Magnus Ekman, Ph.D., is a director of architecture at NVIDIA Corporation. His doctorate is in computer engineering. He was first exposed to artificial neural networks in the late nineties in his native country, Sweden. After some dabbling in evolutionary computation, he ended up focusing on computer architecture and relocated to Silicon Valley.
He previously worked with processor design and R&D at Sun Microsystems and Samsung Research America. In his current role at NVIDIA, he leads an engineering team working on CPU performance and power efficiency for chips targeting markets ranging from autonomous vehicles to data centers for artificial intelligence (AI).
When writing Learning Deep Learning (LDL), he partnered with the NVIDIA Deep Learning Institute (DLI), which offers training in AI, accelerated computing, and accelerated data science. DLI plans to add LDL to its portfolio of self-paced online courses, live instructor-led workshops, educator programs, and teaching kits.