The application scenarios of China's artificial intelligence-powered deep-learning frameworks will be more diversified and buoyed by open-source platforms and large-scale industrial use, with the cost and application threshold to be further lowered, said Ma Yanjun, general manager of Baidu AI technology ecosystem. Meanwhile, deep-learning frameworks will be integrated and innovated with more frontier industries such as scientific computing, quantum computing and life sciences, Ma said. Deep-learning frameworks, which are used by software developers to build AI applications, have been included in the field of next-generation AI and represent key cutting-edge technology supported by the nation during the 14th Five-Year Plan period (2021-25). As the first open-source deep-learning platform in China, Baidu's PaddlePaddle provides software developers of all skill levels with the tools, services and resources they need to rapidly adopt and implement deep learning at scale. Ma said that at present, an increasing number of developers and companies are pushing forward with applications for intelligent transformation based on domestic deep-learning platforms so as to create solutions targeted at different scenarios in various industries.

With the continuous development of network technology and the ever-expanding scale of e-commerce, the number and variety of goods grow rapidly and users need to spend a lot of time to find the goods they want to buy. To solve this problem, the recommendation system came into being. The recommendation system is a subset of the Information Filtering System, which can be used in a range of areas such as movies, music, e-commerce, and Feed stream recommendations. The recommendation system discovers the user's personalized needs and interests by analyzing and mining user behaviors and recommends information or products that may be of interest to the user. Unlike search engines, recommendation systems do not require users to accurately describe their needs but model their historical behavior to proactively provide information that meets user interests and needs.

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's TensorFlow and Facebook's PyTorch, PaddlePaddle, which was open sourced in 2016, provides software developers of all skill levels with the tools, services, and resources they need to rapidly adopt and implement deep learning at scale. PaddlePaddle is being used by more than 1.9 million developers and 84,000 enterprises globally. Industries throughout China are using the platform to create specialized applications for their sectors, from the automotive industry's acceleration of autonomous vehicles to the health-care industry's applications for fighting covid-19. Indeed, the coronavirus pandemic, which has spread over 150 countries and caused a worldwide economic shock, is increasing demands for AI transformation.

Machine learning is going through something of a renaissance these days. It seems like there are new moves forward with this technology every day, from advances in image and sound recognition to lip reading and beating us at all the games. However, this renaissance has largely been funded by Silicon Valley. Companies are scrambling to find enough programmers capable of coding for ML and deep learning. Last year was a good year for the freedom of information, as titans of the industry Google, Microsoft, Facebook, Amazon, and even Baidu open-sourced a number of their ML frameworks.

PaddlePaddle, Baidu's open source framework for deep learning, is now compatible with the Kubernetes cluster management system to allow large models to be trained anywhere Kubernetes can run. This doesn't simply expand the range of systems that can be used for PaddlePaddle training; it also provides end-to-end deep learning powered by both projects. Deep learning frameworks must be trained on a given data set to produce results. The training process can be processor-intensive and time-consuming, so spreading it out across a cluster of machines speeds up the process. Baidu created Paddle (short for "PArallel Distributed Deep LEarning) to run across a cluster of machines to train models for tasks like machine translation and search-result ranking.

Welcome to DeveloperEconomics' weekly news roundup. In this edition, Google cancels its modular smartphone project, Apple plans to delete abandoned apps from the App Store and Epic releases a new version of Unreal Engine 4. Read on for the full news rundown. Google has expanded its Early Access beta testing, allowing any developer apply for the program. Previously, Early Access was only available to 29 hand-picked developers, who got to test out their apps with early-adopters (although other devs were given different testing options). Google says the Early Access program generated over 1 million beta installs since launching in May and "demand is only growing."

Many of the latest machine learning and data science tools purport to be easy to work with compared to previous generations of such frameworks and libraries. Chinese search engine giant Baidu now has an open source project in the same vein: a machine learning system it claims is easier to train and use because it exposes its functions through Python libraries. PaddlePaddle -- "Paddle" stands for "PArallel Distributed Deep LEarning" -- was developed by Baidu to augment many of its own products with deep learning. Baidu touted PaddlePaddle's speech transcription in Chinese, either for transcribing broadcasts or as a speech-to-text system to replace keyboards in smartphones. The company claims it needed 20,000 hours of audio as training material to achieve these results with its framework.

The Chinese Internet giant Baidu Inc. has been making big progress in applying deep learning neural networks to improve image recognition, language translation, search ranking and click prediction in advertising. Now, it's going to give a lot of it away. The company, often called "China's Google," will announce Thursday at the annual Baidu World conference in Beijing that it's offering the artificial intelligence software that its own engineers have been using for years as open source. Available in an early version on GitHub with full availability Sept. 30, it's code-named PaddlePaddle, for PArallel Distributed Deep LEarning. Deep learning is the branch of machine learning that attempts to emulate the way neurons work in the human brain to find patterns in data representing sounds, images, and other data.

Microsoft, Google, Facebook, and Amazon have all done it -- and now Baidu's doing it, too. The Chinese tech giant has open sourced one of its key machine learning tools, PaddlePaddle, offering the software up to the global community of AI researchers. This move has become common among tech firms as they pour more and more resources into their AI work. Open sourcing your tools is a good way to attract talent, but it also allows companies to shape the development of a field that's becoming increasingly central to consumer tech, underpinning everything from voice interfaces to auto-sorting photo galleries. Baidu's big claim for PaddlePaddle is that it's easier to use than rival programs.

Many of the latest machine learning and data science tools purport to be easy to work with compared to previous generations of such frameworks and libraries. Chinese search engine giant Baidu now has an open source project in the same vein: a machine learning system it claims is easier to train and use because it exposes its functions through Python libraries. PaddlePaddle -- "Paddle" stands for "PArallel Distributed Deep LEarning" -- was developed by Baidu to augment many of its own products with deep learning. Baidu touted PaddlePaddle's speech transcription in Chinese, either for transcribing broadcasts or as a speech-to-text system to replace keyboards in smartphones. The company claims it needed 20,000 hours of audio as training material to achieve these results with its framework.