The experiment, developed by physicists from The Australian National University (ANU) and UNSW ADFA, created an extremely cold gas trapped in a laser beam, known as a Bose-Einstein condensate, replicating the experiment that won the 2001 Nobel Prize. "I didn't expect the machine could learn to do the experiment itself, from scratch, in under an hour," said co-lead researcher Paul Wigley from the ANU Research School of Physics and Engineering. "A simple computer program would have taken longer than the age of the Universe to run through all the combinations and work this out." Bose-Einstein condensates are some of the coldest places in the Universe, far colder than outer space, typically less than a billionth of a degree above absolute zero. They could be used for mineral exploration or navigation systems as they are extremely sensitive to external disturbances, which allows them to make very precise measurements such as tiny changes in the Earth's magnetic field or gravity.

The innovations protected by the new patent provide users of the Arria NLG Platform with an added level of control to query their data to achieve a deeper understanding. Users can direct the report output by changing the data parameters to refine its focus and apply the embedded subject matter expertise to quickly interrogate their data at the click of a mouse. For example, financial analyst who receive an NLG report analysing an entire year of sales data can use an interface to focus the report on the most recent quarter or on one or a combination of geographic regions, or by using any other search criteria that they specify. With one click, the NLG Platform searches the data afresh, conducts pre-programmed analysis and produces an amended report responding to the new query. This, Arria's eighth patent, covers flexible modification of search parameters not only for reports that may be generated with Arria NLG's advanced artificial intelligence technology, but also with more rudimentary, template based NLG systems offered by several of Arria NLG's competitors.

Truphone co-founder James Tagg recently addressed the critical role artificial intelligence (AI) will play in helping smartphones and other technology platforms evolve. Tagg, who authored'Are The Androids Dreaming Yet,' kicked off his presentation in Mountain View, California, by exploring some of the basic differences between humans and machines. "Human brains are fundamentally'broken' in certain ways, especially when it comes to accurately remembering a specific event a few weeks after it occurred. Yet, we can recall more than 1,000 faces – in less than 370ms (each)," he explained. "We also understand hierarchy quite well, although we have difficulty with recalling names. Plus, humans adhere to strong rules of etiquette around face-to-face communication."

Sure announced today that it has introduced the world's first on-demand insurance app powered by artificial intelligence, marking an important step for the company as it drives rapid adoption of mobile, on-demand insurance products. An industry first, Sure uses data-driven approaches to empower consumers with the ability to personalize insurance needs on the go. In doing so, it eliminates the built-in limitations of an industry driven largely by one-size-fits-all recommendations from brokers. Sure continues to pioneer Episodic Insurance in the insurance market by providing consumers with simple options based on the context and information gathered through his or her mobile device with permission. Sure uses data-intelligence and advanced analytics to identify needs and provide products for easy, on-demand purchase. For the first time, customers can buy the type of insurance they need, for exactly the duration they need it.

Qualcomm (NASDAQ: QCOM) announced a few days ago that its subsidiary Qualcomm Technologies will offer OEMs its first machine learning SDK for running their own neural network models on devices powered by Snapdragon 820 SoCs. The devices include smartphones, cars and drones among many others. With the introduction of the new Snapdragon Neural Processing Engine SDK, we are making it possible for myriad sectors, including mobile, IoT and automotive to harnesses the power of Qualcomm Snapdragon 820 and make high-performance, power efficient on-device deep learning a reality. Qualcomm said in its Q2 earnings call that the company is broadening its presence in "adjacent opportunities," i.e., in adjacent markets where it has growth opportunities. The company has such opportunities in the sectors Brotman mentioned, as presented above in bold.

SAN FRANCISCO -- When Google kicks off its annual get-together for software developers on Wednesday, expect to hear about the two major trends shaping the future of the technology industry: artificial intelligence and virtual reality. Thousands will descend on Mountain View, Calif., the first time the tech giant is holding the I/O conference in its hometown. Google's conference, sandwiched between Facebook in April and Apple in June, is vying to put on the greatest show on earth for software developers. For weeks, workers have been constructing a Google-themed park to immerse developers in the artificial intelligence-powered future that Google envisions.The outdoor venue, the Shoreline Ampitheatre, is most famous for showcasing the talents of Neil Young, The Who and Metallica. For I/O, the master of ceremonies is Sundar Pichai, Google's newly minted chief executive who will look to dazzle developers with a demo-packed keynote.

Amazon has become the latest tech giant that's giving away some of its most sophisticated technology. Today the company unveiled DSSTNE (pronounced "destiny"), an open source artificial intelligence framework that the company developed to power its product recommendation system. Now any company, researcher, or curious tinkerer can use it for their own AI applications. It's the latest in series of projects recently open sourced by large tech companies all focused on a branch of AI called deep learning. Google, Facebook, and Microsoft have mainly used these systems for tasks like image and speech recognition.

Topological Learning with Ayasdi: Ayasdi has a unique approach to machine learning and data analysis using topology. This framework represents a revolutionary way to look at and understand data that is orthogonal but complementary to traditional machine learning and statistical tools. In this presentation I will show you what is meant by this statement: How does topology help with data analysis? Why would you use topology? I will illustrate with both synthetic examples and problems we've solved for our clients.

Accenture has chosen an artificial intelligence-powered virtual agent called Amelia, to push cognitive machine learning towards businesses like banks and insurance companies. Amelia, developed by IT automation provider IPsoft, is a self-learning cognitive agent you can actually talk with in natural language. In other words, she can hold a back and forth conversation and, as well as answering questions, she can manage processes for you. For instance, in banking, she could open up an account for you. Edwin van Bommel, chief cognitive officer at IPsoft told IBTimes UK: "Amelia will answer your questions in natural language. It will all be very conversational, as opposed to AI-based services like Siri where each utterance is recognised as a new separate question."

After reading thousands of romance novels, Google Brain's AI has a new talent in writing eerie post-modern poems. Artificial Intelligence has proven to be fully capable of doing what human beings can do. Now Google has discovered that their AI has a new talent in writing haunting post-modern poetry. Google had previously encountered a problem with the artificial intelligence having a rather concise diction. Although the AI had precise grammar, the Google Brain Team wanted it to be more conversational in its interactions.