11 min

Microsoft Azure* Machine Learning and Project Brainwave – Intel® Chip Chat episode 610 Intel Chip Chat

    • Technology

In this interview from Microsoft Ignite, Dr. Ted Way, Senior Program Manager for Microsoft, stops by to talk about Microsoft Azure* Machine Learning, an end-to-end, enterprise grade data science platform. Microsoft takes a holistic approach to machine learning and artificial intelligence, by developing and deploying complex algorithms as well as accelerating them on hardware. Azure Machine Learning is powered by Project Brainwave, using Intel® FPGAs to deliver real-time AI in the form of image recognition and classification, language understanding, speech to text, and text to speech. Intel FPGAs shine when processing unstructured data and serving a response with very low latency. At Ignite, Microsoft announced four new algorithms – ResNet-152, DenseNet-121, VGG-16, and SSD-VGG – which will allow uses even more flexibility when using the Azure Machine Learning platform. To get started with Azure Machine Learning and Intel FPGAs, visit http://aka.ms/rtai.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

In this interview from Microsoft Ignite, Dr. Ted Way, Senior Program Manager for Microsoft, stops by to talk about Microsoft Azure* Machine Learning, an end-to-end, enterprise grade data science platform. Microsoft takes a holistic approach to machine learning and artificial intelligence, by developing and deploying complex algorithms as well as accelerating them on hardware. Azure Machine Learning is powered by Project Brainwave, using Intel® FPGAs to deliver real-time AI in the form of image recognition and classification, language understanding, speech to text, and text to speech. Intel FPGAs shine when processing unstructured data and serving a response with very low latency. At Ignite, Microsoft announced four new algorithms – ResNet-152, DenseNet-121, VGG-16, and SSD-VGG – which will allow uses even more flexibility when using the Azure Machine Learning platform. To get started with Azure Machine Learning and Intel FPGAs, visit http://aka.ms/rtai.

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at intel.com.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

*Other names and brands may be claimed as the property of others.

© Intel Corporation

11 min

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