6 areas of AI and Machine Learning to watch closely

#ICYMI 6 areas of #AI and #MachineLearning to watch closely

  • Those who are able to train faster and deploy AI models that are computationally and energy efficient are at a significant advantage.
  • Some have rebranded AI as “cognitive computing” or “machine intelligence”, while others incorrectly interchange AI with “machine learning”.
  • If we want AI systems to solve tasks where training data is particularly challenging, costly, sensitive, or time-consuming to procure, it’s important to develop models that can learn optimal solutions from less examples (i.e. one or zero-shot learning).
  • Deep learning models are notable for requiring enormous amounts of training data to reach state-of-the-art performance.
  • Without large scale training data, deep learning models won’t converge on their optimal settings and won’t perform well on complex tasks such as speech recognition or machine translation.


Artificial Intelligence is a generic term and many fields of science overlaps when comes to make an AI application. Here is an explanation of AI and its 6 major areas to be focused, going forward.

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RE•WORK

#DeepLearning 101 with Oriol Vinyals, Research Scientist at @DeepMindAI  @reworksophie

  • The Deep Learning Summit is the next revolution in artificial intelligence.
  • At the 2016 Deep Learning Summit in London , Oriol presented ‘Generative Models 101’, exploring how they can be used to help in guiding our intuitions towards better architectures, for text, images and beyond.
  • The next Deep Learning Summit takes place in San Francisco on 26-27 January !
  • Not a week goes by without news of interesting projects and developments in deep learning by Google’s DeepMind.
  • The increasingly popular branch of machine learning explores advances in methods such as image analysis, speech and pattern recognition, natural language processing, and neural network research.

Not a week goes by without news of interesting projects and developments in deep learning by Google’s DeepMind. View an interview with Oriol Vinyals, Senior Research Scientist at DeepMind, who is one of this year’s 35 Innovators Under 35, for his pioneering work in creating new techniques for language translation, and pushing the edge of science.
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