IBM said on Thursday it will spend $240 million over the next decade to fund a new artificial intelligence research lab at the Massachusetts Institute of Technology. The resulting MIT–IBM Watson AI Lab will focus on a handful of key AI areas including the development of new "deep learning" algorithms. Deep learning is a subset of AI that aims to bring human-like learning capabilities to computers so they can operate more autonomously. The Cambridge, Mass.-based lab will be led by Dario Gil, vice president of AI for IBM Research and Anantha Chandrakasan, dean of MIT's engineering school. It will draw upon about 100 researchers from IBM (ibm) itself and the university.
As the application of artificial intelligence (AI) in the field of drug development increases, market growth is greatly favored. Artificial intelligence (AI) is called engineering and science adopted to design intelligent machines, such as intelligent computer programs. A system that applies multiple human intelligence-based functions, such as learning, reasoning, and problem-solving skills in areas such as computer science, biology, linguistics, mathematics, and engineering. Artificial intelligence is regarded as the next boundary of medical innovation. Healthcare's AI is implemented to align structured and unstructured data.
Trapezoids, triangles and many other geometric shapes -- that's what one would see if they flew a drone over the high desert in Peru, South America. These giant geometric figures resemble birds, insects and other living beings. These are the famous Nazca lines which were discovered in the 1920s. In total, there are over 800 straight lines and 300 geometric figures. Archaeologists have been studying these lies ever since their discovery and still continue to do so till date.
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IBM will launch a Korean version of its AI platform Watson next year in cooperation with local IT service vendor SK C&C, the companies have announced. SK announced Monday that it signed a cooperation agreement with Big Blue on May 4 and will together build an integrated system to market Watson in South Korea. They will develop Korean data analysis solutions based on machine learning and natural language semantic analysis technology for Watson within this year, and will commercialise it sometime in the first half of 2017, SK said. IBM and SK will also build a "Watson Cloud Platform" at the Korean company's datacentre in Pangyo -- the local version of Silicon Valley -- that IT developers and managers can access to make their own applications. For example, an open market business can apply the Watson solution to its product search features to make a personalized contents recommendation solution.