Topic: context

Transform-XL from Google makes long-term context in neural networks more practical

Google has proposed a new approach to natural language understanding architectures beyond a fixed-length context. Transformer-XL aims to make long-range dependence more practical in neural networks by using attention models. According to the company, long-range dependence is the contextual ability humans have to parse information that depends on something they’d read much earlier in a … continue reading

Industry Watch: Context is the key to customer interaction

In this world of capturing huge amounts of data from individuals – from the headphones we wear understanding our listening habits and moods, to geolocation, to how we drive – many fear the loss of personal privacy. Michel Feaster, CEO of a startup called Usermind, sees it differently. All of this data collection and analysis … continue reading

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