How Machine Learning Is Changing The Future Of Fiber Optics

Chris Cole, vice president of systems engineering at Luminous Computing, says fiber optic technology will be undergoing some rapid growth in the coming years. But what's that got to do with machine learning?
(Image source:  Joshua Kimsey from Pixabay)

The high bandwidth demands created by our mobile and smart devices, data storage, and cloud computing centers is growing by leaps and bounds. And the ubiquity of fiber optics is a big part of this. Analysts are predicting the global fiber optics market will be worth $9 billion USD by 2025. Much of this will be driven by the aforementioned technologies but also by new technologies such as VR/AR.

But none will have more impact than machine learning. The compute power needed and the demand for machine learning performance is driving more and more developers to move AI applications to the edge and away from the cloud. One of those companies is Luminous Computing, a machine learning startup that has set itself on the lofty goal of leveraging photonics to fit the computing power of the world's largest supercomputers onto a single chip for AI processing.

Ahead of his DesignCon 2020 keynote, “The Future of Fiber Optic Communications: Datacenter & Mobile,” Chris Cole, vice president of systems engineering at Luminous Computing, spoke with DesignCon brand director Suzanne Deffree about the rapid changes coming to data centers and mobile.

Check out the video interview below, where Cole discusses how fiber optics and machine learning are transforming each other, how new technologies like Silicon Photonics (SiPh) and co-packaging play into the communications landscape, why you can't be religious about technology, and more.


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