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58 Tech
58 Tech
Dec 22, 2022 · Artificial Intelligence

Implementing a Cloud-Native Istio Gateway for 58.com Deep Learning Inference Platform

This article details the evolution of 58.com’s deep learning inference platform, describing the transition from the original SCF‑based architecture to a cloud‑native Istio gateway (architecture 2.0), and explains design choices, traffic‑management, adaptive rate‑limiting, observability, model pre‑warming, and performance improvements.

AIDeep LearningInference Platform
0 likes · 22 min read
Implementing a Cloud-Native Istio Gateway for 58.com Deep Learning Inference Platform
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Dec 22, 2022 · Artificial Intelligence

How DeepRec Supercharges Weibo’s Hot Recommendation Engine

This article explains the architecture of Weibo's popular recommendation system, the role of the weidl online learning platform, and how DeepRec’s performance optimizations—such as oneDNN operator acceleration, cost‑aware scheduling, and adaptive memory allocation—significantly improve training speed, inference latency, and overall service throughput.

AIDeepRecWeibo
0 likes · 15 min read
How DeepRec Supercharges Weibo’s Hot Recommendation Engine
Xianyu Technology
Xianyu Technology
Dec 21, 2022 · Artificial Intelligence

Xianyu Recommendation System: Architecture, Challenges, and Deployment

The Xianyu recommendation system, built by backend expert Wan Xiaoyong, evolved from offline scoring to a full‑graph, serverless recall‑ranking pipeline that tackles C2C uncertainties through centralized feature engineering, model compression, staged deployment, flexible experimentation, robust governance, and plans for automated attribution and interpretability.

AIBig DataModel deployment
0 likes · 10 min read
Xianyu Recommendation System: Architecture, Challenges, and Deployment
NetEase Smart Enterprise Tech+
NetEase Smart Enterprise Tech+
Dec 20, 2022 · Artificial Intelligence

How AI Powers SaaS Service Marketing: Real-World Strategies and Future Trends

At QCon 2022, AI expert Feng Minwei shared practical insights on overcoming AI adoption challenges in SaaS service marketing, detailing cost‑reduction, industry expansion, and overseas deployment strategies, while showcasing real‑world cases of intelligent call‑center automation, knowledge‑base enrichment, and the impact of large‑model and generative AI.

AILarge ModelsSaaS
0 likes · 19 min read
How AI Powers SaaS Service Marketing: Real-World Strategies and Future Trends
AntTech
AntTech
Dec 19, 2022 · Artificial Intelligence

TransVCL: Attention‑Enhanced Video Copy Localization Network with Flexible Supervision

TransVCL introduces an end‑to‑end attention‑enhanced video copy localization network that leverages a custom Transformer, correlation‑Softmax similarity matrix, and temporal alignment module, combined with a semi‑supervised learning framework, achieving state‑of‑the‑art performance on VCSL and VCDB benchmarks.

AITransformerattention
0 likes · 13 min read
TransVCL: Attention‑Enhanced Video Copy Localization Network with Flexible Supervision
Alibaba Cloud Developer
Alibaba Cloud Developer
Dec 19, 2022 · Artificial Intelligence

How AI Transforms Football Video Analysis: Detection, Tracking, and Event Recognition

This article explores how artificial intelligence techniques such as deep learning, object detection, multi‑object tracking, and coordinate projection are applied to football video analysis to automatically detect the ball and players, map their positions onto the field, and recognize key events like shots and goals.

AIcomputer visionobject detection
0 likes · 16 min read
How AI Transforms Football Video Analysis: Detection, Tracking, and Event Recognition
HomeTech
HomeTech
Dec 16, 2022 · Artificial Intelligence

Building and Optimizing a Milvus‑Based Vector Search Platform

This article describes the background, technical selection, architecture, deployment, performance tuning, and operational practices of a Milvus‑driven vector retrieval platform, including cloud‑native deployment, index choices, capacity planning, and real‑world application cases that improve recall latency and resource efficiency.

AIMilvusperformance optimization
0 likes · 12 min read
Building and Optimizing a Milvus‑Based Vector Search Platform
21CTO
21CTO
Dec 15, 2022 · Artificial Intelligence

Sam Altman & Reid Hoffman on AI’s Future: Business, Multimodal Models, Society

In a candid conversation, Sam Altman and Reid Hoffman explore the next stage of AI, discussing commercial opportunities of large language models, the rise of AI‑plus applications in science and the metaverse, future directions such as multimodal and continuously learning models, and the societal challenges of AGI, wealth distribution and universal basic income.

AGIAIAI commercialization
0 likes · 16 min read
Sam Altman & Reid Hoffman on AI’s Future: Business, Multimodal Models, Society
Architects' Tech Alliance
Architects' Tech Alliance
Dec 15, 2022 · Fundamentals

ARM Instruction‑Set‑Compatible Architecture in High‑Performance Computing: Development, Ecosystem, and Future Trends

The article reviews the rapid rise of ARM‑compatible CPUs in high‑performance computing, detailing national strategies, TOP500 deployments, commercial HPC offerings, major vendors, architectural evolutions such as ARMv9 and SVE2, and future trends toward higher single‑core performance, enhanced vectorization, memory bandwidth, security, and broader ecosystem adoption.

AIARM architectureSupercomputers
0 likes · 16 min read
ARM Instruction‑Set‑Compatible Architecture in High‑Performance Computing: Development, Ecosystem, and Future Trends
Architecture Digest
Architecture Digest
Dec 15, 2022 · Artificial Intelligence

Technical Overview of ChatGPT: Training Pipeline, RLHF, and Its Potential to Replace Search Engines

This article explains ChatGPT's underlying technology—including its three‑stage training pipeline with supervised fine‑tuning, reward‑model learning, and reinforcement learning from human feedback—while analyzing whether the model can realistically replace traditional search engines such as Google or Baidu.

AIChatGPTRLHF
0 likes · 15 min read
Technical Overview of ChatGPT: Training Pipeline, RLHF, and Its Potential to Replace Search Engines
IT Architects Alliance
IT Architects Alliance
Dec 13, 2022 · Artificial Intelligence

Technical Principles and Training Process of ChatGPT

The article explains ChatGPT’s underlying technology, detailing its three-stage training pipeline—supervised fine‑tuning, reward‑model learning, and reinforcement learning with PPO—while discussing its strengths, limitations, and potential integration with traditional search engines.

