オープンデータ関連のニュースです。
日本語
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English
Intel and Japan-based Preferred Networks have announced a collaboration that will focus on the development of Chainer, an open source Python-based deep learning framework developed by the Preferred Networks. The partnership, announced at Intel’s Tokyo AI Day, aims to boost the performance of deep learning applications on Intel’s products and forms part of Intel’s strategy for gaining ground in the artificial intelligence (AI) space. The collaboration will also focus on easing AI development and affordability, with results of the collaboration published on Intel’s GitHub repository. Chainer was made open-source in June 2015 and the framework has since been adopted for the development of deep learning in both research and real-world applications.
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