First, we’ve emphasized high automation-using machine learning to automate machine learning wherever possible, so that even non-experts can immediately make use of leading-edge capabilities. We introduced the first versions of our flagship highly automated machine-learning functions Classify and Predict back in 2014, and we introduced our first explicitly neural-net-based function- ImageIdentify-in early 2015.Īnd in the years since then we’ve built a very strong system for machine learning in general, and for neural nets in particular. Of course, we were involved with it even a very long time ago.

Machine learning is all the rage these days. Machine Learning & Neural Networks GANs, BERT, GPT-2, ONNX, … : The Latest in Machine Learning (March 2020) The contents of this post are compiled from Stephen Wolfram’s Release Announcements for 12.1, 12.2, 12.3 and 13.0. Here are the updates in data and data science since then, including the latest features in 13.0. Two years ago we released Version 12.0 of the Wolfram Language.

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