Representatives of IBM have announced the opening of a new competition in which they plan to integrate the cognitive abilities and artificial intelligence technologies of the Watson supercomputer into the platforms of various mobile devices, including smartphones and tablets. The competition is to develop applications that use natural language processing of data described in natural language, using machine learning technologies and technologies that can process vast amounts of heterogeneous information in seconds of time. Applications for the IBM Watson Mobile Developer Challenge will be accepted over the next three months, and the winners will have the opportunity to work with IBM Interactive Experience and all kinds of support to further develop and commercialize their projects.
As a reminder, IBM opened access to the Watson API in November 2013. Using this interface, the application can turn almost any device into a “digital brain,” allowing it to perceive information from any unstructured source, from HTML, PDF, Word and TXT files. Based on the information extracted, the artificial intelligence system is able to make some assumptions and conclusions and verify them using information gathered from other sources.
Moreover, the system of artificial intelligence is able to make conclusions and make assumptions about some events that should happen in the near future based on the available information, but so far the system can not extract the information it needs from images and video, as well as the system has great difficulty in generating its own new ideas.
It is these aforementioned gaps in the functionality of the artificial intelligence system Watson that IBM plans to close with the help of the Watson Mobile Developer Challenge. Currently, the company has over 1,500 proposals for the practical use of the cognitive abilities of artificial intelligence, and most of these proposals are directed toward data analysis technologies whose functioning is based on the principles of data analysis by the human brain. It remains a small matter of providing the system with advanced capabilities to extract information from various sources, making it even more versatile.