AIChatGPTLLM
0 likes · 14 min read
Technical Principles and Training Process of ChatGPT
JD Retail Technology
JD Retail Technology
Dec 12, 2022 · Artificial Intelligence

Keynote Presentations from the 2022 Global AI Technology Conference – First Industrial Vision Frontier Forum

The 2022 Global AI Technology Conference’s First Industrial Vision Frontier Forum in Hangzhou gathered leading experts to discuss advances in industrial AI visual defect detection, multimodal pre‑training models, smart meteorology, digital intelligence in retail, third‑generation compound semiconductor detection, meta‑imaging, and broader industrial AI applications, highlighting the future of intelligent manufacturing.

AIIndustrial VisionMachine Learning
0 likes · 12 min read
Keynote Presentations from the 2022 Global AI Technology Conference – First Industrial Vision Frontier Forum
21CTO
21CTO
Dec 11, 2022 · Artificial Intelligence

Which Programming Languages Power AI? A Deep Dive into the Best Choices

Choosing the right programming language is crucial for AI development, and this article examines popular options—Python, Julia, R, and Java—highlighting their strengths, libraries, and suitability, while also pointing out outdated languages like COBOL, FORTRAN, and Pascal that offer little value for modern AI projects.

AIJavaJulia
0 likes · 7 min read
Which Programming Languages Power AI? A Deep Dive into the Best Choices
Architects' Tech Alliance
Architects' Tech Alliance
Dec 10, 2022 · Fundamentals

Comprehensive Overview of System-on-Chip (SoC) Architecture, History, and Market Trends

This article provides a detailed introduction to System-on-Chip (SoC) technology, covering its definition, component hierarchy, IP‑core concepts, historical milestones, typical architectures, instruction‑set families, AI‑enabled variants, and current market dynamics across mobile, server, and high‑performance computing domains.

AIHardwareRISC-V
0 likes · 10 min read
Comprehensive Overview of System-on-Chip (SoC) Architecture, History, and Market Trends
HomeTech
HomeTech
Dec 9, 2022 · Artificial Intelligence

Interview with Li Benyang: AI, Knowledge Graphs, and Career Insights in Intelligent Recommendation

In this interview, Li Benyang, head of the intelligent recommendation content understanding team at Autohome, shares his AI background, the evolution of recommendation systems, knowledge‑graph construction for automotive content, career choices between big firms and startups, and practical advice for technologists navigating fast‑changing industries.

AIKnowledge GraphRecommendation Systems
0 likes · 12 min read
Interview with Li Benyang: AI, Knowledge Graphs, and Career Insights in Intelligent Recommendation
Architect's Guide
Architect's Guide
Dec 9, 2022 · Artificial Intelligence

Technical Principles and Training Process of ChatGPT

The article explains how ChatGPT builds on the GPT‑3.5 large language model, using human‑annotated data and Reinforcement Learning from Human Feedback (RLHF) across three training stages to improve instruction understanding, answer quality, and continual model enhancement, while also discussing its potential to complement or replace traditional search engines.

AIChatGPTInstruction Tuning
0 likes · 15 min read
Technical Principles and Training Process of ChatGPT
IT Architects Alliance
IT Architects Alliance
Dec 8, 2022 · Artificial Intelligence

Technical Principles and Training Process of ChatGPT

This article explains the technical foundations of ChatGPT, detailing its three-stage training pipeline—supervised fine‑tuning with human‑annotated data, reward model training via pairwise ranking, and reinforcement learning from human feedback—while also discussing its limitations compared to traditional search engines and potential future enhancements.

AIChatGPTRLHF
0 likes · 14 min read
Technical Principles and Training Process of ChatGPT
NetEase Smart Enterprise Tech+
NetEase Smart Enterprise Tech+
Dec 8, 2022 · Artificial Intelligence

How NetEase Optimizes AI for Digital Content Risk Control and Cost Efficiency

At QCon 2022, NetEase’s AI experts detailed their end‑to‑end approach for digital content risk control, covering data acquisition, semi‑supervised training, dynamic inference, cost‑effective deployment, and future directions, highlighting how AI can boost efficiency while managing escalating operational expenses.

AIcontent moderationcost optimization
0 likes · 26 min read
How NetEase Optimizes AI for Digital Content Risk Control and Cost Efficiency
DataFunTalk
DataFunTalk
Dec 7, 2022 · Artificial Intelligence

Entire Space Delayed Feedback with Cross‑Task Knowledge Distillation (ESDC) for Multi‑Task E‑commerce Recommendation

This article presents Xiaomi’s e‑commerce recommendation research, addressing four key challenges—sample selection bias, data sparsity, delayed feedback, and knowledge inconsistency—by introducing the Entire Space Delayed Feedback with Cross‑Task Knowledge Distillation (ESDC) model, which combines causal inference, cross‑task distillation, twin networks, and uncertainty weighting to improve CVR prediction and achieve a 15% GMV lift over the baseline.

AICVRDelayed Feedback
0 likes · 11 min read
Entire Space Delayed Feedback with Cross‑Task Knowledge Distillation (ESDC) for Multi‑Task E‑commerce Recommendation
Top Architect
Top Architect
Dec 7, 2022 · Artificial Intelligence

Technical Principles of ChatGPT and Its Prospects for Replacing Traditional Search Engines

The article explains how ChatGPT builds on GPT‑3.5 with supervised fine‑tuning, reward‑model training and reinforcement learning from human feedback, analyzes why it cannot yet replace search engines due to hallucinations, knowledge freshness and cost, and proposes a hybrid architecture that combines LLM generation with traditional retrieval to overcome these limitations.

AIChatGPTRLHF
0 likes · 16 min read
Technical Principles of ChatGPT and Its Prospects for Replacing Traditional Search Engines
21CTO
21CTO
Dec 4, 2022 · Cloud Computing

How Cloud Tech Will Transform Sports, Simulations, Energy, and Supply Chains in 2023

Amazon's 2023 technology forecast outlines how cloud-powered AI, computer vision, simulation and custom silicon will reshape sports analytics, immersive simulations, smart energy systems, supply‑chain logistics and specialized hardware, offering developers and tech enthusiasts a roadmap for the coming innovations.

