Last Week in AI

Every week, Invector Labs publishes a newsletter that covers the most recent developments in AI research and technology. You can find this week’s issue below. You can sign up for it below. Please do so, our guys worked really hard on this:

From the Editor: The Emergence Self-Learning Models

Machine learning literature typically divide the world in supervised and unsupervised models but reality is much more complex. While supervised models rule the current artificial intelligence(AI) solution space, they often result unpractical given their dependency on training data. As a result, machine learning practitioners have been exploring new disciplines such as semi-supervised or omni-supervised learning that can effectively operate in scenarios that lack large labeled datasets. One of those disciplines that have been receiving some attention is called self-learning.

The idea of self-learning dates back to the 1980s but has recently experienced a renaissance in technologies such as the Amazon Alexa assistant. Conceptually, self-learning systems perfect their knowledge by creating feedback loops with the environment. When Alexa tries to improve an answer after you appear frustrated, that’s self-learning in action. Among the tech giants, Amazon has been pushing the boundaries of self-learning models incorporating all sorts of new techniques…