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Deep Learning

Recommendation System: Matching Algorithms and Architecture

In this article, Alibaba technical expert Aohai introduces the matching module in a recommender system and discusses the architecture.

Recommender System: Online Service Orchestration and Architecture

In this article, Alibaba technical expert Aohai introduces the online service orchestration and architecture for a recommender system.

Recommender System: Ranking Algorithms and Training Architectures

In this article, Alibaba technical expert Aohai introduces the ranking algorithms and training architectures of a recommender system, specifically.

Basic Concepts and Architecture of a Recommender System

In this article, Alibaba technical expert Aohai introduces the basic concepts and architecture of an enterprise-level recommender system.

Revealing Neural Network and QA system Behind Deep Learning

In this blog, we'll review useful tricks in deep learning like application of Mobile Neural Network and QA Systems.

Impacts of Alluxio Optimization on Kubernetes Deep Learning and Training

This article enlists the challenges of implementing Alluxio in high-performance distributed deep learning model training scenarios.

Alluxio Deep Learning Practices - 1: Running PyTorch Framework on HDFS

This article demonstrates how Alluxio simplifies running the PyTorch framework on HDFS using the Kubernetes platform to drastically improve development efficiency.

Gesture Recognition: The Right Way to AI Interaction

Baitao, Yueyi, Jingzhou, Hongcheng, Yingzhi, and Kante introduce research about the interactive ability of gesture recognition by the Tmall Genie M laboratory.

Where Does AI Stand Today?

In this blog, Jin Rong, VP of Research at Alibaba DAMO Academy, discusses the current practices, innovations, and future avenues of exploration in AI.

What's New with Mars - Alibaba's Distributed Scientific Computing Engine

Comprehensive information, detailing the latest Mars releases and plans for upcoming releases.

Use Mars with RAPIDS to Accelerate Data Science on GPUs in Parallel Mode

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.

The Major Developments in AI and What's Powering Them

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 Achieves Largest 3Q19-4Q19 Revenue Change in Application Delivery Controllers Worldwide

Alibaba marked a new achievement according to Gartner's Market Share: Enterprise Network Equipment by Market Segment, Worldwide, 4Q19 and 2019.

The Secret Behind Taobao's AI-Powered Personalized Recommendations

This article introduces Alibaba's Artificial Intelligence Online Serving (AI OS) and the evolution of its technical architecture and practices.

See How a Professional Translation Platform's Helping Experts Fight the Coronavirus

The team at Alibaba DAMO Academy has recently launched a platform to help provide professional translation services to medical experts around the world.

Alibaba Cloud AI Tops DAWN Deep Learning Benchmark (DAWNBench)

Alibaba Cloud AI computing services has recently set new records at the DAWNBench benchmark, ranking first in four categories.

Is Unlabeled Data Not So Useless After All? See What Alibaba's Doing with It

This article looks at the algorithm devised by Alibaba engineers, which turns unlabeled data into a valuable commodity.

Alibaba's AI Technology: The Force Behind Gross Merchandise Volume of RMB 268.4 Billion

This article provides a walkthrough of a speech by Lin Wei, a researcher at the Alibaba Cloud's Artificial Intelligence (AI) division.

Unveiling the Algorithm behind "Picks For You"

This article explains the algorithm to insert marketing scenario cards into the "Picks For You" display for effectively distributing traffic and improving overall position exposure gain.

How to Improve User Participation: The Rise of Interactive Recommendations

This article describes how users interact with the recommendation systems. It demonstrates the implementation of the interactive recommendation through the weather vane model.