2023 trendsAICloud Computing
0 likes · 15 min read
How Cloud Tech Will Transform Sports, Simulations, Energy, and Supply Chains in 2023
DataFunTalk
DataFunTalk
Dec 4, 2022 · Artificial Intelligence

Kuaishou Virtual World Interaction Platform (KMIP): Technical Overview, Architecture, and Application Cases

This article presents a comprehensive technical overview of Kuaishou's Virtual World Interaction Platform (KMIP), detailing its background, platform and software solutions—including KVS and KFC—its layered architecture, key features, real‑world case studies, and future outlook for immersive virtual interactions.

AIKuaishouVirtual World
0 likes · 12 min read
Kuaishou Virtual World Interaction Platform (KMIP): Technical Overview, Architecture, and Application Cases
DataFunTalk
DataFunTalk
Nov 30, 2022 · Artificial Intelligence

Graph Neural Networks: Theory and Applications in Risk Control

This article introduces a free ebook on graph neural networks, outlines its theoretical foundations, algorithmic techniques for large‑scale computation, expressive power analysis, and multiple fraud‑detection and real‑time risk‑control applications across finance and e‑commerce.

AIfraud detection
0 likes · 6 min read
Graph Neural Networks: Theory and Applications in Risk Control
Architects' Tech Alliance
Architects' Tech Alliance
Nov 29, 2022 · Artificial Intelligence

In‑Depth Overview of NVIDIA Grace Hopper Superchip Architecture

The article provides a comprehensive technical overview of NVIDIA's Grace Hopper Superchip, detailing its heterogeneous CPU‑GPU design, high‑bandwidth NVLink‑C2C interconnect, performance advantages for HPC and AI workloads, programming model, and the architectural innovations that enable unprecedented scalability and productivity.

AICPUGPU
0 likes · 15 min read
In‑Depth Overview of NVIDIA Grace Hopper Superchip Architecture
Xingsheng Youxuan Technology Community
Xingsheng Youxuan Technology Community
Nov 29, 2022 · Frontend Development

How Low‑Code and AI Are Redefining Frontend Development – Inside Marvel’s Engine

This article reviews a QCon 2022 talk on low‑code and intelligent UI, outlining the evolution of low‑code concepts, decision‑making for platform adoption, the architecture of the Marvel low‑code engine (Dlibrary, DPro, visual system, canvas, drag, render, material integration), and AI‑driven smart inspection techniques, concluding with practical insights for teams facing similar challenges.

AISmart Inspectionfrontend
0 likes · 22 min read
How Low‑Code and AI Are Redefining Frontend Development – Inside Marvel’s Engine
DataFunSummit
DataFunSummit
Nov 28, 2022 · Artificial Intelligence

Introduction to Federated Learning: Concepts, Key Technologies, and the Dianshi Federated Learning Platform

This article introduces the concept of federated learning, outlines its industry opportunities and challenges, explains the evolution of data‑sharing technologies, details core techniques such as MPC, TEE, and differential privacy, and presents the architecture and capabilities of the Dianshi federated learning platform.

AIDifferential PrivacyMPC
0 likes · 20 min read
Introduction to Federated Learning: Concepts, Key Technologies, and the Dianshi Federated Learning Platform
Architects' Tech Alliance
Architects' Tech Alliance
Nov 27, 2022 · Fundamentals

Trends and Future Directions of Server CPUs in the Post‑Moore Era

The article analyzes post‑Moore challenges for server CPUs, discusses the shift from general‑purpose to specialized processors, highlights architectural innovations, chiplet integration, edge‑computing demands, and the evolving strategies of major vendors to improve performance, power efficiency, and scalability.

AICPUPost-Moore
0 likes · 17 min read
Trends and Future Directions of Server CPUs in the Post‑Moore Era
DataFunTalk
DataFunTalk
Nov 26, 2022 · Artificial Intelligence

Human‑Centric Design for AI/NLP Document Extraction and Knowledge‑Graph Deployment

The article explains how combining human expertise with AI techniques—through problem decomposition, model selection, feature engineering, and knowledge‑graph construction—enables practical NLP solutions for document extraction and intelligent Q&A, illustrating the process with contract‑field extraction case studies.

AIDocument ExtractionKnowledge Graph
0 likes · 14 min read
Human‑Centric Design for AI/NLP Document Extraction and Knowledge‑Graph Deployment
JD Tech Talk
JD Tech Talk
Nov 24, 2022 · Artificial Intelligence

Design and Implementation of an Online Inference Service for Risk‑Control Algorithms

This article describes the architecture, key features, dynamic deployment, performance optimizations, and real‑world results of a high‑throughput online inference platform that serves deep‑learning models for JD.com’s risk‑control decision engine, achieving near‑hundred‑fold latency improvements.

AImicroservicesmodel serving
0 likes · 11 min read
Design and Implementation of an Online Inference Service for Risk‑Control Algorithms
DataFunTalk
DataFunTalk
Nov 23, 2022 · Artificial Intelligence

Lightweight Adaptation Techniques for Multimodal Large Models

This article presents a comprehensive overview of lightweight adaptation methods—including language, domain, and optimization‑goal adapters and structured prompts—to overcome language mismatch, low domain fit, and objective differences when deploying open‑source multimodal large models in real‑world AI applications.

AIDomain AdaptationModel Adaptation
0 likes · 14 min read
Lightweight Adaptation Techniques for Multimodal Large Models
Laiye Technology Team
Laiye Technology Team
Nov 23, 2022 · Artificial Intelligence

Design and Practices of a Data‑Driven OCR Testing System

The article describes Laiye's shift to a data‑driven deep‑learning workflow and presents the design, macro‑ and micro‑analysis features, visual diff tools, distributed tracing, and code examples of their OCR testing system that accelerate model evaluation and iterative optimization.

AIData‑DrivenMLOps
0 likes · 11 min read
Design and Practices of a Data‑Driven OCR Testing System
NetEase LeiHuo UX Big Data Technology
NetEase LeiHuo UX Big Data Technology
Nov 22, 2022 · Artificial Intelligence

Sample Weighting in Machine Learning: From YouTube Playback Duration to Game Recommendation Optimization

This article explains why and how sample weighting is used in machine learning, illustrates YouTube's conversion of video watch time into sample weights to align with its commercial goals, and describes practical weighted‑logistic‑regression techniques applied to improve game recommendation systems.

