In this Intel Chip Chat audio podcast with Allyson Klein: 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:
aka.ms/rtai

Tags: AI, Allyson Klein, Audio Podcast, Azure, Chip Chat, DenseNet-121, Dr. Ted Way, Intel, Intel FPGA, machine learning, Microsoft Azure Machine Learning, Microsoft Ignite, Project Brainwave, ResNet-152, SSD-VGG, VGG-16
 
Posted in: Artificial Intelligence, Audio Podcast, Intel, Intel Chip Chat, Microsoft