BestHub
Sign in
Tagged articles
5000 articles
Page 47 of 50
Didi Tech
Didi Tech
Nov 5, 2020 · Artificial Intelligence

Self-Learning Platform for Speech Recognition Model Optimization at DiDi

DiDi’s self‑learning ASR platform lets non‑technical users upload business data, automatically train, test and deploy models with semi‑supervised learning, hot‑word updates and LSTM rescoring, creating a closed‑loop pipeline that boosted vehicle voice‑interaction accuracy from around 80 % to over 95 % within months.

AILanguage ModelSemi-supervised Learning
0 likes · 14 min read
Self-Learning Platform for Speech Recognition Model Optimization at DiDi
StarRing Big Data Open Lab
StarRing Big Data Open Lab
Nov 5, 2020 · Cloud Native

How Transwarp Scheduler Tackles Mixed Workloads in Unified Cloud‑Native Infrastructure

This article reviews the challenges of scheduling heterogeneous workloads—micro‑services, big‑data, AI, and HPC—on a unified cloud‑native platform, compares existing schedulers like Mesos and YARN, examines Kubernetes ecosystem extensions such as Volcano and YuniKorn, and details the design and components of the Transwarp Scheduler built on Kubernetes Scheduling Framework v2.

AIBig DataCloud Native
0 likes · 16 min read
How Transwarp Scheduler Tackles Mixed Workloads in Unified Cloud‑Native Infrastructure
Taobao Frontend Technology
Taobao Frontend Technology
Nov 4, 2020 · Frontend Development

How Front‑End AI is Transforming Development: From Design to Code

Front‑end intelligentization leverages AI and machine learning to empower developers with design‑to‑code automation, smart UI generation, and Pipcook integration, aiming to solve frontline engineers' pain points, boost productivity, and evolve the front‑end technology stack through deterministic, robust, and evolutionary approaches.

AIautomationdesign-to-code
0 likes · 14 min read
How Front‑End AI is Transforming Development: From Design to Code
DataFunTalk
DataFunTalk
Nov 4, 2020 · Artificial Intelligence

Intelligent E‑commerce Search: Architecture, Techniques, and Real‑World Impact

This article explores the evolution of e‑commerce search, detailing why search matters, the technical pipeline—including query preprocessing, entity and intent recognition, knowledge‑graph construction, recall, coarse and fine ranking—and demonstrates substantial performance gains through real‑world case studies.

AISearche‑commerce
0 likes · 16 min read
Intelligent E‑commerce Search: Architecture, Techniques, and Real‑World Impact
JD Cloud Developers
JD Cloud Developers
Nov 4, 2020 · Artificial Intelligence

How Cloud Trade Fairs Use AI to Power Smart Recommendations

This article explains how a cloud‑based trade fair leverages AI techniques—including user and item profiling, multi‑level caching with Caffeine and Redis, and a Deep Interest Network model with attention mechanisms—to deliver personalized, high‑performance recommendations for exhibitors, buyers, and individual users.

AIDeep Learningcaching
0 likes · 15 min read
How Cloud Trade Fairs Use AI to Power Smart Recommendations
JD Cloud Developers
JD Cloud Developers
Nov 4, 2020 · Artificial Intelligence

Multimodal AI Breakthroughs Unveiled at NLPCC 2020 Workshop

The article recaps the inaugural Multimodal Natural Language Processing workshop at NLPCC 2020, highlighting breakthroughs in multimodal summarization, pre‑training models, AI‑driven art, visual‑language interaction, and multimodal dialogue systems, and showcases research from leading institutions and industry partners.

AIMultimodalNLP
0 likes · 9 min read
Multimodal AI Breakthroughs Unveiled at NLPCC 2020 Workshop
Didi Tech
Didi Tech
Nov 3, 2020 · Artificial Intelligence

Advances in Single‑Channel Speech Separation and Target Speaker Extraction with Iterative Refined Adaptation

The article surveys recent advances in single‑channel speech separation and target‑speaker extraction, explains the encoder‑separator‑decoder framework, compares frequency‑ and time‑domain methods, highlights models such as SpEx+, DPRNN‑Spe, and introduces Iterative Refined Adaptation, which iteratively improves speaker embeddings to boost SI‑SDR performance and enables effective speaker‑suppression for applications like in‑vehicle voice interaction.

AIDeep Learningaudio signal processing
0 likes · 13 min read
Advances in Single‑Channel Speech Separation and Target Speaker Extraction with Iterative Refined Adaptation
Beike Product & Technology
Beike Product & Technology
Nov 2, 2020 · Artificial Intelligence

Beike Commercialization Strategy Algorithm Platform: Architecture, AI Techniques, and System Evolution

This presentation details Beike's AI‑driven commercial strategy platform, covering business scenarios, the evolution of its architecture from 2018 to 2020, the challenges faced, the redesign into online, near‑real‑time, and offline layers, key technologies such as vector search, model serving, and microservice governance, as well as performance gains and future directions.

AIReal Estatescalable architecture
0 likes · 23 min read
Beike Commercialization Strategy Algorithm Platform: Architecture, AI Techniques, and System Evolution
Meituan Technology Team
Meituan Technology Team
Oct 29, 2020 · Artificial Intelligence

Meituan Tech Salon 57 – Knowledge Graph Practice (CIKM2020) Special Session

The Meituan Tech Salon 57, held online on November 21 2020, featured four CIKM‑2020‑aligned talks that explored knowledge‑graph‑driven AI for e‑commerce, including a multi‑modal KG attention network for recommendation, a graph‑embedding search model, a query‑aware recommendation‑reason generator, and a self‑supervised sequential recommendation framework.

AICIKM2020
0 likes · 5 min read
Meituan Tech Salon 57 – Knowledge Graph Practice (CIKM2020) Special Session
Beike Product & Technology
Beike Product & Technology
Oct 29, 2020 · Artificial Intelligence

Engineering Architecture Practices for an AI‑Powered Recommendation Platform at Beike

The article details Beike's intelligent recommendation platform, describing its C‑end and B‑end user scenarios, the challenges of handling numerous recommendation scenes and material types, and how a strategy‑driven, multi‑stage architecture—from rapid V1.0 construction to V4.0 deep‑model integration—has been evolved, optimized for stability, real‑time processing, and future search‑recommendation convergence.

