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ByteFE
ByteFE
Dec 3, 2021 · Frontend Development

Curated Technical Articles on Frontend Development, Low‑Code, AI Code Generation, and Modern Web Technologies

This collection presents a range of technical articles covering low‑code and zero‑code solutions, AI‑driven code generation, WebAssembly, frontend engineering practices, algorithms, JavaScript performance, CSS Grid, Chrome extensions, and advanced JavaScript features, offering insights for modern web developers.

AIChrome Extensioncss-grid
0 likes · 7 min read
Curated Technical Articles on Frontend Development, Low‑Code, AI Code Generation, and Modern Web Technologies
DataFunTalk
DataFunTalk
Dec 3, 2021 · Artificial Intelligence

Key Skills and Career Path for Algorithm Engineers

This article outlines the essential abilities, classifications, growth roadmap, and practical advice for algorithm engineers, covering algorithmic knowledge, engineering implementation, career stages from entry to management, and mindset shifts needed for continuous professional development.

AICareer DevelopmentEngineering
0 likes · 11 min read
Key Skills and Career Path for Algorithm Engineers
Kuaishou Large Model
Kuaishou Large Model
Dec 3, 2021 · Artificial Intelligence

How Can Your Face Reveal Heart Rate? Exploring rPPG Technology

This article explains the principles of remote photoplethysmography (rPPG), how facial skin color changes caused by heartbeats can be captured by a camera to measure heart rate, respiration, SpO₂ and other physiological signals, and reviews traditional and data‑driven algorithms for robust signal extraction.

AIComputer Visionheart rate detection
0 likes · 7 min read
How Can Your Face Reveal Heart Rate? Exploring rPPG Technology
Alibaba Terminal Technology
Alibaba Terminal Technology
Dec 2, 2021 · Artificial Intelligence

How Virtual Digital Humans Are Shaping the Future of Entertainment and Commerce

This article defines virtual characters, traces their origins from the 1989 Visible Human Project to modern digital idols, examines market growth across e‑commerce, finance, film and gaming, outlines the industry’s three‑layer architecture, showcases leading products and solutions, and details the technical research areas such as 3D art pipelines, facial‑animation, rendering, scene orchestration, and big‑data‑driven algorithms pursued by Alibaba’s front‑end team.

3D renderingAIIndustry Analysis
0 likes · 14 min read
How Virtual Digital Humans Are Shaping the Future of Entertainment and Commerce
DataFunTalk
DataFunTalk
Dec 1, 2021 · Artificial Intelligence

AI DSA: Architecture Features, Industry Trends, and Software Stack Challenges

The article summarizes Dr. Tang Shan's presentation on AI domain‑specific architectures, covering their background, the explosion of diverse AI hardware designs, and the significant software‑stack challenges that arise from fragmented tools and the need for full‑stack solutions.

AIDSAHardware
0 likes · 14 min read
AI DSA: Architecture Features, Industry Trends, and Software Stack Challenges
DataFunTalk
DataFunTalk
Nov 29, 2021 · Artificial Intelligence

Text Mining for User Research: Architecture, Labeling, and Application Cases at JD.com

The presentation explains how JD.com leverages large‑scale text mining and NLP techniques—including data cleaning, multi‑level labeling, sentiment classification with models such as TextCNN, RoBERTa, and USE—to transform unstructured customer feedback into actionable product insights across various e‑commerce scenarios.

AINLPSentiment Analysis
0 likes · 18 min read
Text Mining for User Research: Architecture, Labeling, and Application Cases at JD.com
21CTO
21CTO
Nov 19, 2021 · Artificial Intelligence

Top Programming Languages Powering Modern AI: Benefits & Use Cases

This article reviews the most suitable programming languages for artificial intelligence, explaining why Python, R, Java, LISP, Prolog, C++, Haskell, JavaScript, and Julia excel in AI development and outlining their key advantages and typical applications.

AIC++JavaScript
0 likes · 16 min read
Top Programming Languages Powering Modern AI: Benefits & Use Cases
Tencent Cloud Developer
Tencent Cloud Developer
Nov 19, 2021 · Artificial Intelligence

End‑to‑End Breast Cancer Prediction Solution Using Decision Tree on Tencent Cloud AI Platform

This guide details an end‑to‑end breast‑cancer prediction pipeline on Tencent Cloud, covering offline decision‑tree training with TI‑ONE, model packaging as a PMML service, real‑time feature generation via Oceanus and CKafka, and live inference stored in ClickHouse, all within a secure VPC.

