Deep learning faces challenges in complex language and scene understanding, reasoning about structured data, transferring learning beyond the training conditions, and learning from small amounts of ...

Deep learning, knowledge graphs, and the future of AI. Featuring scientist, best-selling author, and entrepreneur Gary Marcus Preview E Jan 4 · Orchestrate all the Things ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen ...

The paper, "Relational inductive biases, deep learning, and graph networks," posted on the arXiv pre-print service, is authored by Peter W. Battaglia of Google's DeepMind unit, along with ...

Deep learning has also benefited from the company’s method of splitting computing tasks among many machines so they can be done much more quickly. That’s a technology Dean helped develop ...

Behind these smart drones are well-trained deep-learning models based on Baidu’s PaddlePaddle, the first open-source deep-learning platform in China. Like mainstream AI frameworks such as Google ...