AIBeikearchitecture
0 likes · 17 min read
Engineering Architecture Practices for an AI‑Powered Recommendation Platform at Beike
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 29, 2020 · Frontend Development

How Big Data and AI Are Redefining Front‑End Development

From the early days of static web pages to today's data‑driven, AI‑enhanced interfaces, this article explores how the big‑data boom and artificial‑intelligence advances since 2010 have transformed front‑end technologies, driving innovations in data visualization, web‑based software, and diverse user interactions.

AIBig DataData visualization
0 likes · 11 min read
How Big Data and AI Are Redefining Front‑End Development
JD Cloud Developers
JD Cloud Developers
Oct 26, 2020 · Artificial Intelligence

Top Tech Breakthroughs: Open‑Source Graph AI, Moon 4G, Brain‑Inspired Computing

This roundup covers JD's upcoming open‑source graph AI platform, LINE's CBDC talks with Asian central banks, NASA's lunar 4G network plan, Microsoft‑SpaceX cloud rivalry, Nvidia's Ampere GPU supercomputer, Intel‑powered AI satellite, a heterogenous GNN for malware detection, and a brain‑inspired computing architecture advancing AI research.

AIBlockchainbrain-inspired computing
0 likes · 8 min read
Top Tech Breakthroughs: Open‑Source Graph AI, Moon 4G, Brain‑Inspired Computing
Top Architect
Top Architect
Oct 25, 2020 · Fundamentals

Top 8 Software Development Trends Shaping the Next Decade

The article outlines eight major software development trends expected to dominate the next ten years, including the continued rise of artificial intelligence, Python’s growth with AI/ML, 5G’s impact, edge and cloud computing expansion, emerging languages like Rust, Kubernetes dominance, React’s persistence, and the lowering barrier for self‑taught programmers.

5GAIKubernetes
0 likes · 8 min read
Top 8 Software Development Trends Shaping the Next Decade
Beike Product & Technology
Beike Product & Technology
Oct 24, 2020 · Artificial Intelligence

FrameX: An AI System for Intelligent Floorplan Analysis and Applications

FrameX is an AI-powered platform developed by Beike’s Data Intelligence Center that leverages vector floorplan data to automatically tag, score, interpret, cluster, and retrieve housing layouts, supporting numerous business scenarios through a layered architecture of data, feature, and application layers.

AIDeep LearningFloorplan Analysis
0 likes · 9 min read
FrameX: An AI System for Intelligent Floorplan Analysis and Applications
Didi Tech
Didi Tech
Oct 22, 2020 · Artificial Intelligence

Multi-turn Response Triggering Model (MRTM) for Intelligent Customer Service Chatbots

The article reviews Didi’s research on a Multi‑turn Response Triggering Model (MRTM) that uses self‑supervised learning and asymmetric self‑attention to decide when a customer‑service chatbot should reply, achieving higher accuracy and recall than rule‑based and supervised baselines while remaining efficient enough for production deployment.

AIChatbotcustomer-service
0 likes · 12 min read
Multi-turn Response Triggering Model (MRTM) for Intelligent Customer Service Chatbots
Tencent Cloud Developer
Tencent Cloud Developer
Oct 21, 2020 · Cloud Computing

Computing Power as New Infrastructure: Trends, Challenges, and Future Outlook

In the next decade computing power will become a ubiquitous utility akin to water or electricity, forming a new digital infrastructure delivered through cloud platforms, while China’s “new infrastructure” strategy drives upgrades, smart retrofits, and AI‑enabled services, confronting material limits, cooling demands, and heightened security‑computing challenges to enable a democratized, energy‑efficient computing era.

AICoolingNew Infrastructure
0 likes · 17 min read
Computing Power as New Infrastructure: Trends, Challenges, and Future Outlook
DataFunTalk
DataFunTalk
Oct 20, 2020 · Artificial Intelligence

From Biological Neurons to Artificial Neural Networks: Perceptrons, Multilayer Perceptrons, and Backpropagation

This article traces the evolution of artificial neural networks from their biological inspiration, explains the McCulloch‑Pitts neuron model, details perceptron architecture and learning rule with a Scikit‑Learn example, and introduces multilayer perceptrons and the back‑propagation algorithm together with common activation functions.

AIBackpropagationDeep Learning
0 likes · 19 min read
From Biological Neurons to Artificial Neural Networks: Perceptrons, Multilayer Perceptrons, and Backpropagation
Open Source Linux
Open Source Linux
Oct 19, 2020 · Artificial Intelligence

How Huawei Built a Multi‑Series Chip Empire: From AI to 5G

This article offers a comprehensive overview of Huawei's three‑decade chip development, detailing the evolution of its AI, computing, mobile SoC, 5G communication, IoT, and video chips, their technical specifications, market impact, and future roadmap within China's semiconductor landscape.

5GAIChip Design
0 likes · 15 min read
How Huawei Built a Multi‑Series Chip Empire: From AI to 5G
Yuewen Technology
Yuewen Technology
Oct 16, 2020 · Artificial Intelligence

How Intelligent Traffic Distribution Boosts New Book Exposure in Reading Apps

This article describes the design and implementation of an intelligent traffic distribution system for a reading platform, detailing its background, overall architecture, sub-modules such as the small‑traffic experiment platform, near‑line computation, retrieval strategies, pacing algorithms, and how it balances user personalization with content ecosystem growth.

