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HomeTech
HomeTech
Jun 23, 2022 · Artificial Intelligence

Overview of Home Intelligent Recommendation System: Architecture, Design, and Observability

This article presents a comprehensive overview of Home's intelligent recommendation system, detailing its business value, challenges of the previous siloed approach, the platform‑based architecture with standardized capabilities, micro‑service components, and the observability stack that together enable scalable, personalized content delivery for millions of users.

AIarchitecturedata standardization
0 likes · 11 min read
Overview of Home Intelligent Recommendation System: Architecture, Design, and Observability
DataFunSummit
DataFunSummit
Jun 17, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Meituan's Recommendation System

This talk explains how Meituan builds and leverages a massive lifestyle-domain knowledge graph to improve LBS recommendation, covering explicit and implicit graph applications, challenges such as explainability and data sparsity, and advanced models like dual‑memory networks and cross‑domain learning.

AIKnowledge GraphMeituan
0 likes · 15 min read
Applying Knowledge Graphs to Meituan's Recommendation System
DataFunTalk
DataFunTalk
Jun 17, 2022 · Artificial Intelligence

OPPO Knowledge Graph: Algorithms, Applications, and Future Directions

This article presents OPPO's large‑scale knowledge graph, detailing the algorithmic challenges and solutions for entity classification, alignment, information extraction, and query parsing, and explains how these techniques power the XiaoBu assistant's knowledge‑based QA, search, and recommendation services while outlining future research directions.

AIKnowledge GraphOPPO
0 likes · 18 min read
OPPO Knowledge Graph: Algorithms, Applications, and Future Directions
DataFunTalk
DataFunTalk
Jun 17, 2022 · Artificial Intelligence

Issues with Recommender System Benchmarks and Insights from the BARS Paper

This article examines the shortcomings of current recommender system benchmarks, explains why standardized datasets and metrics are essential, and highlights key findings from the recent BARS paper that propose a more open and reproducible benchmarking framework for recommendation research.

AIBARSBenchmarking
0 likes · 6 min read
Issues with Recommender System Benchmarks and Insights from the BARS Paper
Architects' Tech Alliance
Architects' Tech Alliance
Jun 16, 2022 · Fundamentals

FPGA Market Overview, Architecture, and Applications

The article outlines FPGA's strong performance and versatility, presents recent market growth figures and drivers, explains the basic architecture and firmware development process, and highlights key applications in automotive, communications, and computer‑vision systems, emphasizing its expanding role in AI and deep‑learning solutions.

AIApplicationsFPGA
0 likes · 8 min read
FPGA Market Overview, Architecture, and Applications
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Jun 16, 2022 · Artificial Intelligence

Collaborative Filtering Basics, Variants, and Tricks for Game Fashion Recommendation

An in‑depth overview of collaborative filtering, covering basic item‑based and user‑based methods, their limitations, advanced tricks such as IUF correction, popularity suppression, sliding‑window behavior sequencing, and a concrete implementation for game fashion recommendation, illustrating how to use CF as a baseline in early‑stage product development.

AIBaselinecollaborative filtering
0 likes · 9 min read
Collaborative Filtering Basics, Variants, and Tricks for Game Fashion Recommendation
Zuoyebang Tech Team
Zuoyebang Tech Team
Jun 16, 2022 · Cloud Native

What Makes Zuoyebang’s Cloud‑Native Search System a 2022 Conference Highlight?

The 2022 Cloud Native Industry Conference in Beijing, organized by the China Academy of Information and Communications Technology and the China Communications Standards Association, showcased 14 exemplary cloud‑native cases—including Zuoyebang’s search system—highlighting the rapid growth of China’s cloud‑native ecosystem, its technical innovations, and the release of a national cloud‑native security testing platform.

AIbig datacase study
0 likes · 4 min read
What Makes Zuoyebang’s Cloud‑Native Search System a 2022 Conference Highlight?
DataFunSummit
DataFunSummit
Jun 16, 2022 · Artificial Intelligence

Exploring Graph Computing for Credit Fraud Detection: Background, Applications, Risk Graph System, and Performance Optimization

This article presents a comprehensive overview of how graph computing, powered by AI and big‑data techniques, is applied to credit fraud detection, covering background, pre‑mid‑post fraud scenarios, the risk graph architecture, performance tuning methods, and a Q&A with Ant Group experts.

AIcredit fraud detectiongraph computing
0 likes · 14 min read
Exploring Graph Computing for Credit Fraud Detection: Background, Applications, Risk Graph System, and Performance Optimization
58 Tech
58 Tech
Jun 16, 2022 · Artificial Intelligence

Backend Architecture and Performance Optimization of an AI Interview Robot

This article details the backend architecture, dialogue engine design, resource estimation, and performance optimization techniques of an AI interview robot used in 58.com’s recruitment platform, illustrating how multi‑branch dialogue flows, RTP communication, session management, and monitoring enable scalable, stable, and efficient online interview services.

AIDialogue EngineInterview Robot
0 likes · 17 min read
Backend Architecture and Performance Optimization of an AI Interview Robot
AntTech
AntTech
Jun 14, 2022 · Big Data

Insights on Graph Computing: Technology, Applications, and Future Directions

Professor Chen Wenguang discusses how graph computing—originating from graph theory—offers a powerful way to model relationships across industries, its rapid development in China, challenges in scaling, integration with AI via graph neural networks, and the collaborative efforts needed between academia and industry to advance the field.

AIGraph Neural NetworksGraph Processing
0 likes · 17 min read
Insights on Graph Computing: Technology, Applications, and Future Directions
DataFunTalk
DataFunTalk
Jun 11, 2022 · Artificial Intelligence

Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances

This article reviews the emerging field of explainable recommendation, covering its motivation, historical evolution from template‑based to knowledge‑graph and generative‑language approaches, recent advances in graph‑structured and natural‑language explanations, key research works, industrial applications, and open challenges such as fact‑checking, low‑resource settings, and evaluation methods.