AIRecommendation SystemsYouTube
0 likes · 8 min read
Sample Weighting in Machine Learning: From YouTube Playback Duration to Game Recommendation Optimization
IEG Growth Platform Technology Team
IEG Growth Platform Technology Team
Nov 22, 2022 · Artificial Intelligence

Advances in Customer Lifetime Value Prediction for Online Advertising: Missing-aware Routing Fusion Network and Cross-domain Adaptive Learning

Two Tencent IEG Growth Platform papers accepted at WSDM 2023 and AAAI 2023 introduce a feature‑missing‑aware routing‑fusion network (MarfNet) and a cross‑domain adaptive framework (CDAF) that significantly improve online advertising LTV prediction despite sparse features and labels.

AICross‑domain AdaptationLTV prediction
0 likes · 4 min read
Advances in Customer Lifetime Value Prediction for Online Advertising: Missing-aware Routing Fusion Network and Cross-domain Adaptive Learning
Meituan Technology Team
Meituan Technology Team
Nov 17, 2022 · Artificial Intelligence

Tsinghua University-Meituan Digital Life Joint Research Institute Academic Salon

The Tsinghua‑Meituan Digital Life Joint Research Institute’s Academic Salon, a recurring forum since March 2022 that bridges academia and industry, will host Dr. Zhou Lipǔ on November 23 to present a large‑scale, high‑precision laser SLAM algorithm, with the session streamed via Tencent Meeting.

AIAcademic SeminarLarge-scale Optimization
0 likes · 6 min read
Tsinghua University-Meituan Digital Life Joint Research Institute Academic Salon
Python Programming Learning Circle
Python Programming Learning Circle
Nov 17, 2022 · Artificial Intelligence

GitHub Copilot Lawsuit Highlights Copyright and Privacy Concerns in AI Coding Assistants

The recent class-action lawsuit filed against Microsoft, GitHub, and OpenAI over GitHub Copilot alleges massive copyright infringement and privacy violations, demanding $9 billion in statutory damages and raising serious questions about the legality of AI‑generated code and its impact on the open‑source community.

AIGitHub CopilotLegal
0 likes · 6 min read
GitHub Copilot Lawsuit Highlights Copyright and Privacy Concerns in AI Coding Assistants
HomeTech
HomeTech
Nov 16, 2022 · Artificial Intelligence

Fundamentals and Policy Gradient Algorithms in Reinforcement Learning with Applications to Scene Text Recognition

This article introduces the basic concepts of reinforcement learning, derives model‑based and model‑free policy gradient methods—including vanilla policy gradient and Actor‑Critic—explains their mathematical foundations, and demonstrates their use in scene text recognition and image captioning tasks.

AIAttention MechanismReinforcement Learning
0 likes · 22 min read
Fundamentals and Policy Gradient Algorithms in Reinforcement Learning with Applications to Scene Text Recognition
Baidu Intelligent Testing
Baidu Intelligent Testing
Nov 15, 2022 · Artificial Intelligence

Risk‑Driven Delivery and Quality Assessment Model for Automated Testing at Baidu

This article describes Baidu's risk‑driven delivery approach, detailing the three current testing challenges, the design of a quality‑assessment system that uses machine‑learning (logistic regression) for risk identification, control and decision, and the resulting improvements in testing efficiency and quality.

AIMachine Learningautomation
0 likes · 14 min read
Risk‑Driven Delivery and Quality Assessment Model for Automated Testing at Baidu
Baidu Geek Talk
Baidu Geek Talk
Nov 14, 2022 · Artificial Intelligence

Risk‑Driven Delivery and Quality Assessment Model for Intelligent Testing

Baidu’s risk‑driven delivery system applies a machine‑learning quality‑assessment model that automatically identifies, controls, and decides testing risks across over 50 features, enabling precise test selection, intercepting hundreds of bugs, cutting test waiting time from 50 to 2 hours, and paving the way toward fully automated intelligent testing.

AIRisk Managementquality assessment
0 likes · 15 min read
Risk‑Driven Delivery and Quality Assessment Model for Intelligent Testing
DaTaobao Tech
DaTaobao Tech
Nov 12, 2022 · Industry Insights

How Taobao’s Double‑11 Tech Stack Redefined Shopping: Cloud‑Native DB, NeRF 3D, and Real‑Time Gaming

Taobao’s 2023 Double 11 showcased a suite of technical breakthroughs—including a cloud‑native Tair database for massive cart capacity, AI‑driven logistics forecasting, industry‑first NeRF‑based 3D product modeling, high‑definition live‑streaming, and a real‑time interactive gaming framework—demonstrating how infrastructure innovation can transform e‑commerce experiences.

AIDatabaseE‑commerce
0 likes · 12 min read
How Taobao’s Double‑11 Tech Stack Redefined Shopping: Cloud‑Native DB, NeRF 3D, and Real‑Time Gaming
iQIYI Technical Product Team
iQIYI Technical Product Team
Nov 11, 2022 · Artificial Intelligence

Award-Winning AI Dubbing System for Film and TV by iQIYI

iQIYI’s award‑winning AI dubbing system, IQDubbing, uses deep‑learning voice conversion, voiceprint, facial and audio processing to cut dubbing time to one‑sixth, slash costs, secure 21 patents, and has already dubbed over 90 films and 200 TV series across multiple languages.

AIDubbingInnovation
0 likes · 3 min read
Award-Winning AI Dubbing System for Film and TV by iQIYI
DataFunTalk
DataFunTalk
Nov 8, 2022 · Artificial Intelligence

Retrieval-Based Dialogue System Framework for Customer Service: Architecture, Retrieval, Ranking, and Practical Applications

This article presents a comprehensive retrieval‑based dialogue system designed to assist customer‑service agents by recommending candidate replies, detailing its five‑layer architecture, metric suite, text and vector retrieval modules, ranking strategies, and real‑world deployment results across multiple business scenarios.

AICustomer ServiceNatural Language Processing
0 likes · 34 min read
Retrieval-Based Dialogue System Framework for Customer Service: Architecture, Retrieval, Ranking, and Practical Applications
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Nov 4, 2022 · Artificial Intelligence

Applying AI for Game Balance Testing: DNN Victory Prediction and Genetic Algorithm Optimization

This article details a practical AI-driven workflow for a turn‑based card game, covering problem background, data modeling with a DNN victory‑prediction network, reinforcement‑learning‑based data generation, and a genetic‑algorithm search to identify the strongest and weakest team compositions.

