Watson AlchemyAPI s deep learning and acquisition of skills

IBM acquired the startups AlchemyAPI, aims to use its tools to enhance Watson artificial intelligence. AlchemyAPI to take advantage of deep learning artificial intelligence, collection business, websites, pictures, text and other information issued by the advertiser, text, data analysis and respond accordingly.

Deep learning is a new field of machine learning research, analyse their motivation is to build, simulate the human brain neural network learning, it mimics the mechanism of the human brain to interpret data, such as images, sounds and text.

Facebook,Google and Twitter ever have acquired stepped into the depth of learning in the company. For IBM, and in depth means its software vendors have an advantage in the competition. Meanwhile, acquisition of AlchemyAPI mean more mergers, merger boom brings depth and field of study.

As IBM CEO Elliot Turner says: FENDI case

"AlchemyAPI can run deep, and acquisitions for IBM to AlchemyAPI, is key to IBM difference other cloud service providers. " FENDI iPhone 6 Case

AlchemyAPI in natural language processing functions including entity extraction, sentiment analysis and linguistic extraction in the area of computer vision, including face recognition and image tags.

Watson has artificial intelligence applied to the application developer, it can deliver more functionality, such as understanding of language, speech, talk, video processing, synthetic languages, which allow users to these features combine with objects such as Lego, the creation of a new more interesting applications.

After the IBM acquisition of AlchemyAPI, its services may be combined with existing cognitive services. Turner did not oppose AlchemyAPI IBM and other technology with the use of artificial intelligence. AlchemyAPI is used together with a number of different tools, after all, although these tools have not been released. In Turner's view, in IBM's leadership, they can cope with it well.

In fact, AlchemyAPI from last year was initially based on deep learning in computer vision, but the fact is that this issue there are wise, because people's passion for deep learning and interest is very high.

ViaVB

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