AIGraph ReasoningKnowledge Graph
0 likes · 16 min read
Explainable Recommendation: Background, Development, Graph‑Based Structured Explanations, and Natural Language Generation Advances
DataFunSummit
DataFunSummit
Jun 8, 2022 · Artificial Intelligence

Search Term Recommendation: Scenarios, Algorithm Design, and Future Directions

This article presents a comprehensive overview of search term recommendation in QQ Browser, covering various recommendation scenarios, challenges, query library architecture, multi‑task ranking models, coarse‑to‑fine ranking pipelines, auto‑completion strategies, and future research directions.

AIRecommendation Systemsmachine learning
0 likes · 14 min read
Search Term Recommendation: Scenarios, Algorithm Design, and Future Directions
DataFunSummit
DataFunSummit
Jun 6, 2022 · Artificial Intelligence

Event Graphs in Intelligent Customer Service: Concepts, Applications, and System Architecture

This article introduces event graphs as a knowledge‑centric representation of dynamic events, explains their construction and real‑time processing in Meituan's intelligent customer service, and demonstrates applications such as event timeline extraction, hotspot detection, event prediction, multi‑turn dialogue guidance, and business decision support.

AIEvent Schemaevent graph
0 likes · 16 min read
Event Graphs in Intelligent Customer Service: Concepts, Applications, and System Architecture
Architects' Tech Alliance
Architects' Tech Alliance
Jun 4, 2022 · Operations

Comprehensive Survey of Large‑Scale RDMA Technologies and Practices

This article provides a detailed overview of large‑scale RDMA technology, covering basic concepts, major protocols, network‑level techniques such as congestion control, lossless‑to‑lossy evolution and multipath, virtualization, communication libraries for AI training and storage, performance tuning, monitoring, and real‑world deployment experiences.

AIRDMAStorage
0 likes · 16 min read
Comprehensive Survey of Large‑Scale RDMA Technologies and Practices
DataFunTalk
DataFunTalk
Jun 3, 2022 · Artificial Intelligence

Construction and Application of Meituan's Life‑Service Knowledge Graph

This article explains Meituan's 'Meituan Brain' initiative, detailing the construction of life‑service knowledge graphs—including tag and dish graphs—through data mining, semantic extraction, synonym discovery, graph labeling, and applications such as open QA, search ranking, and recommendation using AI and GNN techniques.

AIGraph Neural NetworkKnowledge Graph
0 likes · 13 min read
Construction and Application of Meituan's Life‑Service Knowledge Graph
NetEase Smart Enterprise Tech+
NetEase Smart Enterprise Tech+
Jun 2, 2022 · Artificial Intelligence

How Knowledge Distillation Shrinks Deep Neural Networks Without Losing Accuracy

Knowledge Distillation, a teacher‑student model compression technique, enables large, high‑performing deep neural networks to transfer their learned representations to smaller models, achieving comparable accuracy with faster inference, reduced resource consumption, and broader applicability in computer‑vision tasks.

AIFitNetcomputer vision
0 likes · 14 min read
How Knowledge Distillation Shrinks Deep Neural Networks Without Losing Accuracy
Alimama Tech
Alimama Tech
Jun 1, 2022 · Artificial Intelligence

Advances in Alibaba's Advertising Engine: Serverless Architecture, Recall, Strategy, and Creative Technologies

Alibaba Mama’s advertising engine has been transformed into a serverless, cloud‑native platform that unifies runtime, data, and business abstractions, adopts vector‑ and model‑based recall with offline pre‑computed pipelines, implements multi‑stage AI‑driven bidding and auction mechanisms, and leverages large‑scale generative AI for creative assets, thereby accelerating feature rollout, cutting latency, and boosting merchant value.

AIServerlesscloud-native
0 likes · 18 min read
Advances in Alibaba's Advertising Engine: Serverless Architecture, Recall, Strategy, and Creative Technologies
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Jun 1, 2022 · Artificial Intelligence

How AI Beats Super Mario with PPO in 5 Minutes

This tutorial demonstrates how to use Huawei Cloud ModelArts and the Proximal Policy Optimization (PPO) reinforcement‑learning algorithm to train an AI agent that can clear most Super Mario levels within about 1500 episodes, even for users with no coding experience.

AIModelArtsPPO
0 likes · 6 min read
How AI Beats Super Mario with PPO in 5 Minutes
Youku Technology
Youku Technology
Jun 1, 2022 · Artificial Intelligence

AI-Powered Restoration of Classic Animation Videos Using Deep Learning

Youku’s Digital Media Lab built an AI‑powered restoration pipeline that uses multi‑frame super‑resolution, denoising, deblocking, deblurring and GAN‑based detail generation to automatically revive classic animated films, removing noise and artifacts while preserving fine lines, enabling high‑definition viewing for modern audiences.

AIAnimationDenoising
0 likes · 8 min read
AI-Powered Restoration of Classic Animation Videos Using Deep Learning
DataFunTalk
DataFunTalk
May 31, 2022 · Artificial Intelligence

Intelligent Creative Content Ecosystem for JD Advertising: Content Understanding, Generation, and Distribution

This talk presents JD's intelligent creative ecosystem for advertising, detailing the construction of a content understanding system, AI-driven content generation (including OCR, image tagging, video summarization, and copy generation), and multimodal creative selection and distribution, highlighting challenges, solutions, and business impact.

AIcontent understandinge-commerce
0 likes · 27 min read
Intelligent Creative Content Ecosystem for JD Advertising: Content Understanding, Generation, and Distribution
HelloTech
HelloTech
May 30, 2022 · Artificial Intelligence

Harbor's Passive Growth Algorithms and Growth Engine: Practices and Insights

Harbor’s growth engine combines a passive, attribution‑driven traffic‑allocation algorithm with componentized ranking, search, and marketing systems—using pairwise/Listwise models, multi‑task CTR/CVR prediction, and automated strategy triggers—to align short‑term efficiency with long‑term LTV goals while moving toward causal inference and domain‑expert‑driven general models.