AIDNNGame Balance
0 likes · 18 min read
Applying AI for Game Balance Testing: DNN Victory Prediction and Genetic Algorithm Optimization
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Nov 3, 2022 · Big Data

How Alibaba Cloud’s ODPS Upgrade Redefines Big Data Processing and AI Integration

Alibaba Cloud announced that its ODPS platform has been upgraded into an integrated big‑data solution that supports massive batch jobs, real‑time analytics, and AI workloads, delivering record‑breaking performance and enabling use cases from smart city traffic optimization to accelerated autonomous‑driving model training.

AIBig DataReal-Time Analytics
0 likes · 5 min read
How Alibaba Cloud’s ODPS Upgrade Redefines Big Data Processing and AI Integration
Meituan Technology Team
Meituan Technology Team
Nov 3, 2022 · Artificial Intelligence

Retrieval‑Based Dialogue System for Customer Service at Meituan

This article details Meituan's retrieval‑based dialogue framework for customer service, covering its five‑layer architecture, offline‑to‑online metric system, text and vector recall strategies, ranking models with pre‑training and contrastive learning, and real‑world deployment results across multiple business scenarios.

AICustomer ServiceMeituan
0 likes · 38 min read
Retrieval‑Based Dialogue System for Customer Service at Meituan
Baidu Geek Talk
Baidu Geek Talk
Nov 3, 2022 · Cloud Native

Challenges and Solutions for AI Storage Systems in Cloud‑Native Training

The talk outlines how AI training’s growing data and compute demands create storage bottlenecks across four evolutionary stages, identifies four core problems—massive data, data‑flow, resource scheduling, and compute acceleration—and proposes hardware, software (parallel file systems, caching), and cloud‑native orchestration (Fluid, Baidu Canghai) solutions that combine object‑storage lakes with high‑performance acceleration layers to achieve near‑full GPU utilization.

AIData Lakecaching
0 likes · 37 min read
Challenges and Solutions for AI Storage Systems in Cloud‑Native Training
DataFunTalk
DataFunTalk
Nov 1, 2022 · Artificial Intelligence

Cross‑Domain Multi‑Objective Modeling and Long‑Term Value Exploration in NetEase Yanxuan Recommendation System

This article presents the practical evolution of NetEase Yanxuan's recommendation pipeline, covering background, multi‑objective and cross‑domain modeling, bias correction, loss function enhancements, long‑term value strategies, and multi‑scene modeling, with experimental results and a Q&A session.

AIBias CorrectionMMoE
0 likes · 20 min read
Cross‑Domain Multi‑Objective Modeling and Long‑Term Value Exploration in NetEase Yanxuan Recommendation System
21CTO
21CTO
Oct 30, 2022 · Fundamentals

Top 10 IoT Trends That Will Transform Industries

This article explores the rapid growth of the Internet of Things, outlines the key drivers behind its expansion, highlights major challenges such as chip shortages and bandwidth limits, and presents ten emerging trends—including AI integration, 5G, edge computing, and security—that will shape multiple sectors in the coming years.

5GAIBig Data
0 likes · 9 min read
Top 10 IoT Trends That Will Transform Industries
Zhuanzhuan Tech
Zhuanzhuan Tech
Oct 28, 2022 · Artificial Intelligence

Contrastive Learning: Definitions, Principles, Classic Algorithms, and Applications in Recommendation Systems

This article introduces contrastive learning, explains its definition, principles, and classic algorithms such as SimCLR and MoCo, and details its practical applications in recommendation systems, including a case study of its deployment at Zhuanzhuan that boosted order rates by over 10%.

AISelf-supervised Learningcontrastive learning
0 likes · 12 min read
Contrastive Learning: Definitions, Principles, Classic Algorithms, and Applications in Recommendation Systems
Efficient Ops
Efficient Ops
Oct 26, 2022 · Artificial Intelligence

Unveiling China’s AI Model Delivery Standard: Boosting MLOps and AI Engineering

China’s 14th Five-Year Plan and 2035 Vision prioritize AI, prompting a shift from proof‑of‑concept to product deployment; the newly released Model Delivery standard, part of the Model/MLOps maturity model, defines five maturity levels and a reusable pipeline to boost AI engineering across industries.

AIAI engineeringChina
0 likes · 5 min read
Unveiling China’s AI Model Delivery Standard: Boosting MLOps and AI Engineering
DataFunSummit
DataFunSummit
Oct 26, 2022 · Artificial Intelligence

Digital Human Technology on the Soul Platform: Architecture, Key Techniques, and Application Scenarios

This article introduces Soul's digital‑human solution, covering the platform’s social metaverse concept, the self‑developed N⋀W⋀ rendering engine, its AI‑driven head, half‑body and full‑body capture pipelines, rendering capabilities, design resources, practical use cases, and future research directions.

AIAR/VRRendering Engine
0 likes · 10 min read
Digital Human Technology on the Soul Platform: Architecture, Key Techniques, and Application Scenarios
Baidu Geek Talk
Baidu Geek Talk
Oct 26, 2022 · Artificial Intelligence

Exploring Automatic Advertising Copy Generation: Techniques, Practices, and Future Directions

The article surveys automatic advertising copy generation, detailing why optimization is needed, the fundamentals of neural text generation with Seq2Seq and attention, extractive versus abstractive approaches, modern embeddings and MASS pre‑training, practical data and evaluation methods, and future enhancements such as multi‑stage attention, knowledge integration, and large pre‑trained models.

AIAdvertisingMASS
0 likes · 21 min read
Exploring Automatic Advertising Copy Generation: Techniques, Practices, and Future Directions
360 Tech Engineering
360 Tech Engineering
Oct 26, 2022 · Backend Development

Lightweight Intelligent Monitoring Platform Architecture and Component Overview

This article details a lightweight intelligent monitoring platform built on the open‑source WVP framework, describing its modular architecture, edge‑computing workflow with KubeEdge, SIP registration process, real‑time streaming setup, core features, and technical innovations such as MongoDB adoption and flexible pod scheduling.

