Today Nvidia announced that Rob High, IBM Fellow, VP and chief technology officer for Watson, will deliver a keynote at our GPU Technology Conference on April 6. High will describe the key role GPUs will play in creating systems that understand data in human-like ways.
Late last year, IBM announced that its Watson cognitive computing platform has added NVIDIA Tesla K80 GPU accelerators. As part of the platform, GPUs enhance Watson’s natural language processing capabilities and other key applications.
‘Watson is among the first of a new generation of cognitive systems with far-reaching applications. It uses artificial intelligence technologies like image classification, video analytics, speech recognition, and natural language processing to solve once intractable problems in healthcare, finance, education and law. GPUs are at the center of this artificial intelligence revolution. And they’re part of Watson, too. GPUs are designed to race through a large number of tasks at once, something called parallel computing. That makes them ideal for many of the esoteric mathematical tasks that underpin cognitive computing, such as sparse and dense matrix math, graph analytics, and Fourier transforms. NVIDIA GPUs have proven their ability to accelerate applications on everything from PCs to supercomputers using all these techniques. Bringing the parallel computing capabilities of GPUs to these compute intensive tasks allows more complex models to be used, and used quickly enough to power systems that can respond to human input.”