AIFlinkReal-time Streaming
0 likes · 19 min read
End‑to‑End Breast Cancer Prediction Solution Using Decision Tree on Tencent Cloud AI Platform
DataFunSummit
DataFunSummit
Nov 18, 2021 · Artificial Intelligence

Enterprise Applications and Research of Speech Translation

This article reviews recent advances in speech translation, discusses ByteDance's practical deployments, compares cascade and end‑to‑end modeling approaches, introduces improved encoder‑decoder architectures and training strategies, and reports state‑of‑the‑art results on the IWSLT 2021 benchmark.

AIByteDanceEnd-to-End
0 likes · 15 min read
Enterprise Applications and Research of Speech Translation
Shopee Tech Team
Shopee Tech Team
Nov 18, 2021 · Industry Insights

How Shopee Automates Southeast Asian Last‑Mile Sorting with AI and Big Data

This article analyzes the inefficiencies of Southeast Asian last‑mile logistics and explains Shopee's AI‑driven, data‑centric solution that builds a trusted address library, uses offline training and online inference, and adopts AOI‑based matching to automate parcel sorting and driver assignment.

AIBig DataLogistics
0 likes · 17 min read
How Shopee Automates Southeast Asian Last‑Mile Sorting with AI and Big Data
58 Tech
58 Tech
Nov 18, 2021 · Artificial Intelligence

Intelligent Search Strategy for 58 Recruitment: Breaking Category Constraints and Building a Smart Recall Framework

This article describes how 58 recruitment revamped its search system by removing rigid category limits, introducing query rewriting, intent recognition, doc understanding, and vector‑based recall, resulting in significantly higher relevance, reduced bad cases, and improved commercial performance.

AIQuery RewritingVector Retrieval
0 likes · 14 min read
Intelligent Search Strategy for 58 Recruitment: Breaking Category Constraints and Building a Smart Recall Framework
DataFunTalk
DataFunTalk
Nov 18, 2021 · R&D Management

Insights into AI R&D Management, Cost Efficiency, and Education Solutions at New Oriental AI Research Institute

The article reviews New Oriental’s AI research institute journey, analyzing AI development trends, challenges, performance metrics, organizational structure, cost‑reduction strategies, and product innovations in education, offering practical insights for AI R&D management and enterprise AI deployment.

AIEducation TechnologyR&D management
0 likes · 27 min read
Insights into AI R&D Management, Cost Efficiency, and Education Solutions at New Oriental AI Research Institute
Baidu Geek Talk
Baidu Geek Talk
Nov 17, 2021 · Artificial Intelligence

Fast Video Editing: Architecture and AI‑Powered Subtitle & Redundant Segment Detection

Baidu’s Fast Editing tool automates video trimming by using NLP to recognize subtitles, tone markers and duplicate sentences, then aligns them with the timeline for one‑click removal, employing character, Levenshtein and cosine similarity algorithms within a three‑module architecture (Plugin, Window, Caption) and planning on‑device PaddlePaddle analysis to cut latency and cost.

AINLPSwift
0 likes · 11 min read
Fast Video Editing: Architecture and AI‑Powered Subtitle & Redundant Segment Detection
JD Retail Technology
JD Retail Technology
Nov 16, 2021 · Artificial Intelligence

Intelligent Online Selling Point Extraction for E‑Commerce Recommendation (IOSPE) Wins AAAI 2022 Innovation Award

The IOSPE system, which uses BERT‑based scoring, transformer‑pointer generation, and personalized distribution to automatically extract and generate selling points for millions of e‑commerce products, earned the AAAI 2022 Artificial Intelligence Innovation Application Award and has boosted click‑through rates and user dwell time across JD.com platforms.

AIBERTInnovation Award
0 likes · 6 min read
Intelligent Online Selling Point Extraction for E‑Commerce Recommendation (IOSPE) Wins AAAI 2022 Innovation Award
JD Retail Technology
JD Retail Technology
Nov 16, 2021 · Artificial Intelligence

Automatic Product Copywriting for E-Commerce: The APCG System and Its AI Innovations

The APCG system, awarded the AAAI 2022 Innovation Application Prize, automatically generates e‑commerce product copy using a Transformer‑Pointer network and a pretrained sequence‑to‑sequence model, incorporates quality control, employs novel pretraining tasks, and has produced millions of descriptions that boost CTR, CVR, and GMV.