AIAlgorithm EngineeringRecommendation Systems
0 likes · 11 min read
Harbor's Passive Growth Algorithms and Growth Engine: Practices and Insights
Java Backend Technology
Java Backend Technology
May 28, 2022 · Artificial Intelligence

5 Mind-Blowing Open-Source Projects That Let You Control Faces, Erase Spiders, and Hack Wi-Fi

This article showcases five cutting‑edge open‑source projects—from a ROS‑based system that lets a gamepad animate facial muscles, to AI‑driven video inpainting, text‑to‑image generation, eye‑gaze computer control, and a comprehensive Wi‑Fi cracking toolkit—each pushing the boundaries of modern tech.

AIcomputer visionnetwork security
0 likes · 6 min read
5 Mind-Blowing Open-Source Projects That Let You Control Faces, Erase Spiders, and Hack Wi-Fi
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
May 27, 2022 · Artificial Intelligence

Multimodal Model for Game Frame Rate Prediction

This article explains how a multimodal deep learning model combines static and temporal game data to predict frame rates, helping identify performance bottlenecks and improve client smoothness through feature fusion, data pipelines, and real‑time inference in modern games.

AIdeep learningfeature engineering
0 likes · 7 min read
Multimodal Model for Game Frame Rate Prediction
dbaplus Community
dbaplus Community
May 26, 2022 · Databases

How Meituan Built a Scalable Autonomous Database System to Slash MTTR

This article details Meituan's journey from rapid database growth and operational bottlenecks to a multi‑year roadmap that combines platform‑level monitoring, rule‑based and AI‑enhanced root‑cause analysis, and automated remediation, ultimately delivering measurable improvements in alert accuracy, recall rates, and overall database reliability.

AIautomationdatabase
0 likes · 19 min read
How Meituan Built a Scalable Autonomous Database System to Slash MTTR
DataFunSummit
DataFunSummit
May 26, 2022 · Artificial Intelligence

Exploring Contrastive Learning in Kuaishou Recommendation Systems

This article presents a comprehensive overview of how contrastive learning can alleviate data sparsity and distribution bias in recommendation systems, detailing its theoretical advantages, recent research progress in computer vision and NLP, and a multi‑task self‑supervised framework applied to Kuaishou's short‑video ranking pipeline with significant offline and online performance gains.

AIBias MitigationContrastive Learning
0 likes · 21 min read
Exploring Contrastive Learning in Kuaishou Recommendation Systems
Alimama Tech
Alimama Tech
May 25, 2022 · Artificial Intelligence

AI‑Driven Solutions for External Advertising Effectiveness at Alibaba Mama

Alibaba Mama boosts external-media advertising ROI by deploying AI-driven models—privacy-preserving federated learning, hierarchical representation integration, uncertainty-regularized knowledge distillation, and calibrated DNNs—to overcome missing user-preference data, sparse post-click conversions, sample-selection bias, and probability-calibration challenges.

AIOnline Advertisingconversion rate prediction
0 likes · 13 min read
AI‑Driven Solutions for External Advertising Effectiveness at Alibaba Mama
DataFunTalk
DataFunTalk
May 25, 2022 · Artificial Intelligence

Optimizing E-commerce Product Copy Generation: Challenges, Framework, and System Practices

This article presents a comprehensive overview of the challenges in e‑commerce product copy generation, introduces a unified framework comprising a copy generation system, a copy‑cleaning subsystem, and a quality evaluation module, and details practical optimization techniques applied to short and long copy scenarios.

AIdata cleaningmodel optimization
0 likes · 17 min read
Optimizing E-commerce Product Copy Generation: Challenges, Framework, and System Practices
Architects' Tech Alliance
Architects' Tech Alliance
May 23, 2022 · Industry Insights

GPU Wars in the Data Center: How Nvidia, AMD, and Intel Compete for AI and HPC Dominance

The article examines how GPUs have evolved from gaming accelerators to essential data‑center processors for AI, HPC, and scientific workloads, and compares the latest server‑grade offerings from Nvidia, AMD, and Intel—including performance specs, memory technologies, interconnects, and software ecosystems—highlighting the fierce competition shaping the future of compute.

AIAMDGPU
0 likes · 12 min read
GPU Wars in the Data Center: How Nvidia, AMD, and Intel Compete for AI and HPC Dominance
DataFunTalk
DataFunTalk
May 22, 2022 · Artificial Intelligence

Advances in Information‑Flow Recommendation: Pre‑trained Models and Multimodal User‑Interface Modeling

This article reviews Huawei Noah's Ark Lab's work on modern information‑flow recommendation, covering the evolution from collaborative filtering to deep learning, the application of BERT‑based pre‑training for news ranking, multimodal user‑interface modeling, practical deployment challenges, and future research directions.

AIBERTHuawei
0 likes · 19 min read
Advances in Information‑Flow Recommendation: Pre‑trained Models and Multimodal User‑Interface Modeling
DataFunTalk
DataFunTalk
May 20, 2022 · Artificial Intelligence

Hierarchical Graph Convolutional Networks for Video Social Relationship Modeling

This article presents a multimodal approach that combines dynamic analysis and graph machine learning to generate and apply social relationship graphs in videos, detailing problem background, graph generation modules, applications such as video retrieval, experimental results, and future research directions.

AIGraph Neural NetworkMultimodal
0 likes · 11 min read
Hierarchical Graph Convolutional Networks for Video Social Relationship Modeling
58UXD
58UXD
May 20, 2022 · Fundamentals

Why “Intuitive Design” Is a Myth and How Design Patterns Solve It

This article debunks the overused term “intuitive design,” explains what intuition really means, shows how familiarity—not unconscious reasoning—drives perceived intuitiveness, and demonstrates how applying proven design patterns and emerging AI technologies can create clearer, more efficient user experiences.

