AI year in review

This post details advancements in AI learning through semi-supervised and unsupervised training, including new methods for training automatic translation models on unsupervised data and expanding translation services to 24 more languages. It also highlights the use of hashtags for image recognition training and the release of PyTorch 1.0, integrating Caffe2 and ONNX for a streamlined AI development pipeline. Additionally, it introduces Horizon, an open-source platform for applied reinforcement learning in production, Glow for hardware acceleration, and the Big Basin v2 ML-optimized server design. The post also touches on the transition of Oculus Research to Facebook Reality Labs and explorations in AI and AR/VR research.