We are currently looking for an exceptionally talented and passionate Senior Data Scientist to work closely with product engineering teams to identify development opportunities, strategies and architect plans, and develop algorithmic solutions. We are looking for someone who can generate valuable and actionable insights by utilising advanced statistical techniques and data mining approaches to improve decision making. Also analysing and interpreting the results of new product development experiments, with the ability to communicate the findings to key stakeholders, gaining support and'buy in' for any recommendations. The role As a Senior Data Scientist you will build well maintained models of customer behaviours that influence programmatic decision making. Then evolve and enhance systems and tools for agile data analysis and visualisation.

Microsoft's mini Xbox games console will go on sale on August 2nd, the firm has revealed. The Xbox One S, which comes in a colour called'robot white', is 40 per cent smaller than the original Xbox One and has abandoned the bulky power external supply seen in previous consoles. It also supports 4K Ultra HD video, but will also come with up to 2TB of internal hard disk space - and boasted it will be'the first and only console that allows you to watch Blu-ray movies and stream video in stunning 4K Ultra HD with High Dynamic Range (HDR).' The Xbox One S, which comes in a colour called'robot white', is 40 per cent smaller than the original Xbox One and has abandoned the bulky power external supply seen in previous consoles. Rumours that Sony is working on a more powerful version of the PlayStation 4 have been confirmed.

Artificial intelligence is usually associated with futuristic sci-fi movies and the rise of the machines against humanity. What many people don't realise is that it's commonplace today, and something you've probably not noticed has become a critical part of your life. The intelligence Facebook uses to make friends suggestions or how Google photos recognises faces and places are both examples of AI, and machine learning, in action. AI is also being used in organisations worldwide to augment and assist human employees to do their jobs better and smarter. In South Africa, Stellenbosch-based CLEVVA has developed an AI platform that enables companies to rapidly and easily deploy Virtual Advisors across every aspect of their businesses.

The media interest surrounding deep learning has grown exponentially in the last few years. But what does it actually mean, and how will it change business and society? Deep learning is a subset of machine learning that refers to mapping artificial neural networks to recreate some of the same processes that the human brain performs, and using algorithms with speech, images and text, to recognise, identify and understand patterns in the data. Although this sounds simple, it involves complex processes and functions - but once trained, the application of deep learning algorithms could be world changing. For instance, a machine that learns like a human, but can rapidly process thousands of images and recognise patterns, is already showing promise for applying deep learning to medical imaging.

Monday 18th July 2016, Whitley: Sir Ben Ainslie has hailed Land Rover's artificial intelligence (AI) as a'game changer' ahead of the British America's Cup team's home event in Portsmouth (22-24 July). Land Rover, Title and Exclusive Innovation Partner to Land Rover BAR, is applying its big data processing power and machine learning expertise to help co-engineer the fastest boat in America's Cup history and bring the world's oldest sporting trophy to the UK for the first time. Land Rover engineers, embedded into the team for over a year, are using artificial intelligence to explore and find patterns in sailing performance data to help'make the boat go faster'. When testing, the sailing team receives over 16 GB of uncompressed data per day from sensors on the boat - the equivalent of filling an iPhone's memory. The ability to process and make sense of this volume of data is unprecedented in sailing.

From Pandora to Spotify to Uber to ebay, new companies are disrupting the old with a key platform to enable change: a shift out of the world of enterprise data warehousing and towards a new platform based on machine learning, big & fast data and open source technologies. These changes are allowing new companies to get closer to the insights of their customers, to adapt their business to minute changes and to react and make decisions in real time. This engaging talk will bring some ideas that can help organizations shape their big data journey and adapt to the coming machine learning age.

By learning how to pitch his bot idea while driving a robot, Button.ai Organized by VentureBeat, the international botathon took place July 9-10 in New York, Melbourne, Tel Aviv, and San Francisco. A fifth finalist category was made for people participating online elsewhere in the world. Finals for popular vote and judges' categories were held Tuesday in San Francisco at MobileBeat, a two-day gathering of chatbot and AI leaders, held July 12-13 at The Village. Skoolbot won the portion of the competition decided by judges Phil Libin, an investor in bots from General Catalyst; SmarterChild creator Robert Hoffer; and Alfred Lin, an investor at Sequoia Capital.

Dr George Beaton is a partner in beaton and a senior fellow in Melbourne Law School, Australia. His published works include NewLaw New Rules – A Conversation About the Future of the Legal Services Industry (2013) and Remaking Law Firms: Why & How (2016). You have been a pioneer in research into NewLaw, what place does technology have in NewLaw? Is it central to its development? Just 18 months ago when I wrote Fresh thinking on the evolving BigLaw–NewLaw taxonomy little mention was made of the role of technology in NewLaw or BigLaw business model firms.

In central London this spring, eight of the world's greatest minds performed on a dimly lit stage in a wood-panelled theatre. An audience of hundreds watched in hushed reverence. This was the closing stretch of the 14-round Candidates' Tournament, to decide who would take on the current chess world champion, Viswanathan Anand, later this year. Each round took a day: one game could last seven or eight hours. Sometimes both players would be hunched over their board together, elbows on table, splayed fingers propping up heads as though to support their craniums against tremendous internal pressure. At times, one player would lean forward while his rival slumped back in an executive leather chair like a bored office worker, staring into space. Then the opponent would make his move, stop his clock, and stand up, wandering around to cast an expert glance over the positions in the other games before stalking upstage to pour himself more coffee.

In just over a week, the smartphone game "Pokemon Go" has become a giant hit, turning millions of people around the world into monster hunters. Given the game's promising start, investors are taking another look at Nintendo Co., whose value has shot up by about 1.5 trillion since "Pokemon Go" was released on July 6 in the United States, Australia and New Zealand. Nintendo had been struggling in recent years as people shifted to playing games on smartphones rather than home or hand-held consoles, and the Kyoto-based game innovator was reluctant to enter the field. But last year, Nintendo finally announced it would jump into the smartphone fray. In that sense, some may wonder whether the early success of "Pokemon Go" is a prelude to Nintendo's return to the top of the video game heap.