AIDesign PatternsIntuitive Design
0 likes · 9 min read
Why “Intuitive Design” Is a Myth and How Design Patterns Solve It
Tencent Cloud Developer
Tencent Cloud Developer
May 19, 2022 · Industry Insights

What Does the Future Hold for AI? Insights from Industry Leaders

In a TVP forum hosted by Li Kaifu and Shen Chunhua, experts trace AI’s 70‑year journey, discuss the origins of the book “AI Future in Progress,” analyze investment stages, AI‑cloud synergy, NLP breakthroughs, medical applications, societal impacts, data privacy, and the challenges facing traditional enterprises.

AIAI cloudHealthcare AI
0 likes · 23 min read
What Does the Future Hold for AI? Insights from Industry Leaders
Sohu Tech Products
Sohu Tech Products
May 18, 2022 · Artificial Intelligence

Design and Implementation of the Internal Intelligent QA Chatbot “Jarvis”

This article describes the motivation, micro‑service architecture, code implementation, V1.0 browser‑based NLP prototype, V2.0 AI‑enhanced version with BM25 and BERT, integration with ChatUI, DingTalk bot, command‑based automation, and future plans for the internal intelligent QA chatbot named Jarvis.

AINLPautomation
0 likes · 18 min read
Design and Implementation of the Internal Intelligent QA Chatbot “Jarvis”
DataFunTalk
DataFunTalk
May 16, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Meituan's Recommendation System: Architecture, Challenges, and Future Directions

This article presents Meituan's large‑scale knowledge graph, its integration into location‑based recommendation, the challenges of explainability, domain diversity, data sparsity and spatiotemporal complexity, and describes a dual‑memory neural network and cross‑domain learning approach that improve recall, ranking and recommendation fairness.

AIKnowledge Graphcross-domain learning
0 likes · 15 min read
Applying Knowledge Graphs to Meituan's Recommendation System: Architecture, Challenges, and Future Directions
DataFunTalk
DataFunTalk
May 14, 2022 · Artificial Intelligence

Call for Papers: 4th International Workshop on Deep Learning Practice for High‑Dimensional Sparse Data (DLP‑KDD 2022)

The 4th International Workshop on Deep Learning Practice for High‑Dimensional Sparse and Imbalanced Data (DLP‑KDD 2022) invites submissions on deep‑learning systems, data representation, and user modeling for large‑scale sparse data, with a deadline of May 26, 2022 and acceptance notifications by June 20, 2022.

AISparse DataWorkshop
0 likes · 5 min read
Call for Papers: 4th International Workshop on Deep Learning Practice for High‑Dimensional Sparse Data (DLP‑KDD 2022)
21CTO
21CTO
May 11, 2022 · Artificial Intelligence

How SAS Now Fully Supports Python for Data Science and AI

SAS announced native Python support in its analytics platform, offering code examples, cloud‑native AI capabilities, and seamless integration with SAS Studio and other SAS products to empower data scientists to develop and deploy Python models alongside SAS code.

AIAnalyticsData Science
0 likes · 5 min read
How SAS Now Fully Supports Python for Data Science and AI
DataFunSummit
DataFunSummit
May 5, 2022 · Artificial Intelligence

Advertising Targeting: Pain Points, Audience Insight System, Relationship Network Applications, and Modeling Strategies

The article examines the challenges advertisers face in a monopolized traffic environment, presents a three‑layer audience insight system, explores graph‑based relationship network methods, and discusses various modeling approaches—including single‑stage, cross‑stage, and multi‑task learning—along with practical considerations for data security and platform integration.

AIData Scienceaudience insight
0 likes · 11 min read
Advertising Targeting: Pain Points, Audience Insight System, Relationship Network Applications, and Modeling Strategies
DataFunTalk
DataFunTalk
May 2, 2022 · Artificial Intelligence

RNNLogic: Learning Logic Rules for Knowledge Graph Reasoning

This article reviews recent advances in knowledge graph reasoning, introduces the RNNLogic framework that jointly learns a rule‑generating LSTM and a stochastic logic programming predictor, and demonstrates its competitive performance and interpretability on benchmark datasets while outlining future neural‑symbolic directions.

AIKnowledge GraphRNNLogic
0 likes · 10 min read
RNNLogic: Learning Logic Rules for Knowledge Graph Reasoning
DataFunSummit
DataFunSummit
May 1, 2022 · Artificial Intelligence

Intelligent Risk Control Platform: Design Background, Full‑Cycle Strategy and Model Management, and Business Architecture

This article presents a comprehensive overview of an intelligent risk control middle‑platform, covering its design background, the five‑characteristics and "five‑all double‑core" concept, full‑cycle strategy and model lifecycle management, business architecture, and real‑world application cases, highlighting the integration of rule‑based and AI‑driven decision engines.

AIAutoMLdecision flow
0 likes · 13 min read
Intelligent Risk Control Platform: Design Background, Full‑Cycle Strategy and Model Management, and Business Architecture
Zuoyebang Tech Team
Zuoyebang Tech Team
Apr 29, 2022 · Artificial Intelligence

How AI-Powered Speech Evaluation Transforms Language Learning

This article explains the background, evaluation metrics, and technical framework of computer‑assisted language learning, detailing how modern AI‑driven speech assessment systems use HMM‑DNN models, GOP scoring, conformer architectures, streaming solutions, and edge‑cloud deployment to deliver accurate, low‑latency pronunciation feedback for learners.

AIDNNHMM
0 likes · 14 min read
How AI-Powered Speech Evaluation Transforms Language Learning
Laiye Technology Team
Laiye Technology Team
Apr 29, 2022 · Artificial Intelligence

Using Faiss for Efficient Vector Similarity Search: Installation, Index Construction, and Performance Optimization

This tutorial explains what Faiss is, how to install it, construct various indexes such as IndexFlatL2, IndexIVFFlat, and IndexIVFPQ, and demonstrates code examples for building and querying vector similarity search pipelines while discussing speed‑accuracy trade‑offs.