AIBig DataReal-time Streaming
0 likes · 8 min read
How Intelligent Traffic Distribution Boosts New Book Exposure in Reading Apps
Didi Tech
Didi Tech
Oct 16, 2020 · Artificial Intelligence

Mask Detection System and Visual AI Competition Achievements

Didi’s COVID‑19 mask‑detection system, built on a DFS‑based face detector and an attention‑enhanced ResNet‑50 mask classifier achieving over 99.5 % accuracy, has been deployed in vehicles, open‑sourced, and complemented by top‑ranked results in international visual AI contests, including first place in driver‑gaze prediction and podium finishes in emotion recognition and model‑compression challenges.

AIComputer VisionDeep Learning
0 likes · 22 min read
Mask Detection System and Visual AI Competition Achievements
JD Cloud Developers
JD Cloud Developers
Oct 15, 2020 · Cloud Native

Explore Cutting-Edge Cloud Native Innovations at COSCon'20: AI, Rust, Serverless, and More

COSCon'20 presents a rich lineup of talks covering AI microservices with Rust and WebAssembly, scalable cloud‑native application management, serverless rendering, HTTP/3 for IoT, cloud‑native trends, RocketMQ, CloudBase Framework, event mesh, Podman, Quarkus, Go microservices, Pulsar, Kubernetes stateful services, dubbogo, ElasticJob, Seata, SkyWalking on Kubernetes, and Spring on Azure, inviting developers to deepen their expertise in modern cloud‑native technologies.

AICloud NativeContainers
0 likes · 16 min read
Explore Cutting-Edge Cloud Native Innovations at COSCon'20: AI, Rust, Serverless, and More
JD Tech Talk
JD Tech Talk
Oct 12, 2020 · Artificial Intelligence

Transfer Learning for Human Mobility Modeling in New Cities

The paper presented at WWW 2020 proposes a transfer‑learning framework that leverages POI, road‑network and traffic data from existing cities to generate realistic human mobility trajectories for a target city by modeling mobility intentions, origin‑destination pairs, and routes, and validates the approach with extensive experiments across multiple Chinese cities.

AIUrban Computingdomain generalization
0 likes · 10 min read
Transfer Learning for Human Mobility Modeling in New Cities
Didi Tech
Didi Tech
Oct 10, 2020 · Artificial Intelligence

Deep Reinforcement Learning for Route Planning in DiDi Ride‑Hailing

DiDi’s route engine, handling over 40 billion daily requests, replaces static graph algorithms with a deep‑reinforcement‑learning system that first learns intersection decisions via behavior‑cloning LSTM models and then refines them through self‑play Q‑learning, using beam‑search decoding to produce globally optimal, low‑deviation routes for ride‑hailing.

AIBeam SearchReinforcement Learning
0 likes · 12 min read
Deep Reinforcement Learning for Route Planning in DiDi Ride‑Hailing
58 Tech
58 Tech
Oct 9, 2020 · Artificial Intelligence

Speaker Role Recognition in an Intelligent Voice Analysis Platform

This article describes a speaker role recognition system for a voice analysis platform, detailing a gender‑based pre‑filter, keyword‑matching and TextCNN‑based text classification, and single‑sentence correction methods that together improve role assignment accuracy by about 6% over baseline third‑party solutions.

AINLPTextCNN
0 likes · 12 min read
Speaker Role Recognition in an Intelligent Voice Analysis Platform
IT Architects Alliance
IT Architects Alliance
Oct 4, 2020 · Industry Insights

How Huawei Built a Five‑Series Chip Empire: From 1991 to AI Powerhouses

This article traces Huawei’s three‑decade journey from its modest 1991 chip beginnings to a diversified portfolio of five major series—Kirin, Kunpeng, Ascend, Balong/Tiangang, Boudica/Lingxiao, and Honghu—detailing their technical evolution, market impact, and future roadmap across mobile, compute, AI, 5G, IoT, and video domains.

5GAIChip Design
0 likes · 18 min read
How Huawei Built a Five‑Series Chip Empire: From 1991 to AI Powerhouses
Architects' Tech Alliance
Architects' Tech Alliance
Oct 2, 2020 · Fundamentals

Comprehensive Overview of Huawei’s Chip Industry: History, Major Product Lines, and Future Directions

This article presents a detailed survey of Huawei’s three‑decade chip development journey, outlining the evolution of its five major chip families—including Kunpeng, Ascend, Kirin, Balong/Tianang, Boudica/Lingxiao, and Honghu—while highlighting key technical specifications, market impact, and future prospects.

5GAIChipDesign
0 likes · 15 min read
Comprehensive Overview of Huawei’s Chip Industry: History, Major Product Lines, and Future Directions
High Availability Architecture
High Availability Architecture
Sep 29, 2020 · Artificial Intelligence

Architecture Design Overview of Recommendation Systems

This article reviews the core algorithm modules of recommendation systems from an architectural perspective, discussing offline, near‑line, and online layers, the trade‑offs between personalization, timeliness, and resource consumption, system boundaries, external dependencies, and the practical design of each layer.

AIBig Dataarchitecture
0 likes · 30 min read
Architecture Design Overview of Recommendation Systems
Programmer DD
Programmer DD
Sep 29, 2020 · Artificial Intelligence

How Ride‑Hailing Giants Use AI‑Powered Data Platforms to Optimize Pricing and Safety

This article examines how O2O ride‑hailing platforms such as Uber and Didi rely on layered system architectures and AI‑driven data middle platforms to enable intelligent dispatch, dynamic pricing, and safety mechanisms, detailing the core components, matching algorithms, and machine‑learning models that power these services.

AIData PlatformRide Hailing
0 likes · 20 min read
How Ride‑Hailing Giants Use AI‑Powered Data Platforms to Optimize Pricing and Safety
FunTester
FunTester
Sep 28, 2020 · Fundamentals

When to Use Code‑Based vs. No‑Code Test Automation: Key Considerations

The article examines when to choose code‑based versus no‑code test automation, outlining key factors such as use cases, team skills, CI/CD integration, cost, scalability, and maintenance, and concludes that combining both approaches often yields the best results.