AIEdge ComputingKafka
0 likes · 9 min read
Lightweight Intelligent Monitoring Platform Architecture and Component Overview
DataFunSummit
DataFunSummit
Oct 25, 2022 · Databases

Design and Implementation of Meituan's Database Autonomy Service (DAS)

This article presents the background, challenges, architectural design, technical solutions, and future roadmap of Meituan's Database Autonomy Service (DAS), a platform that leverages big‑data collection, AI‑assisted root‑cause analysis, and automated operations to improve database performance, reliability, and self‑service capabilities.

AIBig DataDatabase Autonomy
0 likes · 18 min read
Design and Implementation of Meituan's Database Autonomy Service (DAS)
DeWu Technology
DeWu Technology
Oct 24, 2022 · Artificial Intelligence

KubeAI Platform Implementation for AI Business Containerization

KubeAI, GetApp’s cloud‑native AI platform, unifies data set management, notebook‑based and task‑driven model training, automated versioning and deployment, and workflow orchestration, delivering up to 65% faster model iteration and up to 90% lower resource costs for AI teams.

AICloudNativeDataManagement
0 likes · 17 min read
KubeAI Platform Implementation for AI Business Containerization
dbaplus Community
dbaplus Community
Oct 21, 2022 · Databases

How Meituan Uses AI to Detect Database Anomalies in Real Time

Meituan's database platform team built an AI‑driven anomaly detection service that automatically extracts feature patterns, selects appropriate statistical algorithms, trains models, and performs both offline and online monitoring to quickly locate and mitigate database issues across diverse production scenarios.

AIDatabase Anomaly DetectionReal‑time Monitoring
0 likes · 18 min read
How Meituan Uses AI to Detect Database Anomalies in Real Time
Ctrip Technology
Ctrip Technology
Oct 20, 2022 · Artificial Intelligence

Mid‑ and Long‑Term Monthly Hotel Room‑Night Forecasting under Pandemic Conditions

This article presents a pandemic‑aware method for predicting national hotel monthly room‑nights over the next six months, detailing data augmentation, feature engineering, LSTM and SARIMA‑LASSO modeling, scenario‑based risk assessment, and evaluation results that demonstrate accurate forecasts despite COVID‑19 disruptions.

AILSTMPandemic Impact
0 likes · 14 min read
Mid‑ and Long‑Term Monthly Hotel Room‑Night Forecasting under Pandemic Conditions
21CTO
21CTO
Oct 19, 2022 · Operations

How Gartner’s 2023 Tech Trends Will Transform Enterprise Operations and Profitability

Amid economic turbulence, CIOs and IT leaders must shift from cost‑cutting to new operational excellence, and Gartner’s 2023 strategic technology trends—covering sustainability, the metaverse, superapps, adaptive AI, digital immune systems, applied observability, AI trust and risk management, industry cloud platforms, platform engineering, and wireless value realization—offer a roadmap to boost resilience, growth and revenue.

AIDigital Immune SystemGartner
0 likes · 10 min read
How Gartner’s 2023 Tech Trends Will Transform Enterprise Operations and Profitability
360 Smart Cloud
360 Smart Cloud
Oct 19, 2022 · Backend Development

Lightweight Intelligent Monitoring Platform Architecture Based on WVP

The article introduces a lightweight intelligent monitoring platform built on the open‑source WVP framework, detailing its components, SIP‑based video streaming architecture, edge‑computing integration, AI services, and performance optimizations such as MongoDB adoption.

AIEdge ComputingSIP
0 likes · 8 min read
Lightweight Intelligent Monitoring Platform Architecture Based on WVP
HelloTech
HelloTech
Oct 19, 2022 · Artificial Intelligence

Intelligent Creative System: Types, Quality Evaluation, Generation Models, and Optimization

The Intelligent Creative System defines advertising creatives across formats, evaluates image and text quality using reference‑based metrics and models like DeepBIQ, generates multimodal ads via GANs and Transformers, and selects optimal variants through bandit‑based CTR prediction and multimodal fusion, enabling scalable, data‑driven creative production.

AIBandit ModelGaN
0 likes · 10 min read
Intelligent Creative System: Types, Quality Evaluation, Generation Models, and Optimization
Baidu Geek Talk
Baidu Geek Talk
Oct 17, 2022 · Artificial Intelligence

OCR Technology: PaddleOCR and Paddle.js Integration

The article explains OCR fundamentals and details how Baidu’s open‑source PaddleOCR suite can be converted and run in browsers via the @paddlejs‑models/ocr SDK, describing model initialization, detection and CRNN‑based recognition pipelines, and presenting benchmark results that show the newer ch_PP‑OCRv2 model achieving higher accuracy and faster inference than the mobile variant.

AIMachine LearningOCR
0 likes · 9 min read
OCR Technology: PaddleOCR and Paddle.js Integration
phodal
phodal
Oct 16, 2022 · Industry Insights

Why Financial Python‑as‑a‑Service Is the Next Big Leap for FinTech Data Analysis

This article examines the Bank Python architecture—four core building blocks and a three‑layer platform (interaction, domain, data)—and explains how a self‑service Python environment can deliver fast, real‑time, low‑latency analytics for financial professionals while addressing risk, compliance, and hybrid‑cloud challenges.

AIFinTechPlatform
0 likes · 9 min read
Why Financial Python‑as‑a‑Service Is the Next Big Leap for FinTech Data Analysis
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
Oct 14, 2022 · Artificial Intelligence

Machine Learning Frameworks in Industrial Applications: Challenges and Prospects

The talk highlighted how mainstream deep‑learning frameworks such as TensorFlow and PyTorch lower entry barriers, yet fast‑growing industrial platforms like Xiaohongshu face unique timeliness and sparse‑data challenges that often demand custom frameworks, prompting discussion of developer preparation, hardware optimization, and the distinct innovations of domestic versus foreign solutions.

AIDeep Learning FrameworksOneFlow
0 likes · 6 min read
Machine Learning Frameworks in Industrial Applications: Challenges and Prospects
Sohu Tech Products
Sohu Tech Products
Oct 12, 2022 · Artificial Intelligence

AlphaTensor: DeepMind’s AI System for Discovering Faster Matrix Multiplication Algorithms

DeepMind’s AlphaTensor, built on AlphaZero and reinforcement learning, automatically discovers novel, provably correct matrix multiplication algorithms that outperform classic methods like Strassen’s, demonstrating how modern AI can automate algorithm discovery and significantly accelerate computations across many fields.

