Machine Learning Enables Deep Learning
Data scientists, developers and researchers are using machine learning to gain insights previously out of their reach. Programs that learn from experience are helping them discover how the human genome works. Programs that understand the context behind consumer behaviors can build recommendations in real-time. Programs can be taught to recognize and identify images, and even people’s faces, to improve security.
You may already know that machine learning is becoming faster and more accessible. Organizations of all sizes from all industries are using massive data sets to build smarter cities, power intelligent cars and deliver personalized medicine. And, we are just in the beginning phases of this new frontier. Whether exploring oil reserves, improving the safety of automobiles or mapping genomes, machine-learning algorithms are at the heart of innovation and business intelligence.
Just look at some of the ways organizations are leveraging machine learning and artificial intelligence today. Professional sports franchises are building smart stadiums to enhance the fan experience at the game. Real-time data produced by hundreds of sensors on commercial trucks creates a picture of what is happening that a driver can’t foresee. Building operators are implementing smart systems with predictive capabilities so they can optimize efficiency like adjusting thermostats upward when anticipating power usage peaks elsewhere in the building. The applications are truly exciting and virtually limitless.
Unleashing the power of machine learning requires certain ingredients: access to large amounts of diverse data and the right skill sets; optimized data platforms; powerful data analysis tools; and a highly scalable and flexible compute and storage infrastructure.
Intel®’s high-performance computing (HPC) reference architectures are optimized for machine learning. Built on a hardware foundation that includes compute, memory, storage and network, these platforms include an optimized, scalable software stack for predictive analytics. By using a machine learning platform based on Intel’s architecture, businesses can gain scalability, effectiveness, efficiency and reduce time to market for intelligent solutions.
Intel is further expanding its capabilities with respect to artificial intelligence with the acquisition of Nervana, a recognized leader in deep learning. Nervana’s Engine and silicon expertise will advance Intel’s AI portfolio and enhance the deep learning performance and TCO of our Intel® Xeon® and Intel® Xeon® Phi processors.
AI is the next really big wave. Ride it with Intel. And, in case you missed it, catch up on AI and other news from IDF here.
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