AINo-codeSelenium
0 likes · 11 min read
When to Use Code‑Based vs. No‑Code Test Automation: Key Considerations
Programmer DD
Programmer DD
Sep 28, 2020 · Artificial Intelligence

How Ride‑Hailing Platforms Use AI for Smart Matching and Pricing

This article examines how O2O ride‑hailing services like Uber and Didi rely on layered system architecture and algorithmic data platforms to enable intelligent matching, dynamic pricing, and safety mechanisms through machine‑learning models and real‑time data integration.

AIData PlatformRide Hailing
0 likes · 20 min read
How Ride‑Hailing Platforms Use AI for Smart Matching and Pricing
Didi Tech
Didi Tech
Sep 27, 2020 · Artificial Intelligence

Public Transportation Services: Technical Challenges and Future Prospects

The article surveys modern public transportation, detailing the shift to multimodal systems and the technical hurdles of path‑planning and real‑time bus services—such as layered routing architectures, heuristic pruning, inconsistent data standards, AI‑driven GPS compensation—and explores future advances like personalized sorting, deep sequence prediction models, and big‑data optimization for smarter cities.

AIETA predictionSmart City
0 likes · 10 min read
Public Transportation Services: Technical Challenges and Future Prospects
DataFunTalk
DataFunTalk
Sep 26, 2020 · Artificial Intelligence

What Makes a Good Model? Understanding Model Concepts, Types, and Evaluation in Data Science

This article explores the definition of a model, distinguishes business, data, and function models, discusses criteria for a good model—including performance, fidelity to real‑world relationships, and interpretability—and examines why a universal model does not exist, all within the context of data science and AI.

AIData ScienceInterpretability
0 likes · 18 min read
What Makes a Good Model? Understanding Model Concepts, Types, and Evaluation in Data Science
Amap Tech
Amap Tech
Sep 24, 2020 · Artificial Intelligence

Hybrid Spatio‑Temporal Graph Convolutional Network for Precise Traffic Prediction

At the 2020 Yunqi Conference, Amap’s senior algorithm expert presented the Hybrid Spatio‑Temporal Graph Convolutional Network, which leverages massive real‑time navigation data to estimate future traffic flow, transform it into travel‑time features, and outperform prior models, enabling proactive congestion avoidance and dynamic traffic‑scheduling for millions of users.

AIHSTGCNSmart Mobility
0 likes · 11 min read
Hybrid Spatio‑Temporal Graph Convolutional Network for Precise Traffic Prediction
Tencent Advertising Technology
Tencent Advertising Technology
Sep 22, 2020 · Artificial Intelligence

Automated Machine Learning: Challenges, Techniques, and the SolnML System – Q&A Highlights from the 2020 Tencent Advertising Algorithm Competition Live Series

This article summarizes the Q&A session of the 2020 Tencent Advertising Algorithm Competition live series, covering the fundamentals of automated machine learning, its key technologies, current challenges, and the features and advantages of the SolnML system, while also addressing practical concerns such as hardware support and future research directions.

AIAutoMLMeta Learning
0 likes · 13 min read
Automated Machine Learning: Challenges, Techniques, and the SolnML System – Q&A Highlights from the 2020 Tencent Advertising Algorithm Competition Live Series
JD Cloud Developers
JD Cloud Developers
Sep 21, 2020 · Artificial Intelligence

What’s Shaping Tech This Week? AI, Cloud, 5G, and More in Our New Audio Brief

This week’s tech roundup covers JD’s open‑source federated learning platform, a booming eSIM market, Nasdaq’s cloud migration plan, China’s 5G expansion, AI‑driven deep‑fake legal challenges, an underwater data center with low failure rates, IBM’s open‑source POWER core, a text‑controlled generation model, and a new visual‑dialog AI system.

5GAIeSIM
0 likes · 8 min read
What’s Shaping Tech This Week? AI, Cloud, 5G, and More in Our New Audio Brief
58 Tech
58 Tech
Sep 21, 2020 · Artificial Intelligence

58.com AI Algorithm Competition: Winning Teams and Their Technical Solutions

The 58.com AI Algorithm Competition showcased intelligent customer‑service technology, with 158 teams competing on text classification and matching tasks, and the top five teams presenting detailed BERT, ELECTRA, focal‑loss and multi‑model fusion solutions along with award ceremonies, video recordings and PPT resources.

AIBERTELECTRA
0 likes · 9 min read
58.com AI Algorithm Competition: Winning Teams and Their Technical Solutions
ITPUB
ITPUB
Sep 19, 2020 · Backend Development

Inside the Backend Architecture of 58.com’s Intelligent Voice Robot

This article details the design and implementation of 58.com’s intelligent voice robot backend, covering its four‑layer architecture, SIP/SDP/RTP protocols, connection setup, multi‑turn voice interaction flow, DTMF handling, common troubleshooting issues, algorithm service modularization, SIP scheduling optimizations, and Java thread‑pool system tuning.

AIBackendSIP
0 likes · 13 min read
Inside the Backend Architecture of 58.com’s Intelligent Voice Robot
Suning Technology
Suning Technology
Sep 17, 2020 · Artificial Intelligence

How SuNing’s Fourth‑Gen Digital Visual Unmanned Store Redefines AI‑Powered Retail

SuNing’s fourth‑generation fully digital visual unmanned store combines 3D reconstruction, AI‑driven perception, and modular hardware‑software design to achieve real‑time, all‑scene, all‑time, all‑digital analysis of people, goods, and spaces, enabling precise offline marketing and scalable retail digitization.

AIComputer VisionDigital Twin
0 likes · 27 min read
How SuNing’s Fourth‑Gen Digital Visual Unmanned Store Redefines AI‑Powered Retail
Programmer DD
Programmer DD
Sep 17, 2020 · Artificial Intelligence

Why Nvidia’s $40B Arm Acquisition Could Redefine AI Computing

Nvidia’s $40 billion purchase of Arm from SoftBank merges its AI chip expertise with Arm’s vast processor ecosystem, promising new AI research centers, open licensing, and a strategic edge against rivals while reshaping the future of computing hardware.

