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Jan 13, 2014 at 10:22
"Security at the expense of usability, comes at the expense of security."

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Oct 1, 2019 at 19:05
A new 16-bit floating point format for machine learning! https://hub.packtpub.com/why-intel-is-betting-on-bfloat16-to-be-a-game-changer-for-deep-learning-training-hint-range-trumps-precision/ It increases range at the expense of precision, and often allows 16-bit computation (smaller, faster hardware) to replace 32-bit ML logic.
Why Intel is betting on BFLOAT16 to be a game changer for deep learning training? Hint: Range trumps Precision.
Why Intel is betting on BFLOAT16 to be a game changer for deep learning training? Hint: Range trumps Precision.
The paper presents a comprehensive study indicating the success of Brain Floating Point (BFLOAT16) half-precision format in Deep Learning training across image classification, speech recognition, industrial recommendation systems and more.