Alibaba stood out from nearly 100 teams of scientists for accurately detecting liver nodules in the Liver Tumor Segmentation Challenge (LiTS Challenge).
This article is an outline of Alibaba's machine translation capabilities, the machine translation challenges, strategies and how it impacts the e-commerce business scenario.
In this article, we take a quick look at the history of chatbots, and introduce the features of Alibaba Cloud's Intelligent Service Robot.
QA systems can interpret a user's questions described in natural language and return concise and accurate matched answers by searching in the heterogeneous corpora or QA knowledge bases.
Heart disease is a major cause of death, affecting over 1/3 of the world's population. This article illustrates how to build a heart disease predictio.
In this article, we will talk about the main areas where humans and AI technology need to improve and how human/computer interaction is going to make way for AI applications.
This article discusses how and where you can find public data to use in machine learning pipelines that you can then use in a variety of applications.
This tutorial looks at the Scikit-Learn library for machine learning and how you can use machine learning algorithms on Alibaba Cloud.
This project is from the team MnoL, which was awarded with the Third Prize in the Global AI Innovation Challenge 2021 - Intelligent Weather Forecast for Better life.
In this article, Alibaba technical expert Aohai introduces the basic concepts and architecture of an enterprise-level recommender system.
This week we're taking a look at PAI Studio, a drag-and-drop machine learning tool that makes it easy for anybody to build and train machine learning models.
This article explains the benefits of AI Sports and end intelligence.
This article introduces Alibaba's Artificial Intelligence Online Serving (AI OS) and the evolution of its technical architecture and practices.
10 Alibaba Cloud experts discuss feature input in prediction tasks and using PFD to maximize privileged features, particularly with Taobao recommendations.
In this blog, Feifei Li, President of Database Systems at Alibaba, shares his thoughts on how AI will play a huge role in business operations in the future.
This article explains how to build a personalized recommendation system by illustrating a news recommendation system using AnalyticDB for PostgreSQL.
This article takes a look at the network architecture and network management system that powered this year's Double 11.
The solutions that Cainiao, Alibaba's Smart Logistics Network, created have helped make impossible possible, greatly accelerating deliveries during Double 11.
This article explores how Alibaba Customer Services Assistant makes human-machine collaboration an inclusive capability across the service industry to enhance the quality of customer service.
This article describes how users interact with the recommendation systems. It demonstrates the implementation of the interactive recommendation through the weather vane model.