AIApproximate Nearest NeighborFAISS
0 likes · 11 min read
Using Faiss for Efficient Vector Similarity Search: Installation, Index Construction, and Performance Optimization
DataFunTalk
DataFunTalk
Apr 29, 2022 · Artificial Intelligence

Knowledge‑Enhanced Product Understanding with Meituan Brain: Building and Applying a Large‑Scale Product Knowledge Graph

This talk presents Meituan Brain's massive product knowledge graph, explains how knowledge‑enhanced models improve product title parsing, category association and sample governance, and demonstrates the resulting gains in search, recommendation and other downstream services while keeping the system online‑controllable and explainable.

AIKnowledge GraphMeituan
0 likes · 22 min read
Knowledge‑Enhanced Product Understanding with Meituan Brain: Building and Applying a Large‑Scale Product Knowledge Graph
Tencent Tech
Tencent Tech
Apr 29, 2022 · Artificial Intelligence

Tencent’s Hunyuan AI Model Tops CLUE Leaderboard with Record Score

Tencent’s Hunyuan AI large model shattered records by scoring 80.888 to claim first place on the CLUE benchmark, showcasing its advanced natural language processing, multimodal abilities, curriculum‑learning training approach, and real‑world deployments in WeChat Search and advertising.

AICLUEHunyuan
0 likes · 3 min read
Tencent’s Hunyuan AI Model Tops CLUE Leaderboard with Record Score
Efficient Ops
Efficient Ops
Apr 29, 2022 · Artificial Intelligence

China’s First AI Model Development Standard – Highlights from the AI Engineering Forum

The AI Engineering Online Forum, co‑hosted by China Academy of Information and Communications Technology, unveiled the industry’s first AI Model Development and Management (Model/MLOps) maturity standard, featured expert insights from finance, telecom, and tech leaders, and showcased practical MLOps implementations across banking, Huawei, and AI startups.

AIForumMLOps
0 likes · 6 min read
China’s First AI Model Development Standard – Highlights from the AI Engineering Forum
AntTech
AntTech
Apr 26, 2022 · Information Security

Privacy Computing: Insights from Ant Group’s Pioneering Researchers and Their Innovations

The article explores the rapid growth of privacy computing in China, highlighting new data protection laws, a surge in patents, real‑world applications such as medical data sharing, and personal stories of Ant Group engineers who develop cutting‑edge cryptographic frameworks and champion interdisciplinary research.

AIAnt GroupPrivacy Computing
0 likes · 13 min read
Privacy Computing: Insights from Ant Group’s Pioneering Researchers and Their Innovations
DataFunSummit
DataFunSummit
Apr 25, 2022 · Artificial Intelligence

Budget Pacing for Targeted Online Advertisements: Problem, Solution, and Pass‑Through Rate Mechanism

The article explains the drawbacks of the traditional generalized second‑price auction for online ads, proposes monitoring and probabilistically throttling fast‑spending campaigns using a time‑window based budget pacing model with a Pass‑Through Rate (PTR), and references the related research paper while also offering free resource links.

AIBudget PacingOnline Advertising
0 likes · 3 min read
Budget Pacing for Targeted Online Advertisements: Problem, Solution, and Pass‑Through Rate Mechanism
Tencent Tech
Tencent Tech
Apr 21, 2022 · Artificial Intelligence

How Tencent’s HunYuan Model Dominated All Major Video Retrieval Benchmarks

Tencent’s newly unveiled HunYuan AI model achieved a grand‑slam by ranking first on the five most authoritative cross‑modal video retrieval datasets, showcasing a hierarchical multimodal approach that dramatically boosts retrieval precision and promises broad impact for both research and industry applications.

AIMultimodalTencent
0 likes · 5 min read
How Tencent’s HunYuan Model Dominated All Major Video Retrieval Benchmarks
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Apr 19, 2022 · Cloud Native

How Volcano Is Shaping Cloud‑Native Batch Computing in CNCF

Volcano, the first cloud‑native batch computing project contributed by Huawei Cloud, has been promoted to a CNCF incubating project, signaling broad industry recognition and outlining a roadmap that includes cross‑cloud scheduling, GPU virtualization, fine‑grained resource management, and workflow orchestration for AI and big‑data workloads.

AIBatch ComputingKubernetes
0 likes · 8 min read
How Volcano Is Shaping Cloud‑Native Batch Computing in CNCF
DataFunTalk
DataFunTalk
Apr 19, 2022 · Artificial Intelligence

Intelligent Risk Control Platform: Design Principles, Strategy and Model Lifecycle Management, and Architecture

This article presents a comprehensive overview of an intelligent risk control platform, covering its design background, six core characteristics, the "five‑full double‑core" concept, end‑to‑end strategy and model lifecycle management, business architecture atomization, and real‑world anti‑fraud case studies.

AIdata engineeringfraud detection
0 likes · 13 min read
Intelligent Risk Control Platform: Design Principles, Strategy and Model Lifecycle Management, and Architecture
DataFunSummit
DataFunSummit
Apr 19, 2022 · Artificial Intelligence

DeepSpeed‑MoE: End‑to‑End Training and Inference Solutions for Mixture‑of‑Experts Models

This article reviews DeepSpeed‑MoE, an end‑to‑end system that introduces new MoE architectures, model‑compression techniques, and highly optimized inference pipelines, detailing its motivation, design of PR‑MoE (Pyramid‑MoE and Residual‑MoE), distributed parallel strategies, communication and kernel optimizations, and performance gains over dense baselines.

AIDeepSpeedInference Optimization
0 likes · 11 min read
DeepSpeed‑MoE: End‑to‑End Training and Inference Solutions for Mixture‑of‑Experts Models
DeWu Technology
DeWu Technology
Apr 18, 2022 · Artificial Intelligence

Warehouse Storage Location Recommendation: Architecture, Recall, and Ranking Strategies

The article outlines DeWu’s warehouse‑management recommendation system, which combines an online‑near‑line‑offline architecture to quickly recall viable shelf slots and rank them by space utilization, travel time, and sales potential, enabling automated, constraint‑aware placement that cuts picking time and inventory costs.

