Machine Learning Fragmentation Is Slowing Us Down: NNEF The Khronos Solution

Machine Learning Fragmentation Is Slowing Us Down: NNEF The Khronos Solution

Machine Learning Fragmentation Is Slowing Us Down: NNEF The Khronos Solution

    nnef, machinelearning, neural networks
The Khronos Group NNEF Working Group Chair Peter McGuinness discusses fragmentation in the Machine Learning field. Machine learning capabilities are being added to everything from social media platforms, IoT devices and cameras to robots and cars. The pace of innovation is leading to fragmentation, and one potential consequence of that fragmentation is a risk of stalling. A universal transfer standard for neural networks will cut down time wasted on transfer and translation and provide a comprehensive, extensible and well-supported solution that all parts of the ecosystem can depend on. The Neural Network Exchange Format is one of two standards currently being developed to satisfy this need. Learn more about NNEF and how it aims to solve this issue.