AIAlphaTensorDeepMind
0 likes · 8 min read
AlphaTensor: DeepMind’s AI System for Discovering Faster Matrix Multiplication Algorithms
Programmer DD
Programmer DD
Oct 11, 2022 · Artificial Intelligence

Why Is Google Translate Suddenly Failing in Mainland China?

Recent reports reveal that Google Translate’s mainland China domain translate.google.cn now redirects to a search page and ultimately to the Hong Kong site, rendering the service inaccessible for Chinese users, while underlying issues stem from censored training data, outdated infrastructure, and past attempts to revive Google’s search in China.

AIChinaGoogle Translate
0 likes · 5 min read
Why Is Google Translate Suddenly Failing in Mainland China?
DataFunSummit
DataFunSummit
Oct 4, 2022 · Artificial Intelligence

Graph Federated Learning: Necessity, Classification, Algorithms, Platform Architecture, and Financial Applications

This article provides a comprehensive overview of graph federated learning, covering its motivation, taxonomy, representative algorithms, platform design, practical financial use cases, and future research challenges, with a focus on privacy-preserving distributed graph neural network training.

AIFinancial Applicationsfederated learning
0 likes · 15 min read
Graph Federated Learning: Necessity, Classification, Algorithms, Platform Architecture, and Financial Applications
DataFunTalk
DataFunTalk
Oct 3, 2022 · Artificial Intelligence

Building Real‑World Medical Knowledge Graphs and Clinical Event Graphs: Methods, Pipelines, and Applications

This article explains how YiduCore processes heterogeneous hospital data (EMR, HIS, LIS, RIS, literature) to construct real‑world medical knowledge graphs and clinical event graphs, detailing pipelines for entity extraction, normalization, graph cleaning, PSR scoring, graph embedding, and showcasing applications such as intelligent diagnosis, question answering, automated medical record generation, and clinical trial patient recruitment.

AIBig DataMedical Knowledge Graph
0 likes · 21 min read
Building Real‑World Medical Knowledge Graphs and Clinical Event Graphs: Methods, Pipelines, and Applications
21CTO
21CTO
Oct 1, 2022 · Cloud Computing

Intel’s Open OneAPI and Cloud: Powering Heterogeneous Computing

Intel’s recent announcements, featuring Linus Torvalds, the open‑source OneAPI ecosystem, SYCL‑based cross‑architecture tools, and the new Intel Developer Cloud, illustrate how the company is driving a unified, hardware‑agnostic platform for AI, accelerated computing, and secure cloud workloads.

AIDeveloper CloudIntel
0 likes · 10 min read
Intel’s Open OneAPI and Cloud: Powering Heterogeneous Computing
Tencent Cloud Developer
Tencent Cloud Developer
Sep 30, 2022 · Industry Insights

How Blockchain Fuels the Emerging “True Internet” Ecosystem – Insights from Tencent’s Whitepaper

The Tencent‑Accenture whitepaper defines the “True Internet” as a comprehensive digital‑physical integration enabled by twin/video, remote interaction, ubiquitous intelligence, trusted protocols and unlimited computing, with blockchain serving as a core technology that underpins data ownership, trusted computing, and a wide range of industry applications.

AIBlockchainCloud Computing
0 likes · 13 min read
How Blockchain Fuels the Emerging “True Internet” Ecosystem – Insights from Tencent’s Whitepaper
Kuaishou Large Model
Kuaishou Large Model
Sep 30, 2022 · Artificial Intelligence

Virtual Digital Humans: Trends, Challenges, and the Future of AI Avatars

The article explores the rapid evolution of virtual digital humans, highlighting recent innovations, industry applications like Kuaishou's V‑Star program, academic research breakthroughs, and the technical and commercial challenges that must be overcome for these AI‑driven avatars to become mainstream.

AIAR/VRKuaishou
0 likes · 8 min read
Virtual Digital Humans: Trends, Challenges, and the Future of AI Avatars
DataFunTalk
DataFunTalk
Sep 30, 2022 · Artificial Intelligence

Applying Knowledge Graphs to Scene Understanding in Meituan's Hotel and Travel Search

This presentation details how Meituan leverages knowledge‑graph technology to model hotel and travel business characteristics, perform scene cognition, build a multi‑layer knowledge graph, and design a five‑stage search architecture that combines precise and generic queries with AI‑driven ranking and explainable recommendation techniques.

AIKnowledge GraphMeituan
0 likes · 21 min read
Applying Knowledge Graphs to Scene Understanding in Meituan's Hotel and Travel Search
58 Tech
58 Tech
Sep 29, 2022 · Artificial Intelligence

End-to-End Speech Recognition Optimization and Deployment at 58.com

58.com’s AI Lab presents a comprehensive overview of its end‑to‑end speech recognition system, detailing data collection, semi‑supervised training, Efficient Conformer architecture, model compression, and deployment strategies that together achieve high accuracy across diverse acoustic conditions and large‑scale production workloads.

AIEfficient ConformerEnd-to-End
0 likes · 19 min read
End-to-End Speech Recognition Optimization and Deployment at 58.com
DataFunTalk
DataFunTalk
Sep 27, 2022 · Artificial Intelligence

Contrastive Learning for Text Generation: Motivation, Methodology, Experiments, and Discussion (CoNT Framework)

This article reviews the integration of contrastive learning into text generation, explains why it helps mitigate exposure bias, introduces the CoNT framework with three key improvements, presents extensive experiments on translation, summarization, code comment and data‑to‑text tasks, and discusses practical deployment considerations.

AICoNTNatural Language Processing
0 likes · 21 min read
Contrastive Learning for Text Generation: Motivation, Methodology, Experiments, and Discussion (CoNT Framework)
21CTO
21CTO
Sep 26, 2022 · Artificial Intelligence

Unlocking Live-Streaming Recommendations: Strategies from Tencent Music’s Interactive Systems

This article explores the evolution of recommendation systems for interactive live‑streaming scenarios, covering common system traits, user cold‑start solutions, prior knowledge modeling, scene‑specific modeling, and practical Q&A insights drawn from Tencent Music’s real‑world deployments.