AIRecallbig data
0 likes · 16 min read
Warehouse Storage Location Recommendation: Architecture, Recall, and Ranking Strategies
JD Retail Technology
JD Retail Technology
Apr 18, 2022 · Industry Insights

How JD’s Intelligent Shopping Guide Project Redefines Modern Project Management

The article examines the evolution of project management standards, highlights China’s recent national guidelines, and presents JD.com’s intelligent shopping guide AI project as a case study illustrating how business‑driven value streams, advanced technologies and rigorous target‑benefit management can shape modern project management practices.

AIAgileJD.com
0 likes · 13 min read
How JD’s Intelligent Shopping Guide Project Redefines Modern Project Management
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Apr 18, 2022 · Artificial Intelligence

Supply‑Demand Coordination in E‑commerce: Challenges and Algorithmic Solutions

Effective e‑commerce supply‑demand coordination requires accurate SKU‑level forecasting, optimized replenishment under MOQ and lead‑time constraints, and dynamic post‑sale traffic control, using a blend of time‑series, tree‑based and deep learning models together with expert knowledge to minimize inventory costs and avoid stock‑outs.

AIOptimizationSupply Chain
0 likes · 10 min read
Supply‑Demand Coordination in E‑commerce: Challenges and Algorithmic Solutions
DataFunTalk
DataFunTalk
Apr 18, 2022 · Artificial Intelligence

Call for Resource Track Papers – 2022 China National Knowledge Graph and Semantic Computing Conference (CCKS 2022)

The 2022 CCKS conference invites submissions of open‑resource papers on knowledge graphs and semantic computing, offering details on submission deadlines, required paper length, evaluation criteria, example resources, chairs, important dates, and links to templates and the EasyChair submission portal.

AIKnowledge GraphOpen Resources
0 likes · 6 min read
Call for Resource Track Papers – 2022 China National Knowledge Graph and Semantic Computing Conference (CCKS 2022)
DataFunSummit
DataFunSummit
Apr 17, 2022 · Artificial Intelligence

Precise Marketing Algorithms and Practices at Hello Mobility

This article presents Hello Mobility’s precise marketing system, covering its business background, value, framework, algorithmic capabilities such as Pu‑Learning LookAlike modeling, TSA semi‑supervised learning, and Graph Embedding, as well as identified pain points, project impact, and future directions for scaling and automation.

AIgraph embeddinglookalike modeling
0 likes · 12 min read
Precise Marketing Algorithms and Practices at Hello Mobility
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Apr 15, 2022 · Artificial Intelligence

Practical AI‑Powered Voice Recognition for Game Dialogue Testing: A Step‑by‑Step Case Study

This article presents a detailed case study of using AI speech‑recognition techniques—including acoustic modeling with VGG, pypinyin conversion, feature extraction, and CTC decoding—to automatically verify game dialogue audio against script text, outlining the workflow, challenges, implementation details, and experimental results.

AICTC decodingPython
0 likes · 10 min read
Practical AI‑Powered Voice Recognition for Game Dialogue Testing: A Step‑by‑Step Case Study
IT Services Circle
IT Services Circle
Apr 13, 2022 · Artificial Intelligence

Introducing DualStyleGAN, RQ‑VAE Transformer, and VFD: Recent CVPR 2022 Open‑Source Algorithms

Jack Cui presents three recently open‑sourced CVPR 2022 algorithms—DualStyleGAN for high‑resolution portrait style transfer, RQ‑VAE Transformer for improved text‑to‑image generation, and VFD for deep‑fake detection—detailing their functionality, usage options, and providing links to code repositories and demo platforms.

AIGenerative Modelsdeepfake detection
0 likes · 5 min read
Introducing DualStyleGAN, RQ‑VAE Transformer, and VFD: Recent CVPR 2022 Open‑Source Algorithms
DataFunSummit
DataFunSummit
Apr 12, 2022 · Artificial Intelligence

Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction

This article presents the evolution of Alibaba's display advertising auction mechanisms, introducing the AIDA decision‑allocation framework, the Deep GSP multi‑objective smart auction, and the end‑to‑end Neural Auction, while discussing their economic theory, engineering platformization, business impact, and future research directions.

AIauctiondeep learning
0 likes · 18 min read
Intelligent Auction Mechanisms for Alibaba Display Advertising: AIDA Framework, Deep GSP, and Neural Auction
政采云技术
政采云技术
Apr 12, 2022 · Artificial Intelligence

Design and Implementation of the Internal Intelligent QA Chatbot “Jarvis”

This article describes the end‑to‑end design, architecture, code implementation, and deployment steps for an internal intelligent QA chatbot named “Jarvis”, covering its V1.0 browser‑based prototype, V2.0 AI‑enhanced version, DingTalk integration, automation features, and future roadmap.

AIBackendNLP
0 likes · 19 min read
Design and Implementation of the Internal Intelligent QA Chatbot “Jarvis”
Tencent Cloud Developer
Tencent Cloud Developer
Apr 11, 2022 · Artificial Intelligence

Recall Module in Recommendation Systems: Multi-Path Retrieval and Optimization

The recall module in recommendation systems retrieves thousands of items from massive pools using parallel non-personalized and personalized paths—such as hot-item, content-based, behavior-based, and deep-model recall—prioritizing coverage and low latency while addressing challenges like hard-negative sampling, selection bias, objective alignment, and channel competition to feed downstream ranking.

AIMulti‑Path RetrievalRecall
0 likes · 15 min read
Recall Module in Recommendation Systems: Multi-Path Retrieval and Optimization
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Apr 11, 2022 · Artificial Intelligence

Understanding AI: Definitions, Applications in Games and Products, and Basic Machine Learning Concepts

This article explains what artificial intelligence is, distinguishes weak and strong AI, explores its applications in games, product testing, and NetEase's Fuxi platform, and introduces fundamental machine‑learning concepts such as supervised, unsupervised, and reinforcement learning, as well as neural networks and loss functions.

