LIMU-BERT, a novel representation learning model that can make use of unlabeled IMU data and extract generalized rather than task-specific features. LIMU-BERT adopts the principle of the natural ...

Abstract: Programming language pre-training models have made significant progress in code representation learning in recent years. Although various methods, such as data flow and Abstract Syntax Tree ...

With the advancement of source-load interaction in the new power systems, data-driven approaches have provided a foundational support for aggregating and interacting between sources and loads. However ...

If you are an SEO practitioner or digital marketer reading this article, you may have experimented with AI and chatbots in your everyday work. But the question is, how can you make the most out of AI ...

Google is rolling out what it says is the biggest step forward for search in the past 5 years, and one of the biggest steps forward in the history of Search altogether. Google is using a new ...

Feel free to fine tune large BERT models with large batch size easily. Multi-GPU and FP16 are supported. Assume: num_train_examples = 32000 Situation 1 (multi-gpu): train_batch_size = 8, num_gpu_cores ...