AITransformercopywriting
0 likes · 6 min read
Automatic Product Copywriting for E-Commerce: The APCG System and Its AI Innovations
58 Tech
58 Tech
Nov 16, 2021 · Artificial Intelligence

Deep Optimization of the 58 Yellow Pages Smart Chat Assistant for Enhanced User Experience and Business Opportunity Conversion

This article details the development and continuous optimization of 58.com’s Yellow Pages smart chat assistant, covering background, metrics, model improvements for QABot and TaskBot, slot extraction, quality assessment, and future directions, resulting in near‑human conversion rates and significant operational savings.

AIBusiness OpportunityChatbot
0 likes · 22 min read
Deep Optimization of the 58 Yellow Pages Smart Chat Assistant for Enhanced User Experience and Business Opportunity Conversion
DataFunTalk
DataFunTalk
Nov 16, 2021 · Artificial Intelligence

Hotel Search Relevance Modeling and Architecture at Fliggy (Alibaba)

This article presents a comprehensive overview of Fliggy's hotel search relevance system, covering the business background, multi‑scenario architecture, core factor estimation, entity recognition, text and spatial relevance modeling, multi‑scenario fusion, and future optimization directions.

AIBERThotel search
0 likes · 17 min read
Hotel Search Relevance Modeling and Architecture at Fliggy (Alibaba)
DataFunSummit
DataFunSummit
Nov 15, 2021 · Artificial Intelligence

Hotel Search Relevance Construction and Modeling at Fliggy (Alibaba)

This article presents a comprehensive overview of Fliggy's hotel search system, covering its multi‑platform background, architecture, complex relevance factors—including text, spatial, and price—and the modeling techniques used to fuse these signals for personalized ranking, along with future improvement directions.

AIhotel searchpersonalization
0 likes · 18 min read
Hotel Search Relevance Construction and Modeling at Fliggy (Alibaba)
Alibaba Terminal Technology
Alibaba Terminal Technology
Nov 15, 2021 · Artificial Intelligence

How AI Powers Smart Home Workouts on Mobile: Alibaba Sports’ Pose‑Tracking

Alibaba Sports’ AI-powered smart workout system transforms a simple smartphone and a few square meters of space into an interactive home fitness solution, using MNN‑based pose estimation to recognize and correct dozens of exercises, while addressing challenges like accuracy, performance, and automated testing.

AIAutomated TestingComputer Vision
0 likes · 11 min read
How AI Powers Smart Home Workouts on Mobile: Alibaba Sports’ Pose‑Tracking
DataFunTalk
DataFunTalk
Nov 14, 2021 · Artificial Intelligence

Knowledge Graph Construction and Entity Linking: Techniques, Applications, and Recent Advances

This article provides a comprehensive overview of knowledge graphs and entity linking, covering their definitions, practical uses in question answering, search and recommendation, the standard pipeline of mention detection, candidate generation and scoring, challenges such as scalability and multilinguality, and recent research advances including dual‑encoder, RELIC, deep retrieval, and multilingual BERT‑based models, followed by a discussion of modern knowledge‑graph construction methods.

AIentity linkingknowledge graph
0 likes · 21 min read
Knowledge Graph Construction and Entity Linking: Techniques, Applications, and Recent Advances
DataFunTalk
DataFunTalk
Nov 12, 2021 · Artificial Intelligence

Xiaomi Xiao AI Intelligent Question‑Answering System: Architecture, Techniques, and Applications

This article presents a comprehensive overview of Xiaomi's Xiao AI intelligent QA system, detailing its background, three core answering modules—knowledge‑graph QA, retrieval‑based FAQ, and reading‑comprehension—and the underlying methods such as template matching, cross‑domain semantic parsing, path‑based reasoning, semantic retrieval, and neural matching, while also discussing performance results and practical trade‑offs.

