Hope everyone had a lovely bank holiday in the UK. Today has seen news of machines learning without being told what to look for, the implications of exponential technologies and how Big Data is making sport more intelligent. Too much for today? Kickback and enjoy some intelligent beer.
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According to this article written by Or Shani, CEO and founder of Adgorithms, a provider of AI-based marketing and advertising solution, you should not be too concerned about AI taking your job. He claims that machines will never be able to fully understand people (customers) on an emotional, intuitive level, but can rather be used to assist humans through their analytical insight.
Read through Google DeepMind’s latest research in progressing the capabilities and training procedures of neural networks called “Decoupled Neural Interfaces using Synthetic Gradients”, allowing neural networks to communicate between themselves, in a decoupled, scalable manner.
TensorLayer is a transparent library built on the top of Google TensorFlow, it was created to provide a higher level API to TensorFlow in order to speed-up experimentations and developments. You can also find tutorials and examples to guide you through deep learning and reinforcement learning using TensorLayer.
According to researchers at the University of Sheffield, it is now possible for machines to learn how natural or artificial systems work by simply observing them, without being told what to look for. This approach called “Turing Learning” can be used to “discover the rules behind natural or artificial systems, especially where behaviour cannot be easily characterised using similarity metrics.”.
It is happening, we have intelligent beer now. IntelligentX is the company behind it and their ML algorithm makes use of reinforcement learning and bayesian optimisations to improve the recipe, based on information it gets from experience and customer feedback.
Read through the summary of a presentation given by Kaila Colbin, TEDx licensee and Ambassador for Singularity University, where she adresses the impact of exponential technologies. “Technology has gotten so cheap that it is now more economically viable to buy robots than it is to pay people $5 a day.”
The Olympics are over and we have seen many use cases of AI, Big Data and ML. Coaches and players make use of GPS trackers, RFIDs and sensors to track all aspects of their sport. AI then uses all that data to recommend winning strategies.