In turn, each layer of abstraction lets a larger group of developers build more proficient programs in less time. AI is at the level of the assembly language currently. Toolkits like TensorFlow are phenomenally helpful for data scientists previously used to working at the equivalent of the machine code level, but there are only about 19,000 data scientists worldwide. Bonsai's AI Engine works at a higher level of abstraction so millions of developers, and the companies that employ them, can more efficiently build AI into applications and systems. Imagine when the developers at GE, the U.S. Department of Education or the Red Cross are able to program intelligent applications as quickly and collaboratively as they might program a database. Scaled with AI technology, the unique expertise and data locked within these organizations stand to create monumental change.

Presidential advisors want more information on artificial intelligence and cognitive technology. In order to use it to best serve the people, the White House asked what leaders should consider when applying technology like Watson to challenges and opportunities in matters like education, the economy and climate change. In it's public response, IBM wrote back: "We believe that many of the ambiguities and inefficiencies of the critical systems that facilitate life on this planet can be eliminated. And we believe that AI systems are the tools that will help us accomplish these ambitious goals."

Google's Android dominates the smartphone market overall, but Apple has attracted a disproportionate share of high-end users -- and consequently an outsize share of smartphone profits. At a Tuesday event, Google unveiled a two-pronged strategy to change that. Part one was the Pixel, the first smartphone that will be designed and manufactured by Google. Google is betting that building its own phone will allow it to offer the same kind of seamless user experience Apple provides its own users. But the second prong of Google's strategy is more original and received more attention on Tuesday.

We're taking a break today from the election and corporate scandals to do something that most leaders–in fact, most people–generally, don't do often enough: Thinking great big thoughts about how technology will change our lives. Many CEOs tell me their greatest fear is being blindsided by a competitor they never even thought of as a competitor, threatening to make the CEO's business irrelevant by using technology and a business model the CEO hadn't imagined. It's a main challenge now -- simply imagining what might be possible as technology advances ever faster. That's why I urge you to read Roger Parloff's new cover story on deep learning, how it's changing our lives, and how, as he says, it "will soon transform corporate America," and business globally for that matter. This is the technology powering the hugely improved speech recognition in so many products, including the Google Home device introduced yesterday as the company's answer to Amazon's Echo.

Whether they practice medicine in a hospital or a community clinic, healthcare workers are facing an exponential increase in the amount of patient information needed to effectively treat their patients. This will require the application of sophisticated'big data' techniques such as machine learning to process, analyse and surface information that will assist in creating more personalised healthcare plans. That's according to Orion Health CEO Ian McCrae, whose company has today released a report on the application of machine learning in healthcare. The report's publication coincides with the official launch at the University of Auckland of Precision Driven Health - one of the largest data science research initiatives to be undertaken in this country, which aims to position New Zealand at the forefront of precision health globally. "The electronic health record is fast becoming the most powerful tool in the medical toolkit. Today it contains a patient's medical record, soon it will include genetic, environmental and social data and will be critical in the application of precision medicine or personalised healthcare," Mr McCrae says.

Watson, IBM's artificial intelligence computer system, is ridiculously prolific. In the last few years it's written a cookbook, crafted a movie trailer, joined the debate team, and helped in medical education, among many other projects. The latest point on the system's resumé is to help make hospital stays more comfortable for patients and relieve the strain on doctors and nurses through smart speakers that can answer basic questions and grant patients' control over things like room temperature, the lights or the TV.

Japanese automaker Toyota Motor Corp wants consumers to connect with mini talking robots. The talking robot called Kirobi Mini, whose name comes from "hope," is just as smart as a 5-year-old. The 4-inch-tall Kirobo Mini is small enough to be carried around. When people place the Kirobo Mini in their cars, it encourages safe driving by saying phrases like "Oops!" when the driver steps on the brakes suddenly, and "Don't leave me behind", when left in the vehicle. The Kirobi Mini comes equipped with Bluetooth, camera and microphone, and can connect to a smartphone, but needs to be installed with a software application.

Samsung Electronics Co. SSNHZ 0.00 % said Thursday that it will buy U.S. artificial intelligence company Viv Labs Inc., as the South Korean smartphone giant turns to the creators of Apple Inc. AAPL 0.04 % 's Siri service to beef up its own mobile software and services. The deal, for an undisclosed amount, is Samsung's fourth U.S. technology company acquisition in a little more than two years, underscoring the technology player's new willingness to look outside the company to spur innovation, particularly in areas like software, where it has traditionally been weak. The aim for Samsung is to pack its phones with more eye-popping features to help its premium devices stand out from a pack of competitors, including Apple's iPhones. After its acquisition last year of mobile payments startup LoopPayfor about 160 million, Samsung adopted the Burlington, Mass.-based company's technology to launch Samsung Pay, a mobile payment service that rivals Apple Pay. Samsung is looking to follow a similar model with San Jose, Calif.-based Viv Labs, which was founded four years ago by a team that includes Siri co-creators Dag Kittlaus and Adam Cheyer.

Data mining (sometimes called knowledge discovery) is the process of analyzing and summarizing data into useful information which can be used to understand common features, the origin of data and to extract hidden predictive information. Data mining is used in science, engineering,modeling and analysis of financial markets. In this article we will discuss a free data-analysis framework called DMelt (The DataMelt project, http://jwork.org/dmelt/) It is a great program for scientists, engineers and students who need numerical and statistical computations, data and function visualization and even symbolic computation. DMelt is a 100% Java package, which means it is fully object-oriented and runs on any Java Virtual Machine regardless of computer architecture.

COLORADO SPRINGS, CO--(Marketwired - October 05, 2016) - Cherwell Software, a global leader in IT service management (ITSM) solutions, announced today to customers at its annual conference that the Cherwell Service Management platform is utilizing Microsoft Azure Machine Learning to integrate predictive analytics into its ITSM solution. Azure Machine Learning, part of the Microsoft Cortana Intelligence Suite, provides a cloud-based service that enables companies to apply statistical techniques to large amounts of data and leverage analytics to solve problems and create smarter applications. Cherwell customers can now harness the power of Azure Machine Learning to analyze incident and ticket data stored within Cherwell Service Management, and utilize pattern recognition to create algorithms that assist with incident prioritization, triage, and resolution. "Azure Machine Learning and the Cortana Intelligence Suite offer an easy way to add powerful intelligence to existing applications. By integrating Azure Machine Learning with Cherwell Service Management, Cherwell has introduced the next generation of service management," commented Dawson Stoops, VP of Technical Alliances at Cherwell.