Samsung is all out to join the artificial intelligence (AI) race as the South Korean giant has agreed to acquire Viv Labs, the startup behind Viv an AI assistant system which is "radically simplifying the world by providing an intelligent interface to everything." Interestingly, Viv was co-founded by Dag Kittlaus, Adam Cheyer and Chris Brigham, the creators of Apple's Siri. The trio founded Viv in 2012, which is an intelligent assistant and an open platform wherein any developer can add more knowledge and capabilities to it. Viv was unveiled at Disrupt NY tech conference in New York back in May. The news about Samsung acquiring Viv Labs was confirmed by TechCrunch, and also through a blog post by Kittlaus.

Samsung in its pursuit to detach itself from over reliant on Google, has now acquired Viv Labs and intelligent interface company that was also the brain behind Apples Sire. Viv has developed a unique, open artificial intelligence platform that allows third-party developers to use and build conversational assistants and integrate a natural language-based interface into applications and services. With the acquisition, Samsung is able to close the loop with its award winning hardware and couple with now an interface that has been missing in its smartphones. It can now be able to unlock and offer new service experiences for its customers, including simpler interaction. The rise of AI will lead consumers to interact with technology that is conversational, personalized and contextual.

For lawyers, that will mean creating legal algorithms to automate at least the routine parts of their practices. Starting perhaps with those tasks that are frequently undertaken and are less legally complex. Over time, the complexity will increase as intelligent software becomes more capable. Either way, what we are seeing is the intersection between technologies capable of creating legal algorithms and an Internet capable of distributing services on-line. In the same way that consumers today demand device driven Apps to consume goods, in time professional services will be demanded similarly by businesses. Clients will likely be the driving force for change within law firms.

Google has intelligent plans to develop smartphone as a platform. In future there will be only device for several means, with artificial intelligence to communicate. After "Mobile first" we are at the transition to the era of artificial intelligence, says the CEO. Google has developed its artificial intelligence in recent years and now it s ready to be unleashed on the people. According to the plan Google's assistant is to become a universal service provider that can handle a variety of tasks for its users.

The American Institute of Artificial Intelligence is announcing the launch of the world's first and most comprehensive Artificial Intelligence Governance Model and product. Built by performing comprehensive literature reviews and analysis from several fields (Political Science, Sociology. Economics, Philosophy, Computer Science, Ethics, Theology, Law, Communications, Business, Finance, Neuroscience, and many others), the AI Governance Model is designed to address thousands of data points through multi-dimensional analysis. To address public concerns, improve safety of humans, create transparency, and achieve social good and regulatory compliance, the model can be used by different types of entities including small, medium and large companies, government agencies, institutions and others. "Recent research indicates that more than half of UK adults are worried about robots. Our top intellectuals and leaders have warned us that artificial intelligence can pose a serious threat to humankind. Even the White House is concerned and has organized various conferences on the topic. At the American Institute of Artificial Intelligence, we believe that the best way to advance artificial intelligence is to do it responsibly. The AI revolution is by far the greatest change in the history of human civilization and should be approached with the same respect and consideration as we approach nuclear technology and climate change." said Al Naqvi, president of the American Institute of Artificial Intelligence.

Artificial intelligence has always been a hot topic. The problem of creating a machine that can think, make its own decisions and at the same time lacks human limitations, has always aroused controversies. Because what is the artificial intelligence, what do we know about it? Is it going to be human's best friend or maybe the worst enemy? We all remember what the infamous Skynet has done to our planet in Terminator series, right? We can also recall this nasty feeling of a cold shiver running down our spines when Neo has woken up from the Matrix.

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For a deep dive into emerging AI techniques and technologies, join us September 26-27, 2016, for the O'Reilly Artificial Intelligence Conference in New York. If a figure be anyhow divided and the compartments differently coloured so that figures with any portion of common boundary line are differently coloured--four colours may be wanted, but not more--the following is the case in which four colours are wanted. Query cannot a necessity for five or more be invented. That is, you'll never need more than four colors on an ordinary two-dimensional map in order to color every country differently from the countries adjoining it. A proof for the four-color conjecture evaded mathematicians until 1976, when Kenneth Appel and Wolfgang Haken announced a solution.

Machine learning – the technology which allows machines to learn from data and self-improve – has significant potential for advancing a range of industries, as we've previously discussed in relation to manufacturing and the professions. On 8 September, the Royal Society held a workshop on the use of machine learning in the UK pharmaceutical sector. We explored what machine learning could do, and barriers to its use, with global pharmaceutical companies, sector associations, regulators, start-ups and SMEs. This blog post gives a few highlights from the discussion. Its ability to spot patterns in large volumes of data gives machine learning a range of applications in the pharmaceutical sector.

To Baldi, scientists should embrace deep learning without being "too anal" about the black box.