AIARMNvidia
0 likes · 8 min read
Why Nvidia’s $40B Arm Acquisition Could Redefine AI Computing
JD Tech Talk
JD Tech Talk
Sep 17, 2020 · Artificial Intelligence

Design and Implementation of a High‑Availability Distributed Machine Learning Model Online Inference System

This article presents a comprehensive technical solution for a distributed online inference system that packages machine‑learning models in Docker containers, orchestrates them with Kubernetes for fault‑tolerant, elastic scaling, and integrates model repositories, image registries, monitoring, and automated model selection to streamline deployment, updates, and resource management.

AIDockerKubernetes
0 likes · 15 min read
Design and Implementation of a High‑Availability Distributed Machine Learning Model Online Inference System
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Sep 16, 2020 · Artificial Intelligence

How TensorNet Supercharges Sparse Feature Training on TensorFlow

TensorNet is a TensorFlow‑based distributed training framework optimized for massive sparse‑feature models in advertising and recommendation, dramatically reducing parameter sync overhead, enabling near‑infinite feature dimensions, cutting training time from hours to minutes, and boosting inference performance by up to 35%.

AIRecommendation SystemsTensorFlow
0 likes · 10 min read
How TensorNet Supercharges Sparse Feature Training on TensorFlow
Tencent Advertising Technology
Tencent Advertising Technology
Sep 16, 2020 · Artificial Intelligence

Federated Learning for Advertising and Recommendation: Key Insights and Q&A

This article summarizes the 2020 Tencent Advertising Algorithm Competition live‑stream series, presenting expert explanations of federated learning, its technical background, typical use cases, privacy and security mechanisms, and answers to common questions about applying federated learning to digital marketing.

AIDigital Marketingmachine learning
0 likes · 11 min read
Federated Learning for Advertising and Recommendation: Key Insights and Q&A
JD Retail Technology
JD Retail Technology
Sep 15, 2020 · Artificial Intelligence

Federated Learning and the 9NFL Platform: Architecture, Features, and Real‑World Applications

This article explains how federated learning addresses data‑island challenges under privacy regulations, introduces JD.com’s 9NFL federated learning platform, details its component‑based, high‑availability, high‑performance architecture, and showcases a successful advertising use case that boosted revenue by over 10%.

AIFederated LearningJD.com
0 likes · 7 min read
Federated Learning and the 9NFL Platform: Architecture, Features, and Real‑World Applications
JD Cloud Developers
JD Cloud Developers
Sep 14, 2020 · Artificial Intelligence

This Week’s Tech Highlights: AI Competition Victory, Cloud Growth & New Research

The latest Developer Community Tech Weekly covers JD AI's QuAC competition win, the launch of China's first open‑source foundation, a surge in cloud spending during the pandemic, C++'s TIOBE resurgence, Starlink's sub‑20 ms latency, a teen‑led DDoS incident, and cutting‑edge research on GAN‑based recommendation, image localization, and 3D semantic segmentation datasets.

AIcloud computingresearch
0 likes · 7 min read
This Week’s Tech Highlights: AI Competition Victory, Cloud Growth & New Research
58UXD
58UXD
Sep 11, 2020 · Product Management

How One‑Click VR Decoration Transforms Real‑Estate Visualization

One‑click decoration uses AI to recognize floor‑plan data and automatically generate immersive 3D interior designs, presenting multiple styles via VR to boost user engagement, empower merchants, and create a new selling scenario for the real‑estate market.

AIVRinterior design
0 likes · 11 min read
How One‑Click VR Decoration Transforms Real‑Estate Visualization
DataFunTalk
DataFunTalk
Sep 11, 2020 · Artificial Intelligence

Open-Domain Dialogue Systems: Current Status and Future Directions

This presentation by Baidu chief architect Wang Fan reviews the classification of dialogue systems, discusses the challenges of end‑to‑end open‑domain conversation generation, introduces multi‑mapping and knowledge‑grounded techniques, describes large‑scale PLATO models and automated evaluation, and outlines future research directions.

AIDialogue SystemsPLATO
0 likes · 14 min read
Open-Domain Dialogue Systems: Current Status and Future Directions
21CTO
21CTO
Sep 7, 2020 · Databases

How Tencent’s Database Heroes Powered WeChat Red Packets, Honor of Kings, and Video Streaming

This article chronicles the evolution of Tencent's database technologies—from the early CKV and TcaplusDB systems that powered QQ Space and WeChat Red Packets, to the high‑performance TcaplusDB that supported Honor of Kings, and finally the AI‑driven DBbrain that keeps Tencent Video and cloud customers running smoothly under massive concurrent loads.

AIGamingTencent
0 likes · 40 min read
How Tencent’s Database Heroes Powered WeChat Red Packets, Honor of Kings, and Video Streaming
JD Cloud Developers
JD Cloud Developers
Sep 7, 2020 · Artificial Intelligence

This Week’s Tech Highlights: AI‑Driven Chip Production, New Blockchain Standard & More

The weekly roundup covers China's first financial blockchain standard, Intel's 11th‑gen Tiger Lake CPUs, Linux From Scratch v10, Microsoft's deep‑fake detection tool, a record‑scale brain‑inspired computer, a global traffic dip caused by a Level 3 BGP outage, TSMC's AI‑powered chip‑data processing, advances in Bayesian neural networks, and a SIGIR paper on two‑stage question matching.

AIHardwareLinux
0 likes · 8 min read
This Week’s Tech Highlights: AI‑Driven Chip Production, New Blockchain Standard & More
DataFunTalk
DataFunTalk
Sep 5, 2020 · Artificial Intelligence

Exploring Intelligent Recommendation System Architecture and Governance with Flowengine

This article examines the evolving challenges of recommendation system architecture, presents the Flowengine platform’s declarative, low‑code, component‑based approach to governance, and demonstrates how it improves scalability, maintainability, and cloud‑native deployment for AI‑driven recommendation services.

