This article describes how to test the quality of the technology and systems of the Alibaba AI mid-end, search, recommendation, and advertising applications.
This article is based on the enterprise data lake construction solution using E-MapReduce and customer best practices shared by Ziguan.
This article discusses the newly introduced features and capabilities of Alibaba Cloud's machine learning platform, PAI.
This article explains how to build a personalized recommendation system by illustrating a news recommendation system using AnalyticDB for PostgreSQL.
This article explores how image recognition technology is used in AMAP data production for more accurate character and text recognition.
This article focuses on deep learning algorithm engineering and uses Taobao to explain how to build a device-to-device platform for AI algorithm platforms.
In this article, Alibaba technical expert Aohai introduces the matching module in a recommender system and discusses the architecture.
In this article, Alibaba technical expert Aohai introduces the online service orchestration and architecture for a recommender system.
In this article, Alibaba technical expert Aohai introduces the ranking algorithms and training architectures of a recommender system, specifically.
In this article, Alibaba technical expert Aohai introduces the basic concepts and architecture of an enterprise-level recommender system.
In this blog, we'll review useful tricks in deep learning like application of Mobile Neural Network and QA Systems.
This article enlists the challenges of implementing Alluxio in high-performance distributed deep learning model training scenarios.
This article demonstrates how Alluxio simplifies running the PyTorch framework on HDFS using the Kubernetes platform to drastically improve development efficiency.
Baitao, Yueyi, Jingzhou, Hongcheng, Yingzhi, and Kante introduce research about the interactive ability of gesture recognition by the Tmall Genie M laboratory.
In this blog, Jin Rong, VP of Research at Alibaba DAMO Academy, discusses the current practices, innovations, and future avenues of exploration in AI.
Comprehensive information, detailing the latest Mars releases and plans for upcoming releases.
The author explains the commonalities and differences of code within common Python tools, Mars, and RAPIDS, and how it can pave the way for the future of data science.
Let's look over the current developments in AI and why cloud computing is the key technology to exploring the most value of AI at your enterprise.
Alibaba marked a new achievement according to Gartner's Market Share: Enterprise Network Equipment by Market Segment, Worldwide, 4Q19 and 2019.
This article introduces Alibaba's Artificial Intelligence Online Serving (AI OS) and the evolution of its technical architecture and practices.