India is considering the military usage of Artificial Intelligence (AI) for national security and military strategic purposes and the government is studying a report recommending the dual use of technology in aviation, naval, land systems, cyber, nuclear and biological warfare.
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A group of Space Center scientists developed a method using Machine Learning to predict plant growth. It will improve the efficiency of farming.
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Today’s travelers are creating more and more digital data, helping savvy tourism operators refine their product and grow their revenue.
Many industry players are now using data analytics services to manage and process their marketing information – tracking patterns, predicting behaviors and organizing data into clear and detailed reports.
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The growth and popularity of R programming have been helping data-driven organizations succeed for years. Nearly every industry now sees data and analytics as a strategic competitive advantage, and R is the language of choice for the data analyst. Because of its popularity, not only is R helping drive success for companies using it, it’s driving its success as the industry standard for using data effectively. Here are a few examples of how companies use R to drive their bottom line.
The telecom sector is loosing billions of money every year due to fraud detection. Machine Learning is the best weapon for telecom industry against fraud detection. Machine Learning has the capability to self- learn, the algorithm gives accurate result which helps in detecting fraud activities.
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The product manager of google said that google app engine is supporting python (3.7) programming language and they are ready to use it in the next 25 days.
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