AIModel OptimizationRecommendation Systems
0 likes · 19 min read
Unlocking Live-Streaming Recommendations: Strategies from Tencent Music’s Interactive Systems
Zuoyebang Tech Team
Zuoyebang Tech Team
Sep 23, 2022 · Artificial Intelligence

How AI Powers K‑12 Education: Insights from a Chief Algorithm Expert

In this interview, the chief algorithm expert at Zuoyebang discusses how AI technologies such as NLP, speech recognition, large‑model pre‑training, and knowledge‑graph construction are applied to K‑12 education, covering practical challenges, deployment strategies, and future research directions.

AIEducation TechnologyKnowledge Graph
0 likes · 27 min read
How AI Powers K‑12 Education: Insights from a Chief Algorithm Expert
DataFunSummit
DataFunSummit
Sep 22, 2022 · Information Security

Privacy Computing Enables Secure Medical Data Sharing and Analysis

This presentation introduces how privacy‑preserving computation technologies such as federated learning, trusted execution environments, and cryptographic methods empower the secure flow, analysis, and value extraction of large‑scale medical health data while addressing de‑identification risks and regulatory constraints.

AIfederated learningmedical data security
0 likes · 19 min read
Privacy Computing Enables Secure Medical Data Sharing and Analysis
Zhengtong Technical Team
Zhengtong Technical Team
Sep 22, 2022 · Artificial Intelligence

How YOLOv5 Powers Real‑Time City Management Video Analysis

This article explains the background, workflow, and technical details of using the YOLOv5 one‑stage object detection algorithm to enable fast, accurate video analytics for urban management, covering data augmentation, backbone design, FPN‑PAN neck, and prediction output processing.

AIDeep LearningYOLOv5
0 likes · 8 min read
How YOLOv5 Powers Real‑Time City Management Video Analysis
AntTech
AntTech
Sep 22, 2022 · Artificial Intelligence

SecretFlow Open‑Source Privacy Computing Framework Releases Version 0.7 with Enhanced MPC, Federated Learning, and Performance Optimizations

The SecretFlow privacy‑computing open‑source framework announced its inclusion in the PPCA Open‑Source Working Group and launched version 0.7, adding multi‑party computation, federated learning, infrastructure upgrades, and documentation improvements to advance secure AI and data analytics.

AIMPCfederated learning
0 likes · 7 min read
SecretFlow Open‑Source Privacy Computing Framework Releases Version 0.7 with Enhanced MPC, Federated Learning, and Performance Optimizations
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Sep 22, 2022 · Artificial Intelligence

Scaling Fashion AI: How Zhiyi Built a Massive Image‑Recognition Platform on Alibaba Cloud

This article details how Hangzhou Zhiyi Technology leverages AI, big‑data pipelines, and Alibaba Cloud services to create a scalable fashion‑focused image‑recognition and visual‑search platform, covering company background, system architecture, model training, vector search, and future technical upgrades.

AICloudComputingFashionTech
0 likes · 13 min read
Scaling Fashion AI: How Zhiyi Built a Massive Image‑Recognition Platform on Alibaba Cloud
AntTech
AntTech
Sep 21, 2022 · Big Data

2022 China Graph Computing Technology and Application Development Research Report Overview

China’s graph computing landscape is rapidly evolving, with the 2022 CB Insights report detailing the technology’s shift from traditional relational databases to graph databases and engines, highlighting industry growth, academic research surges, major investments, open‑source initiatives, and diverse applications across finance, energy, and AI.

AIGraph DatabasesTechnology Trends
0 likes · 14 min read
2022 China Graph Computing Technology and Application Development Research Report Overview
DataFunTalk
DataFunTalk
Sep 21, 2022 · Artificial Intelligence

XiaoAi Intelligent QA: Information Extraction, Event Extraction, and Knowledge Graph Question Answering

This presentation details the XiaoAi intelligent assistant’s QA system, covering its application scenarios, information extraction techniques (including relation and event extraction with SPO/PSO models), graph‑based question answering methods, cross‑domain slot extraction, path retrieval, and practical Q&A insights.

AIGraph QAKnowledge Graph
0 likes · 18 min read
XiaoAi Intelligent QA: Information Extraction, Event Extraction, and Knowledge Graph Question Answering
Architects Research Society
Architects Research Society
Sep 19, 2022 · Artificial Intelligence

AI-Driven Assistants and AIOps Transform Enterprise Networks in 2022

The article examines how rapid AI adoption, AIOps, and hybrid‑work infrastructure investments are reshaping enterprise networking, security, and automation, highlighting AI‑powered assistants that can troubleshoot networks, the rise of SASE, and future trends toward human‑level AI performance.

AIAIOpsEnterprise IT
0 likes · 10 min read
AI-Driven Assistants and AIOps Transform Enterprise Networks in 2022
Model Perspective
Model Perspective
Sep 15, 2022 · Artificial Intelligence

Unlocking Uncertainty: A Beginner’s Guide to Bayesian Networks

Bayesian Networks are powerful tools that translate complex probabilistic relationships into intuitive graph structures, enabling uncertainty reasoning, simplifying joint probability calculations, and forming the foundation for models such as Hidden Markov Models and Kalman filters, while also supporting data‑driven learning of network structures.

AIBayesian networksgraphical models
0 likes · 2 min read
Unlocking Uncertainty: A Beginner’s Guide to Bayesian Networks
ITPUB
ITPUB
Sep 15, 2022 · Artificial Intelligence

Why Precise Feature Engineering Still Matters in Recommendation Systems

In the era of deep learning, feature engineering remains crucial for recommendation and search advertising because it bridges raw relational data and models, improves performance, reduces complexity, and handles high‑cardinality, large‑scale, and time‑sensitive scenarios with robust transformations and statistical encoding.

AIMachine LearningRecommendation Systems
0 likes · 20 min read
Why Precise Feature Engineering Still Matters in Recommendation Systems
Sohu Tech Products
Sohu Tech Products
Sep 14, 2022 · Artificial Intelligence

Machine News Writing: Origins, Technologies, and Future Prospects

This article surveys the evolution of machine-generated news—from early financial reporting bots to modern AI-driven platforms like WritingBot—detailing template‑based and neural text generation techniques, real‑world applications in sports and finance, and future challenges and opportunities for automated journalism.

AIMachine Writingdata journalism
0 likes · 14 min read
Machine News Writing: Origins, Technologies, and Future Prospects