedy/entertainment." Personality can be hard to nail down in AI.

Advances in robotics and artificial intelligence (AI) are going to completely change how we live and work but the UK government is totally unprepared, MPs have warned. The Science and Technology Committee released a report on Wednesday warning that the UK government "does not yet have a strategy" for equipping citizens with the skills they need to flourish in a world where AI is more prevalent. It also has no strategy for dealing with the social and ethical dilemmas that AI advances present, according to the report. Acting chair of the Science and Technology Committee, Dr Tania Mathias MP, said in a statement: "Artificial intelligence has some way to go before we see systems and robots as portrayed in the creative arts such as Star Wars. At present, 'AI machines' have narrow and specific roles, such as in voice-recognition or playing the board game'Go'. "But science fiction is slowly becoming science fact, and robotics and AI look destined to play an increasing role in our lives over the coming decades.

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

"The future is already here – it's just not very evenly distributed." In an automated world, is it nearly time to put humans out to pasture? Does the future resemble a leisure-time utopia or a robot-tended human-zoo? Will the notion of work become a thing of the past if machines really can do everything better, faster and for longer? From driving taxis, to writing reports, to designing websites, there is or may soon be an artificially intelligent system better equipped to do your job at a fraction of the cost.

As a research scientist at IBM, Malioutov spends part of his time building machine learning systems that solve difficult problems faced by IBM's corporate clients. The team tried several different methods, including various kinds of neural networks, as well as software-generated decision trees that produced clear, human-readable rules. It was hospital policy to send asthma sufferers with pneumonia to intensive care, and this policy worked so well that asthma sufferers almost never developed severe complications. He and other computer scientists are importing techniques from biological research that peer inside networks after the fashion of neuroscientists peering into brains: probing individual components, cataloguing how their internals respond to small changes in inputs, and even removing pieces to see how others compensate.

Data is everywhere – masses of it. And it's helping businesses to make better decisions across departments. Marketing can utilise data to discover the effectiveness of email campaigns, Finance can analyse past trends to make predictions and projections for the future, and Sales can target their follow-up with detailed information on prospective customers. But data is only useful when business tools transform it into valuable information. Data intelligence through algorithms and analytics make business data relatable. The most advanced solutions require enormous amounts of data to be able to offer accurate insight to users.

Alexa can already order you an Uber, control your smart home devices, and keep you company. She's about to learn much better DJ skills, save you six bucks a month on streaming music, and possibly even change the way you listen to music in your house. Amazon Music Unlimited, a beefed-up subscription service built to compete with the likes of Spotify and Apple Music, launches today. It's cheaper than those big-name services--for many users, at least--and it features clever voice control with the company's Echo speakers. If you're using Music Unlimited on an Amazon Echo, Tap, or Dot, the service only costs 4 a month. To use it on anything else--mobile devices, your computer, a Fire TV stick, or even Sonos speakers--the pricing falls more in line with Spotify or Apple Music.

Billions of connected devices, zetabytes of data, power and brand loyalty now in the hands of the consumer, businesses having to market and sell to each and every one of us. How can any business make sense of it all? How can they learn and avoid making the same mistakes – and become smarter. Oh – and did I mention much of this needs to happen in real time? That's where Machine Leaning as part of a cognitive strategy comes in to its own.

A formal branch of artificial intelligence, machine-learning builds systems that learn directly from the data they are fed and effectively program themselves to analyse that data and make accurate predictions. Having already helped multiple business sectors create new models and drive competitive advantage, now it's the turn of the insurance industry. So just how is machine-learning changing the way insurers do business? "It gives insurers three distinct advantages," explains Max Richter, managing director in Accenture's UK insurance analytics group. "The first is to mine greater volumes of data, the second to scale analytics across the organisation by working smarter and faster, and lastly by answering more complex questions from'will this customer leave me at renewal?' to'what can I do about it?'" As such it is quickly becoming an essential tool for the insurance sector, specifically enabling companies to yield higher predictive accuracy as it can fit more flexible and complex models.