AICloud NativeFlowengine
0 likes · 22 min read
Exploring Intelligent Recommendation System Architecture and Governance with Flowengine
Suning Technology
Suning Technology
Sep 3, 2020 · Artificial Intelligence

How Suning’s Fourth‑Gen AI‑Powered Visual Unmanned Stores Transform Retail

Suning’s lecture series details the three‑decade evolution of retail, the company’s 30‑year digital transformation, and the technical architecture of its fourth‑generation fully digital visual unmanned stores that leverage AI, computer vision, and big‑data analytics to revolutionize in‑store operations and customer experience.

AIComputer VisionDigital Store
0 likes · 14 min read
How Suning’s Fourth‑Gen AI‑Powered Visual Unmanned Stores Transform Retail
Tencent Mobility Industry Design Center
Tencent Mobility Industry Design Center
Sep 1, 2020 · Artificial Intelligence

How Speech Act Analysis Can Unlock Robot Emotions

This article explores how analyzing speech acts—such as inquiries, commands, and expressions—within user utterances can reveal semantic focus points that guide robots in inferring appropriate emotional responses, highlighting classification methods, high‑frequency examples, and a configurable formula for emotion generation in AI dialogue systems.

AIDialogue Systemsrobot emotion
0 likes · 11 min read
How Speech Act Analysis Can Unlock Robot Emotions
Programmer DD
Programmer DD
Aug 31, 2020 · Artificial Intelligence

AI Fighter Falco Beats Human Pilot in Simulated Dogfight – Implications for Military AI

DARPA’s ACE program showcased the AI‑driven fighter Falco, built with the open‑source AdeptRL reinforcement‑learning framework, which defeated an experienced US Air Force instructor in a 1‑v‑1 simulated F‑16 dogfight, highlighting both the promise and current limitations of autonomous combat systems.

AIDARPAReinforcement Learning
0 likes · 7 min read
AI Fighter Falco Beats Human Pilot in Simulated Dogfight – Implications for Military AI
DataFunTalk
DataFunTalk
Aug 28, 2020 · Artificial Intelligence

Intelligent Traffic Distribution in 58 Local Services: Algorithmic Practices and System Optimization

This article presents a comprehensive overview of 58 Local Services' traffic distribution system, detailing the ecosystem, user interaction flow, challenges such as information homogeneity and complex user structures, and the algorithmic solutions—including information and knowledge structuring, multi‑task user intent modeling, layered optimization, and system integration—used to improve recall, ranking, and real‑time personalization.

AISearchinformation structuring
0 likes · 21 min read
Intelligent Traffic Distribution in 58 Local Services: Algorithmic Practices and System Optimization
DataFunTalk
DataFunTalk
Aug 27, 2020 · Artificial Intelligence

Computational Advertising vs Recommendation Systems: Key Differences and Popular Models

This article explains the fundamental differences between computational advertising and recommendation systems, outlines the distinct problems each field addresses, and surveys the most widely used advertising models—including traditional machine‑learning approaches, deep‑learning architectures, and hybrid solutions—providing practical insights for engineers in both domains.

AICTR modelsDeep Learning
0 likes · 11 min read
Computational Advertising vs Recommendation Systems: Key Differences and Popular Models
JD Retail Technology
JD Retail Technology
Aug 27, 2020 · Artificial Intelligence

Academia vs. Industry in AI: Differences, Development Challenges, and Collaborative Opportunities

The article compares academic and industrial AI research by examining leadership, team composition, research focus, funding, compute resources, and data usage, outlines core AI elements and development challenges, presents JD's AR try‑on and try‑shoe projects, and proposes collaboration models and talent‑exchange mechanisms to bridge the two worlds.

@DataAIAR
0 likes · 15 min read
Academia vs. Industry in AI: Differences, Development Challenges, and Collaborative Opportunities
Tencent Mobility Industry Design Center
Tencent Mobility Industry Design Center
Aug 27, 2020 · Artificial Intelligence

How Can Robots Simulate Human Emotions? Exploring AI Sentiment and Speech Acts

This article examines the concept of emotional robots, distinguishing true emotion from sentiment analysis, and proposes a framework for endowing conversational AI with artificial emotions by analyzing user utterances through speech‑act theory, semantic roles, and contextual cues to generate appropriate robot emotional feedback.

AIEmotionRobotics
0 likes · 11 min read
How Can Robots Simulate Human Emotions? Exploring AI Sentiment and Speech Acts
Alibaba Cloud Developer
Alibaba Cloud Developer
Aug 25, 2020 · Artificial Intelligence

Build a Free Cloud AI Speed‑Dating Model with Alibaba PAI‑DSW

This article introduces Alibaba Cloud’s free PAI‑DSW cloud IDE for AI development, explains the evolution of machine learning, guides users through creating notebooks, running Python code, and demonstrates a complete speed‑dating dataset analysis and predictive modeling pipeline using logistic regression and data‑balancing techniques.

AICloud IDEData Science
0 likes · 21 min read
Build a Free Cloud AI Speed‑Dating Model with Alibaba PAI‑DSW
DataFunTalk
DataFunTalk
Aug 22, 2020 · Artificial Intelligence

Dual Cold-Start News Recommendation via Neighborhood-Based Transfer Learning

This article presents a Neighborhood‑based Transfer Learning approach to solve the Dual Cold‑Start Recommendation problem in news services by transferring app‑installation similarity knowledge and using category‑level preferences to recommend unseen articles to brand‑new users.

AIcold startneighborhood
0 likes · 8 min read
Dual Cold-Start News Recommendation via Neighborhood-Based Transfer Learning
JD Tech Talk
JD Tech Talk
Aug 21, 2020 · Artificial Intelligence

JD Digits' Intelligent Anti‑Fraud Platform: AI‑Driven Real‑Time Fraud Detection and Knowledge‑Graph Solutions

JD Digits' intelligent anti‑fraud platform leverages machine learning, big‑data processing, graph neural networks and small‑sample knowledge‑graph algorithms to provide millisecond‑level, real‑time protection across 600+ scenarios, while also offering AI‑powered solutions to banks and publishing research at top conferences.

