Pushing the Boundaries of Machine Learning

Video in TIB AV-Portal: Pushing the Boundaries of Machine Learning

Formal Metadata

Title
Pushing the Boundaries of Machine Learning
Title of Series
Author
License
CC Attribution - NonCommercial - NoDerivatives 2.5 Switzerland:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
Release Date
2017
Language
English

Content Metadata

Subject Area
Abstract
The goal of machine learning is to enable computers to learn and excel at performing specific tasks. Examples of these tasks range from driving a car and recognizing a face in a picture, to improving a web search. It has also been argued that, through machine learning, we can get closer to achieving the overarching goal of human-level Artificial Intelligence (AI). In the future, machine learning will play a signigficant role in many industries and institutions. This symposium will feature keynote presentations and discussions across a variety of topics at the frontier of machine learning and AI.
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Timings

  257 ms - page object

Version

AV-Portal 3.20.2 (36f6df173ce4850b467c9cb7af359cf1cdaed247)
hidden