Fpga Machine Learning

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Researchers extend similar depth learning techniques to more computers and new types of processors

"Editor's note" with the development of artificial intelligence technology, the major technology companies have increased their investment in deep learning, and as the National Science Foundation is the same, now, it through the funding of the United States University researchers, to promote the depth of learning algorithms on the FPGA and super computer running. Although it is only a trend that represents the depth of learning, but with the business operations of major technology companies and more in-depth study into the University Research Center and the National Laboratory, the development of in-depth learning to play a positive role in promoting. The following is the original: machine learning in the past few years ...

Alibaba Cloud Launches Machine Learning Platform PAI 2.0

During the 2017 YunQi Computing Conference held in Shenzhen, Alibaba Cloud’s Chief Science Officer Dr Jingren Zhou officially launched the updated version of its machine learning platform “PAI 2.0”.

Alibaba Cloud released three artificial intelligence products

Alibaba Cloud officially released three artificial intelligence products: image search, intelligent voice self-learning platform and machine translation. The three products are independently developed by Alibaba Cloud and Alibaba Machine Intelligence Technology Laboratory

"BDTC Interview" IBM Li Yonghui: From artificial intelligence to the end of large data

Ai technology plays an increasingly important role in the field of large data, and it technicians have an increasing interest in IBM Watson. Recently, Li Yonghui, an outstanding engineer at IBM's Ministry of Science and Technology, attended the 2014 China Large Data Technology conference and received an exclusive interview with CSDN Cloud computing, taking Watson as an example to analyze the practice and prospect of the application of AI technology in the industry. Li Yonghui that, through the combination of structured data and unstructured data to generate wisdom is the future direction of large data, the cognitive computing technology represented by Watson is to achieve this goal, its ability to ...

Facebook Data Center Practice analysis, OCP main work results

Editor's note: Data Center 2013: Hardware refactoring and Software definition report has a big impact. We have been paying close attention to the launch of the Data Center 2014 technical Report. In a communication with the author of the report, Zhang Guangbin, a senior expert in the data center, who is currently in business, he says it will take some time to launch. Fortunately, today's big number nets, Zhangguangbin just issued a good fifth chapter, mainly introduces Facebook's data center practice, the establishment of Open Computing Project (OCP) and its main work results. Special share. The following is the text: confidentiality is the data ...

2017 Yunqi Conference·Beijing Summit

Here to find the program of 2017 Yunqi Computing Conference - Beijing Summit.

Parallelx to run the Hadoop task on the GPU

The performance of the MapReduce paradigm is not always ideal in the face of large-scale computational-intensive algorithms.   To address its bottlenecks, a small start-up team built a product called PARALLELX, which will bring significant improvements to the Hadoop task by leveraging the computing power of the GPU. Parallelx's co-founder, Tony Diepenbrock, says this is a "GPU compiler that translates user code written in Java into OpenCL and is shipped on Amazon's AWS GPU Cloud ...

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