AIGraph Neural NetworkReal‑Time Computing
0 likes · 6 min read
JD Digits' Intelligent Anti‑Fraud Platform: AI‑Driven Real‑Time Fraud Detection and Knowledge‑Graph Solutions
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Aug 19, 2020 · Artificial Intelligence

A Four‑Year Stanford AI Curriculum Guide Compiled by Mihail Eric

This article presents a detailed four‑year study plan for aspiring artificial‑intelligence professionals, curated by Stanford graduate Mihail Eric, listing foundational, intermediate and advanced courses—including CS 106B, CS 107, CS 221, CS 229, CS 231N and more—along with practical advice for projects, research and internships.

AICoursesCurriculum
0 likes · 11 min read
A Four‑Year Stanford AI Curriculum Guide Compiled by Mihail Eric
Suning Technology
Suning Technology
Aug 18, 2020 · Backend Development

Boosting Mega‑Sale Stability: Suning’s Backend Data Components in Action

The article details how Suning’s transaction middle‑platform leverages custom TPS collection, advanced flow‑control, big‑data analytics, and AI‑driven forecasting to ensure system stability, capacity planning, and intelligent inventory distribution during the high‑traffic 818 promotional event.

AIBackendBig Data
0 likes · 17 min read
Boosting Mega‑Sale Stability: Suning’s Backend Data Components in Action
58 Tech
58 Tech
Aug 14, 2020 · Artificial Intelligence

Using SPTM in qa_match for the 58 City AI Competition: Data Preparation, Model Training, and Prediction

This article provides a step‑by‑step guide on preparing data, pre‑training the SPTM lightweight model, fine‑tuning a text‑classification model with qa_match, and generating competition‑ready predictions for the 58 City AI Algorithm Contest, including all required shell commands and parameter explanations.

AISPTMcompetition
0 likes · 9 min read
Using SPTM in qa_match for the 58 City AI Competition: Data Preparation, Model Training, and Prediction
Huolala Tech
Huolala Tech
Aug 13, 2020 · Operations

How Huolala’s “Smart Brain” Uses AI and Optimization to Revolutionize Logistics

At the 2020 Global Logistics Technology Conference in Haikou, Huolala CTO Zhang Hao detailed the company’s self‑developed “Smart Brain” system, which leverages AI, big‑data analytics, IoT and custom optimization algorithms to achieve real‑time, intelligent dispatch, dynamic pricing and safer, more efficient logistics operations.

AIBig DataIoT
0 likes · 6 min read
How Huolala’s “Smart Brain” Uses AI and Optimization to Revolutionize Logistics
58 Tech
58 Tech
Aug 12, 2020 · Artificial Intelligence

Guide to Using SPTM (Simple Pre-trained Model) with qa_match for an AI Competition

This article provides a step‑by‑step tutorial on preparing data, pre‑training the SPTM language model, fine‑tuning a text‑classification model, generating predictions, and creating a submission file for the 58.com AI algorithm competition using the open‑source qa_match toolkit.

AIModel TrainingNLP
0 likes · 9 min read
Guide to Using SPTM (Simple Pre-trained Model) with qa_match for an AI Competition
Programmer DD
Programmer DD
Aug 12, 2020 · Artificial Intelligence

Turn Photos and Videos into Cartoons with the Open‑Source Cartoonize AI

Cartoonize is an open‑source web application that leverages a white‑box GAN model to convert images and short videos into high‑quality cartoon style, offering easy Docker or virtualenv installation, detailed usage instructions, and insights into the underlying research paper.

AIDockerGAN
0 likes · 9 min read
Turn Photos and Videos into Cartoons with the Open‑Source Cartoonize AI
DataFunTalk
DataFunTalk
Aug 4, 2020 · Artificial Intelligence

Tips for Self‑Learning Algorithms and Transitioning into AI Roles

The article shares practical advice for self‑studying algorithms, emphasizing the importance of choosing appropriate resources, avoiding blind implementation, building a solid knowledge structure, networking with industry peers, and deciding early to accelerate a successful career switch into AI.

AIalgorithm learningcareer transition
0 likes · 7 min read
Tips for Self‑Learning Algorithms and Transitioning into AI Roles
JD Tech Talk
JD Tech Talk
Aug 4, 2020 · Artificial Intelligence

Champion Chasing Boy Team’s Solution for the 2020 Digital China Innovation Contest – Digital Government Track

The Champion Chasing Boy team presents a comprehensive AI‑driven solution for the 2020 Digital China Innovation Contest, detailing the competition background, data sources, feature engineering, LightGBM modeling, trajectory‑matching algorithms, system architecture, visual analytics, and safety monitoring for maritime vessel activity classification.

AILightGBMMaritime Analytics
0 likes · 10 min read
Champion Chasing Boy Team’s Solution for the 2020 Digital China Innovation Contest – Digital Government Track
Aotu Lab
Aotu Lab
Aug 4, 2020 · Frontend Development

Web Dev Highlights: Online Conference, React Inline Performance, 3D Innovations

The article surveys recent web and graphics advancements, covering Google’s first online Web Dev conference, a performance study of inline functions in React, Alipay’s 3D animation and gaming efforts, a Cornell‑led 3D wristband for VR, cloud gaming live streaming, a visual CNN explainer, Taro H5 optimizations, and JD’s PC homepage redesign.

AIGraphicsWeb Development
0 likes · 8 min read
Web Dev Highlights: Online Conference, React Inline Performance, 3D Innovations
58 Tech
58 Tech
Aug 3, 2020 · Artificial Intelligence

Intelligent Voice Quality Inspection System Architecture and Implementation at 58.com

The article details the design and deployment of an AI-powered intelligent voice quality inspection system at 58.com, covering its overall architecture, speech recognition, role identification, tag detection, rechecking platform, and backend infrastructure, and demonstrates its impact on call‑center efficiency and service quality.

