SU Global Summit 2019 | AI and Machine Learning Implications | Neil Jacobstein
Автор: Singularity University
Загружено: 2019-11-12
Просмотров: 8852
The accelerated pace of success in machine learning applications reflects significant improvements in specialized hardware, algorithms, and access to data. Corporations now know that they need to deploy machine learning rapidly, but they are unsure about best practices. Public sentiment has shifted from skepticism to fears of runaway AI, as well as employment, privacy, and ethical issues. The future success of machine learning depends on our ability to capture competitive advantages and manage downside risks effectively.
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