AINLPReading Comprehension
0 likes · 18 min read
Xiaomi Xiao AI Intelligent Question‑Answering System: Architecture, Techniques, and Applications
Airbnb Technology Team
Airbnb Technology Team
Nov 11, 2021 · Artificial Intelligence

Airbnb’s Task‑Oriented Dialogue System for Mutual Cancellation: Architecture, Data Collection, Modeling, and Deployment

Airbnb’s ATIS task‑oriented dialogue system for Mutual Cancellation combines hierarchical domain classification, Q&A‑style intent annotation, large‑scale RoBERTa pre‑training with multilingual fine‑tuning, multi‑turn context handling, GPU‑accelerated inference, and contextual‑bandit reinforcement learning to deliver a scalable, efficient customer‑support solution.

AIGPU deploymentmultilingual
0 likes · 22 min read
Airbnb’s Task‑Oriented Dialogue System for Mutual Cancellation: Architecture, Data Collection, Modeling, and Deployment
DataFunSummit
DataFunSummit
Nov 10, 2021 · Artificial Intelligence

Applying Graph Neural Networks for Financial Risk Control: A Case Study by Shuhe Technology

This article describes how Shuhe Technology leveraged graph neural networks to improve financial risk assessment by preparing massive relational graph data, selecting DGL as the development framework, designing a GraphSage‑GAT model, addressing data sparsity and imbalance, and achieving notable AUC gains over traditional methods.

AIGNNModeling
0 likes · 12 min read
Applying Graph Neural Networks for Financial Risk Control: A Case Study by Shuhe Technology
Baidu Geek Talk
Baidu Geek Talk
Nov 8, 2021 · Artificial Intelligence

Application of Intelligent Grading and Risk Assessment Models in Commercial Platforms

The article describes an intelligent grading and risk‑assessment framework for commercial platforms that unifies process control, feature mining, data collection, storage, strategy management, and annotation, enabling automated testing conversion with 94% accuracy, 90% recall, 8% conversion uplift, and surfacing dozens of bugs while supporting scalable, configurable deployment.

AIData PlatformQuality Model
0 likes · 13 min read
Application of Intelligent Grading and Risk Assessment Models in Commercial Platforms
Java Backend Technology
Java Backend Technology
Nov 7, 2021 · Artificial Intelligence

6 Must‑Try Open‑Source Projects to Boost Your Development Skills

This article introduces six intriguing open‑source projects—including an audio‑based keylogger, a high‑accuracy face‑recognition library, a TensorFlow.js video‑person removal tool, a Chinese kinship calculator, a Java Word template engine, and a sleek macOS Markdown editor—each with brief descriptions, screenshots, and usage examples.

AIJavaScriptPython
0 likes · 5 min read
6 Must‑Try Open‑Source Projects to Boost Your Development Skills
DataFunSummit
DataFunSummit
Nov 6, 2021 · Artificial Intelligence

Federated Learning for Financial Data Sharing: Compliance, Auditable Solutions, and Blockchain‑Enabled Marketplace

This article presents a comprehensive overview of how federated learning can be applied to financial data sharing, covering regulatory pressures, audit‑ready blockchain solutions, privacy‑preserving PSI techniques, incentive‑driven data marketplaces, and future directions for secure, compliant AI deployment in the finance sector.

AIBlockchainFederated Learning
0 likes · 10 min read
Federated Learning for Financial Data Sharing: Compliance, Auditable Solutions, and Blockchain‑Enabled Marketplace
Aotu Lab
Aotu Lab
Nov 5, 2021 · Frontend Development

How Deco Boosts Frontend Efficiency by 48% with AI‑Powered Design‑to‑Code

This article explains how the Deco platform uses AI and layout algorithms to automatically convert design drafts into reusable, semantic front‑end code, achieving around a 48% productivity gain during large‑scale e‑commerce events by streamlining UI reconstruction, component reuse, and data binding.

AIDSLdesign-to-code
0 likes · 16 min read
How Deco Boosts Frontend Efficiency by 48% with AI‑Powered Design‑to‑Code
Youzan Coder
Youzan Coder
Nov 5, 2021 · Artificial Intelligence

AI-Powered Image Recognition for Fresh Produce Retail: System Design and Implementation

An AI‑driven image‑recognition system using TensorFlow Lite cameras on checkout scales replaces barcode PLU lookup with hierarchical product categories, caches offline selections for incremental model updates, and delivers instant, offline‑capable identification, dramatically speeding fresh produce checkout, cutting labor costs, and offering a reusable framework for other retail sectors.

