AAAI 2020 Best Papers; Turing Award Winners See a Turning Point for Deep Learning; MIT Reveals…

A Generative Adversarial Network for AI-Aided Chair Design Researchers present a deep neural network for improving human design of chairs which consists of an image synthesis module and a super-resolution module. They select one of the candidates as a design prototype and create a real-life chair based on it. According to the researcher team, this is the first physical chair created with the help of deep neural networks, which bridges the gap between AI and design. This is the largest NLP model ever trained, with 17 billion parameters. T-NLG has achieved SOTA performance on mainstream NLP tasks.