Over the last decade, early business uses of Artificial Intelligence (AI), or machine learning, in life sciences have proven successful in drug discovery – predicting molecule-target bonding, identifying new biomarkers, and uncovering new drug indications. Now machine learning is gaining broader traction into other areas, including commercial operations, and transforming the way the industry collects, synthesizes, and uses data.

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Enterprises looking to incorporate artificial intelligence into their cybersecurity plans are wise to use it as just one component of a robust strategy. Here are the current challenges AI presents and how businesses can navigate them.

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Word-analyzing AI study reveals 'historical social changes'

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DURHAM - Want proof that machine learning and artificial intelligence are hot topics in the Triangle? Triangle Machine Learning Day at Duke University is a

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Machine learning is changing the way we do things, and it's becoming mainstream very quickly.

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Using AutoML Vision, data scientist Kenji Doi was able to create machine learning models to classify bowls of ramen and identify which shop it came from, out of 41 ramen shops.

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84.51°, a company owned by Kroger, has put in place tools and methodologies to substantially improve the productivity and effectiveness of machine learning.

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Google will use machine learning to predict the Final Four basketball games. The Google NCAA predictions will air during halftime ads in each game.

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CEOs who can understand and identify the potential of machine learning could significantly increase their revenues or decrease their costs.

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Some new research on Transportation Execution and Visibility Systems market is coming out. Specifically, how can machine learning be applied to visibility solutions to provide more accurate asset tracking information and provide realistic ETAs for customers. Learn from Savi executives.

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