AIRetailTensorFlow
0 likes · 8 min read
AI-Powered Image Recognition for Fresh Produce Retail: System Design and Implementation
JD Tech
JD Tech
Nov 5, 2021 · Frontend Development

Deco Intelligent Code Project: Design‑to‑Code Solution for Frontend Development

This article details the Deco intelligent code project, which leverages AI and layout algorithms to transform design drafts into semantic, reusable frontend code, achieving around 48% efficiency gains during large‑scale e‑commerce events and outlining the full pipeline from design processing to DSL generation and future AI platform integration.

AIDSLdesign-to-code
0 likes · 14 min read
Deco Intelligent Code Project: Design‑to‑Code Solution for Frontend Development
Baidu Maps Tech Team
Baidu Maps Tech Team
Nov 3, 2021 · Artificial Intelligence

How AI Predicts Real-Time Parking Availability Without Sensors

This article explains how Baidu Maps leverages AI and spatio‑temporal big‑data to predict real‑time parking space availability for sensor‑less lots, detailing the overall approach, feature engineering, grid computation, real‑time feature calculation, and a multi‑branch deep learning model validated at KDD.

AIDeep LearningParking Prediction
0 likes · 13 min read
How AI Predicts Real-Time Parking Availability Without Sensors
DataFunTalk
DataFunTalk
Nov 3, 2021 · Artificial Intelligence

Deep Learning for Time‑Series Modeling in Financial Risk Management

This article describes how a financial company leveraged deep‑learning sequence models to automatically extract features from massive time‑series data, improving risk‑assessment models and operational efficiency through a unified framework that includes data preprocessing, embedding, field and item aggregation, and end‑to‑end deployment.

AIDeep LearningModeling
0 likes · 10 min read
Deep Learning for Time‑Series Modeling in Financial Risk Management
DataFunSummit
DataFunSummit
Nov 2, 2021 · Artificial Intelligence

Applying Deep Learning to Time Series Data for Financial Risk Modeling

This article explains how a financial company leverages deep learning sequence models, including embedding, attention, and transformer techniques, to automatically extract features from massive time‑series data, improve risk model performance, and build a reusable, end‑to‑end system framework.

AIEmbeddingattention
0 likes · 8 min read
Applying Deep Learning to Time Series Data for Financial Risk Modeling
DataFunTalk
DataFunTalk
Nov 2, 2021 · Artificial Intelligence

Optimizing AI Platform Resource Efficiency: Scheduling Strategies for Deep Learning Inference and Training

The article outlines a technical exchange hosted by 58.com AI Lab and Tianjin University that discusses high‑efficiency AI computing, resource‑aware scheduling for both online inference and offline training, and methods to mitigate GPU under‑utilization and gray‑interference in distributed deep‑learning platforms.

AIGPU utilizationInference
0 likes · 4 min read
Optimizing AI Platform Resource Efficiency: Scheduling Strategies for Deep Learning Inference and Training
NetEase Smart Enterprise Tech+
NetEase Smart Enterprise Tech+
Nov 1, 2021 · Artificial Intelligence

How AI is Transforming Real-Time Audio Communication: Challenges and Solutions

This article explores the evolution of AI audio algorithms in real‑time communication, detailing current trends, technical hurdles such as computational complexity and data scarcity, and practical solutions including lightweight models, data augmentation, and hybrid AI‑traditional pipelines, illustrated with real‑world NetEase Cloud IM case studies.

AIAudio ProcessingVoice Activity Detection
0 likes · 18 min read
How AI is Transforming Real-Time Audio Communication: Challenges and Solutions
ByteDance SE Lab
ByteDance SE Lab
Oct 29, 2021 · Artificial Intelligence

What Is a Knowledge Graph? From Basics to Embedding Techniques

This article introduces knowledge graphs, defining them as semantic networks or multi‑relational graphs, explains entities and relations, compares RDF and graph‑database storage, outlines construction steps including entity extraction and ontology building, reviews embedding models like TransE/H/R/D, and explores applications in search, finance, recommendation, and language models.

