Chinese tech giant Baidu recently showed off its artificial intelligence capabilities with the unveiling of a newly “finished” ink painting by Chinese painter Lu Xiaoman (1903 – 1965), which was completed by the plate -business deep learning based art generation form. As part of the presentation of the work, Baidu held a panel discussion with …
Baidu AI model completes an unfinished ink painting TechNode Read More »
Deep Neural Networks (DNNs) have seen great success in several fields, including advertising systems, computer vision, and natural language processing. Large models with lots of layers, neurons and parameters are often trained using lots of data, which greatly improves the final accuracy. For example, the click-through rate (CTR) prediction model, BERT, and ERNIE use many …
Analytica’s recent research report includes an in-depth analysis of the major players in the global Internet advertising market, including their corporate identities and business strategies. This allows the buyer of the report to get a complete picture of the competitive landscape and develop market strategies accordingly. The global Internet advertising market is expected to grow …
Astute Analytica has released a new research report on the global Internet advertising market. The research, which includes statistics on international and regional markets, is expected to flourish between 2022 and 2030. Additionally, it offers market definition along with its categories, uses, and trends. The global internet advertising market is expected to grow at a …
Vision-language pre-training (VLP) models have made significant progress on several cross-modal tasks, such as visual question answering (VQA) and cross-modal retrieval, over the past two years. The majority of previous efforts based on intermodal transformer encoders focus on constructing several proxy pre-training tasks (e.g., masked language modeling (MLM) and masked region modeling (MRM)) to learn …
Vision-language pre-training (VLP) models have made significant progress on several cross-modal tasks, such as visual question answering (VQA) and cross-modal retrieval, over the past two years. The majority of previous efforts based on intermodal transformer encoders focus on creating several proxy pre-training tasks (e.g., masked language modeling (MLM) and masked region modeling (MRM)) to learn …