AIgame AImachine learning
0 likes · 10 min read
Understanding AI: Definitions, Applications in Games and Products, and Basic Machine Learning Concepts
DataFunSummit
DataFunSummit
Apr 10, 2022 · Artificial Intelligence

Algorithmic Optimization of Information‑Flow Advertising for Hallo Mobility

This presentation details how Hallo Mobility tackles the challenges of information‑flow ad modeling by describing the ad ecosystem, the company’s business evolution, and the advertiser‑side algorithmic solutions—including plan‑level quality detection, creative‑level uplift modeling, feature‑cross engineering, and pre‑bid user screening—while outlining future directions for automated, data‑driven ad delivery.

AIInformation FlowUplift Modeling
0 likes · 18 min read
Algorithmic Optimization of Information‑Flow Advertising for Hallo Mobility
AntTech
AntTech
Apr 8, 2022 · Artificial Intelligence

Release of Financial Application Guidance for Multi‑Party Secure Computation and Federated Learning

On March 29, the Beijing FinTech Industry Alliance published two white‑papers—‘Multi‑Party Secure Computation Financial Application Status and Implementation Guide’ and ‘Federated Learning Technology Financial Application White Paper’—detailing policies, standards, case studies, and recommendations for deploying privacy‑preserving AI technologies in the financial sector.

AIFinancial TechnologyMPC
0 likes · 4 min read
Release of Financial Application Guidance for Multi‑Party Secure Computation and Federated Learning
DataFunTalk
DataFunTalk
Apr 6, 2022 · Artificial Intelligence

AIDA Advertising Intelligent Decision and Allocation Framework: Evolution of Smart Auction Mechanisms

This article introduces the AIDA framework for Alibaba's display advertising, detailing the business background, multi‑objective optimization challenges, the design of Deep GSP and Neural Auction mechanisms powered by deep learning and reinforcement learning, and outlines future technical and platform directions while also announcing recruitment opportunities.

AIAdvertisingauction theory
0 likes · 16 min read
AIDA Advertising Intelligent Decision and Allocation Framework: Evolution of Smart Auction Mechanisms
DataFunTalk
DataFunTalk
Apr 5, 2022 · Artificial Intelligence

Applying AI Technologies in the Youdao Dictionary Pen: Scanning, Offline Translation, and Edge ML Library

This article presents a technical overview of the Youdao Dictionary Pen, describing its hardware design, real‑time scanning and point‑query image processing, on‑device offline translation with model compression techniques, and the high‑performance Edge ML Library (EMLL) that enables efficient AI inference on constrained edge hardware.

AIEdge ML LibraryOCR
0 likes · 18 min read
Applying AI Technologies in the Youdao Dictionary Pen: Scanning, Offline Translation, and Edge ML Library
DataFunSummit
DataFunSummit
Apr 2, 2022 · Artificial Intelligence

Graph-Based I2I Recall for Short Video Recommendation at Kuaishou

This article presents Kuaishou's graph‑based item‑to‑item (I2I) recall pipeline for short‑video recommendation, detailing the business challenges, pipeline architecture, optimization techniques such as similarity‑measure tricks, graph structure learning, edge‑weight learning, and future research directions.

AIEmbeddingGraph Neural Network
0 likes · 16 min read
Graph-Based I2I Recall for Short Video Recommendation at Kuaishou
Tencent Cloud Developer
Tencent Cloud Developer
Mar 31, 2022 · Cloud Computing

Understanding Cloud Computing, Service Models, and Edge Computing Solutions

Cloud computing delivers on‑demand, pay‑as‑you‑go resources through IaaS, PaaS, and SaaS layers, while edge computing extends these services toward devices to meet latency, bandwidth, and privacy demands, using lightweight K3s‑based clusters that address management, connectivity, and resource constraints for applications such as autonomous driving.

5GAIautonomous driving
0 likes · 16 min read
Understanding Cloud Computing, Service Models, and Edge Computing Solutions
DaTaobao Tech
DaTaobao Tech
Mar 31, 2022 · Artificial Intelligence

Intelligent Copy Generation for Taobao Push: Design, Implementation, and Evaluation

The 2021 Taobao Push project introduced an AI‑driven copy‑generation platform that combines template extraction and fine‑tuned Unilm models with diverse beam search, creating diverse, high‑quality push messages, cutting manual costs, and delivering a 10 % click‑through lift and higher material adoption.

AICopy GenerationNLP
0 likes · 18 min read
Intelligent Copy Generation for Taobao Push: Design, Implementation, and Evaluation
DataFunSummit
DataFunSummit
Mar 30, 2022 · Artificial Intelligence

Travel Intent Prediction in E-commerce: Algorithm Strategies, Multi-Source Behavior Modeling, and Experimental Results

This article presents a comprehensive overview of travel intent prediction at Alibaba's Fliggy platform, detailing the unique challenges of low‑frequency travel behavior, multi‑source user actions, a multi‑CNN and time‑attention model design, and experimental evaluations that demonstrate improved recommendation performance.

AImulti-CNNmulti-source behavior
0 likes · 10 min read
Travel Intent Prediction in E-commerce: Algorithm Strategies, Multi-Source Behavior Modeling, and Experimental Results
AntTech
AntTech
Mar 30, 2022 · Information Security

Embracing Trusted Privacy Computing in the Era of Industrial Data Confidentiality

The article examines how the rapid growth of industrial internet data demands robust privacy‑preserving technologies, outlines the regulatory backdrop, describes the technical challenges of achieving high performance, stability, low cost, flexibility and strong security, and proposes trusted privacy computing as a comprehensive solution for the emerging data‑confidentiality era.

AIIndustrial InternetPrivacy Computing
0 likes · 15 min read
Embracing Trusted Privacy Computing in the Era of Industrial Data Confidentiality
DataFunSummit
DataFunSummit
Mar 29, 2022 · Databases

AI-Driven Unstructured Data Analysis and Retrieval with Milvus and Towhee

This article explains how the Milvus vector database and the Towhee embedding framework together enable large‑scale, high‑throughput semantic analysis and retrieval of unstructured data such as images, video, and audio by leveraging AI‑powered vectorization and search pipelines.

