CHICAGO, Jan. 17, 2018 (GLOBE NEWSWIRE) -- Narrative Science, the leader in Advanced Natural Language Generation (Advanced NLG) for the enterprise, today announced the availability of its third annual research report, "Outlook on Artificial Intelligence in the Enterprise 2018." In partnership with the National Business Research Institute (NBRI), Narrative Science surveyed business executives from a wide array of functions, including business intelligence, finance, and product management, to understand the use, value, and impact of AI throughout their businesses. Narrative Science's analysis of the data revealed key findings, including the compelling discovery that almost two-thirds of enterprises utilized AI in 2017.
Canadian academia, industry and government are heavily investing in Artificial Intelligence, setting the stage for it to become a research and development powerhouse. Silicon Valley needs little introduction: it is a global leader in technology start-ups and venture capital with significant AI strengths.
Connecting the dots for a Deep Learning App … Our day to day activities is filled with Emotions and Sentiments. Ever wondered how we can identify these sentiments through computers? Oops, computers who have no brains:)? Try this Deep Learning App yourself (refresh a couple of times initially if there's Application Error): Dot 0: Deep Learning in Sentiment Analysis Sentiment analysis is a powerful application which extends its arms to the following fields in the modern day world. According to Wikipedia: Sentiment analysis (sometimes known as opinion mining or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. On this note, let's develop a Movie Review Sentiment Application using the methods of Deep Learning.
In the aftermath of the Las Vegas shooting, the deadliest mass shooting in US history, questions rose and speculation around the shooter and his motives mounted. Very quickly, trending news outlets reported that the man behind the mass shooting in Las Vegas was an anti-Trump liberal, that the F.B.I. had linked to the Islamic State, and had recently converted to Islam. The New York Times revealed, "They were shocking, gruesome revelations. They were also entirely false -- and widely spread by Google and Facebook." This was one more instance where'fake news' had penetrated mainstream venues, underscoring how fake news can flourish via social media platforms.
An international team of scientists are using data on genetic material, cell surface texture and typical facial features derived by artificial intelligence methods to simulate disease models for deficiencies in the molecule glycosylphosphatidylinositol (GPI) anchor, which is known to cause various diseases.