AI at F8 2018: Open frameworks and responsible development

This post details the evolution of Meta's AI development by announcing PyTorch 1.0 for seamless research-to-production transition and the expansion of ONNX to support more frameworks for model interoperability. It also highlights the release of specific AI models and libraries such as ResNext3D for video understanding, Translate for machine translation, and MUSE for multilingual embeddings. Research advancements include a new image recognition model trained on 3.5 billion images, DensePose for 3D body mapping, EmbodiedQA for autonomous agents, and open-source Go and StarCraft bots (ELF OpenGo and StarCraft bot tools) for reinforcement learning research. The post also emphasizes responsible AI development through efforts to eliminate algorithmic bias and ensure ethical deployment.