AIMilvusTowhee
0 likes · 13 min read
AI-Driven Unstructured Data Analysis and Retrieval with Milvus and Towhee
Architects' Tech Alliance
Architects' Tech Alliance
Mar 28, 2022 · Artificial Intelligence

Digital Twin: Ten Fundamental Questions and Insights for Researchers, Decision‑Makers, and Practitioners

This article analyzes ten fundamental questions about digital twins, covering definitions, stakeholders, global interest, relationship with smart manufacturing, integration with New IT, scientific challenges, standards, and commercial tools, aiming to guide researchers, policymakers, and practitioners in understanding and applying digital twin technology.

AIbig datadigital twin
0 likes · 22 min read
Digital Twin: Ten Fundamental Questions and Insights for Researchers, Decision‑Makers, and Practitioners
DaTaobao Tech
DaTaobao Tech
Mar 25, 2022 · Artificial Intelligence

Digital Human Technology: Design, Production, and Future Directions

The article surveys digital‑human technology—covering visual form, motion and AI‑driven intelligence—its fast‑growing market, a three‑layer solution stack (hardware/software base, AI platform, application services), end‑to‑end avatar creation workflow, rendering and animation techniques, web‑deployment challenges, and future prospects such as deeper AI, XR/6G and metaverse integration.

3D renderingAIAnimation
0 likes · 20 min read
Digital Human Technology: Design, Production, and Future Directions
21CTO
21CTO
Mar 24, 2022 · Fundamentals

Discover 5 Quirky New Programming Languages Shaking Up Development

This article introduces five emerging programming languages—Bhai-lang, Peregrine, Flix, Skip, and PolyCoder—detailing their origins, unique syntax rules, core features, and where to find their source code or playgrounds for developers seeking fresh, experimental tools.

AILanguage Designnew languages
0 likes · 9 min read
Discover 5 Quirky New Programming Languages Shaking Up Development
IT Services Circle
IT Services Circle
Mar 24, 2022 · Artificial Intelligence

NVIDIA Unveils H100 GPU with Hopper Architecture: Massive Performance Gains for AI

At the recent GTC event, NVIDIA introduced the H100 GPU built on the Hopper architecture using TSMC 4nm process, featuring 800 billion transistors, 16,896 CUDA cores, up to 700 W power, 3 TB/s memory bandwidth, and a specialized Transformer engine that accelerates large‑model training up to six times faster, alongside the Grace CPU Superchip and new AI supercomputing systems.

AIGPUGrace CPU
0 likes · 11 min read
NVIDIA Unveils H100 GPU with Hopper Architecture: Massive Performance Gains for AI
Alimama Tech
Alimama Tech
Mar 23, 2022 · Artificial Intelligence

Advancements in Keyword Recall for Search Advertising: From Binary Retrieval to Hierarchical Bidding Graph

The paper reports a year‑long evolution of Alibaba’s search‑advertising keyword recall, replacing the traditional two‑stage rewrite‑and‑score pipeline with a low‑storage binary retrieval model and then a joint recall framework built on a hierarchical bidding graph, delivering near‑full‑precision recall, 16× memory savings, and quota‑free global ranking.

AILarge-Scale Retrievalbinary retrieval
0 likes · 22 min read
Advancements in Keyword Recall for Search Advertising: From Binary Retrieval to Hierarchical Bidding Graph
Kuaishou Tech
Kuaishou Tech
Mar 23, 2022 · Artificial Intelligence

Graph-Based I2I Recall for Short Video Recommendation at Kuaishou

This article explains how Kuaishou leverages graph neural networks for item‑to‑item (I2I) recall in short‑video recommendation, detailing the system background, pipeline architecture, optimization techniques such as similarity measurement, graph structure learning, edge‑weight learning, and future research directions.

AIEmbeddingGraph Neural Networks
0 likes · 17 min read
Graph-Based I2I Recall for Short Video Recommendation at Kuaishou
JD Cloud Developers
JD Cloud Developers
Mar 21, 2022 · Artificial Intelligence

How JD’s AI Generates Multimodal Product Summaries to Boost E‑Commerce

The article explains how rapid internet growth created information overload, leading to concise summary services, and how recent AI advances—especially large language models like GPT‑3—enable platforms such as JD.com to automatically generate high‑quality, multimodal product copy that drives sales and supports diverse creative tasks.

AINLPe‑commerce
0 likes · 4 min read
How JD’s AI Generates Multimodal Product Summaries to Boost E‑Commerce
Tencent Tech
Tencent Tech
Mar 21, 2022 · R&D Management

Inside Tencent’s 2021 R&D Report: Coding Trends, AI Advances & Innovation

Tencent’s 2021 R&D Report details a 41% rise in engineering staff, 32 billion new code lines, Go becoming the top language, massive growth in open‑source contributions, breakthroughs in cloud OS, databases, AI, and a commitment to carbon‑neutral technology‑driven social impact.

AIR&Dbig data
0 likes · 8 min read
Inside Tencent’s 2021 R&D Report: Coding Trends, AI Advances & Innovation
DataFunTalk
DataFunTalk
Mar 20, 2022 · Artificial Intelligence

Detecting Invalid Queries in Voice Interaction: Non‑Human Interaction and Ambiguous Intent Recognition

This talk presents a comprehensive study of invalid query detection in voice assistants, covering the definition and taxonomy of invalid queries, challenges of non‑human interaction and ambiguous intent recognition, data collection and labeling strategies, feature engineering, deep neural network modeling, experimental results, user‑feedback loops, and current performance limits.

AIdialogue systeminvalid query
0 likes · 17 min read
Detecting Invalid Queries in Voice Interaction: Non‑Human Interaction and Ambiguous Intent Recognition