2016 in Review: IoT, Machine Learning, AI & Automation

Machine Learning Highlights From AlphaGo’s historic victory to record-breaking attendance at NIPS, machine learning continued to be on the forefront of big industry players’ strategy. In LWITF V13.0, we summarized Yann LeCun’s keynote on predictive learning and Tryolab’s summary of unsupervised learning advances in 2016. While deep learning gets all the attention, the fact of the matter is that not everyone is working on the same research topic. Here we list the advances made by each of the key industry players: Image Credit: CB Insights Google DeepMind While the main headline of 2016 was the success of AlphaGo, DeepMind’s work extends beyond reinforcement learning and training its agents in video games like StarCraft. Differential Neural Computers (DNC) combine deep learning with a memory element to push computers to reason, rather than…


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