AIBackend ArchitectureDeep Learning
0 likes · 12 min read
Intelligent Voice Quality Inspection System Architecture and Implementation at 58.com
DataFunTalk
DataFunTalk
Jul 29, 2020 · Artificial Intelligence

Multi‑Business Recommendation System Architecture and Optimization at 58.com

This article explains how 58.com designs a three‑layer recommendation system for its homepage, tackles challenges of multi‑business fusion, interest modeling, traffic allocation, and dynamic refresh, and presents a step‑by‑step optimization pipeline that improves CTR and diversity.

AIDynamic Refreshinterest modeling
0 likes · 17 min read
Multi‑Business Recommendation System Architecture and Optimization at 58.com
Youku Technology
Youku Technology
Jul 29, 2020 · Artificial Intelligence

Core Technology of Video Content Understanding: Technical Practice of Partial Re-ID in Video Inspection

The talk explains how Alibaba’s Entertainment Content Operation Platform applies a Partial‑ReID algorithm to overcome the challenges of person re‑identification in heavily edited video content, enabling accurate cross‑shot character matching, richer appearance data, and metrics such as presence, interaction, and storyline for improved video quality assessment.

AIComputer VisionPartial Re-ID
0 likes · 2 min read
Core Technology of Video Content Understanding: Technical Practice of Partial Re-ID in Video Inspection
Efficient Ops
Efficient Ops
Jul 28, 2020 · Operations

How to Turn Ops Data into Business Value: A Practical Guide

This article explores the evolution and monetization of operations data, outlines a four‑stage management process—from data discovery to modeling, ingestion, and monetization—highlights key scenarios such as intelligent monitoring and root‑cause analysis, and offers practical recommendations for building an effective ops data platform.

AIData ManagementData Monetization
0 likes · 15 min read
How to Turn Ops Data into Business Value: A Practical Guide
58UXD
58UXD
Jul 28, 2020 · Product Management

How 58.com Built a Scalable Design System to Power Post‑Pandemic Services

This case study details how 58.com responded to the COVID‑19 pandemic by conducting market and user research, analyzing business opportunities, and creating a comprehensive design system—including brand, visual, illustration, and AI‑driven tools—to enhance service breadth, improve user experience, and drive growth across online and offline channels.

AIDigital TransformationProduct Design
0 likes · 16 min read
How 58.com Built a Scalable Design System to Power Post‑Pandemic Services
Zhongtong Tech
Zhongtong Tech
Jul 25, 2020 · Operations

How ZTO Express Leveraged Technology to Become China’s Logistics Leader

This presentation details ZTO Express’s rapid rise from a modest startup to the world’s largest courier by exploring its technology‑driven business model, crowd‑funded expansion, electronic waybills, smart routing, AI customer service, employee equity schemes, and future digital logistics strategies.

AIBusiness ModelLogistics
0 likes · 27 min read
How ZTO Express Leveraged Technology to Become China’s Logistics Leader
TAL Education Technology
TAL Education Technology
Jul 23, 2020 · Artificial Intelligence

Comprehensive Overview of Knowledge Graphs: Construction, Storage, and Applications in Recommendation Systems

This article provides a detailed introduction to knowledge graphs, covering their definition, why they are needed, the four basic triple types, construction pipelines (including data sources, crowdsourced vs automated methods, and schema versus data layers), storage and query techniques using graph and relational databases, and their practical applications such as enhancing precision, diversity, and explainability in recommendation systems through models like DKN, RippleNet, and graph neural networks.

AIGraph Databaseentity linking
0 likes · 15 min read
Comprehensive Overview of Knowledge Graphs: Construction, Storage, and Applications in Recommendation Systems
ITPUB
ITPUB
Jul 23, 2020 · Artificial Intelligence

How Likee Scales Short‑Video Recommendations with Flink, Auto‑Stats, and Cache Tensor

This article details Likee's short‑video recommendation pipeline, covering the evolution of its feature‑engineering framework, the use of Flink for minute‑level statistical and second‑level session features, the integration of automatic statistical features into DNN models, multimodal feature extraction, and the cache‑tensor technique that dramatically improves online inference performance.

AIDeep LearningFlink
0 likes · 18 min read
How Likee Scales Short‑Video Recommendations with Flink, Auto‑Stats, and Cache Tensor
Tencent Tech
Tencent Tech
Jul 23, 2020 · Artificial Intelligence

How Open‑Source AI Is Powering the Global Fight Against COVID‑19

Tencent joins the Linux Foundation Public Health initiative, open‑sourcing tools like the international COVID‑19 health module, an AI self‑triage assistant, and a severe‑case prediction model with Zhong Nanshan’s team, empowering developers, hospitals, and public‑health agencies worldwide to combat the pandemic.

AICOVID-19Tencent
0 likes · 6 min read
How Open‑Source AI Is Powering the Global Fight Against COVID‑19
58 Tech
58 Tech
Jul 22, 2020 · Artificial Intelligence

Intelligent Customer Service Competition: Leveraging AI for Text Matching and Classification

The announcement introduces an AI‑driven intelligent customer service competition, highlighting the importance of text matching and classification in NLP, describing 58.com’s existing system, providing a real‑world dataset, and inviting participants to develop precise models using the latest deep‑learning techniques.

AIDatasetNLP
0 likes · 4 min read
Intelligent Customer Service Competition: Leveraging AI for Text Matching and Classification
Aotu Lab
Aotu Lab
Jul 22, 2020 · Frontend Development

From Vue RFCs to Cloud Gaming: Cutting-Edge Tech Insights You Can’t Miss

This newsletter blends deep dives into Vue 3 RFC processes, cloud‑gaming opportunities, robust error‑code design, AI‑driven SQLFlow and Pipcook tools, plus handy regex and FIGlet utilities, offering developers practical knowledge across front‑end, back‑end, and emerging technologies.

AIError Codesfrontend
0 likes · 7 min read
From Vue RFCs to Cloud Gaming: Cutting-Edge Tech Insights You Can’t Miss