AIgraph embeddinginformation retrieval
0 likes · 22 min read
What Is a Knowledge Graph? From Basics to Embedding Techniques
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 28, 2021 · Artificial Intelligence

Alibaba’s ‘Good Tech’: AI for Inclusion, Sustainability & Open Innovation

In his 2021 Cloud Conference keynote, Alibaba CTO Cheng Li outlines the company’s vision of “good technology,” emphasizing AI-driven solutions that benefit everyone, assume responsibility, and promote open sharing—from sign‑language translation and dementia screening to green computing, zero‑carbon cloud and open‑source initiatives.

AIDigital InclusionOpen Innovation
0 likes · 13 min read
Alibaba’s ‘Good Tech’: AI for Inclusion, Sustainability & Open Innovation
Aotu Lab
Aotu Lab
Oct 28, 2021 · Fundamentals

Exploring HarmonyOS ACE UI, React useEffect Pitfalls, Three.js 3D, and AI Basics

This issue presents deep dives into HarmonyOS ACE UI architecture, common infinite-loop pitfalls of React’s useEffect hook, a Three.js tutorial for building a 3D room, an introductory guide to graph neural networks, and a fundamentals‑focused machine‑learning primer, offering practical insights across front‑end, graphics, and AI domains.

AIHarmonyOSReact
0 likes · 6 min read
Exploring HarmonyOS ACE UI, React useEffect Pitfalls, Three.js 3D, and AI Basics
ByteDance Terminal Technology
ByteDance Terminal Technology
Oct 26, 2021 · Mobile Development

Fastbot: Cross‑Platform Intelligent Automated Testing System for Android and iOS

This article details ByteDance’s Fastbot system, an AI‑driven cross‑platform automated testing framework for Android and iOS that leverages model‑based testing, reinforcement learning, and image‑based UI analysis to improve test coverage, fault injection, and scalability across mobile applications and games.

AIReinforcement Learningcross‑platform
0 likes · 36 min read
Fastbot: Cross‑Platform Intelligent Automated Testing System for Android and iOS
Tencent Advertising Technology
Tencent Advertising Technology
Oct 26, 2021 · Artificial Intelligence

Seventh China International 'Internet+' College Student Innovation and Entrepreneurship Competition: Virtual IP Innovation Track and Tencent Advertising's Virtual Human Creative Service

The article reports on the seventh China International 'Internet+' College Student Innovation and Entrepreneurship Competition, highlighting its new industry challenge track focused on virtual IP, the award-winning solution from Beijing Institute of Technology using AI-driven digital human production, and Tencent Advertising's virtual human creative service for marketing.

AIDigital HumanInnovation Competition
0 likes · 6 min read
Seventh China International 'Internet+' College Student Innovation and Entrepreneurship Competition: Virtual IP Innovation Track and Tencent Advertising's Virtual Human Creative Service
DevOps
DevOps
Oct 25, 2021 · Artificial Intelligence

Gartner 2022 Strategic Technology Trends: Generative AI, Data Fabric, Cloud‑Native Platforms and More

Gartner’s 2022 strategic technology trends highlight the rise of generative AI, data fabric, distributed enterprises, cloud‑native platforms, autonomic systems, decision intelligence, composable applications, hyperautomation, privacy‑enhancing computation, cybersecurity mesh, AI engineering and total experience as key drivers for growth and resilience in modern enterprises.

AICloud NativeData Fabric
0 likes · 9 min read
Gartner 2022 Strategic Technology Trends: Generative AI, Data Fabric, Cloud‑Native Platforms and More
DataFunTalk
DataFunTalk
Oct 22, 2021 · Artificial Intelligence

Applying AI Techniques to Credit Reporting and Risk Modeling: Model Structure, Pre‑training, Ranking and Interpretability

This article presents a comprehensive overview of how AI technologies are applied to credit reporting and loan risk modeling, detailing data characteristics, end‑to‑end model architectures, pre‑training strategies, risk‑ranking methods, and interpretability techniques for financial risk assessment.

AIInterpretabilityModel Optimization
0 likes · 17 min read
Applying AI Techniques to Credit Reporting and Risk Modeling: Model Structure, Pre‑training, Ranking and Interpretability
DataFunSummit
DataFunSummit
Oct 22, 2021 · Artificial Intelligence

Applying AI Techniques to Credit Reporting and Risk Modeling

This article presents a comprehensive overview of how AI technologies are applied to credit reporting, covering data characteristics, end‑to‑end model architectures, pre‑training strategies, risk ranking objectives, and interpretability methods to improve financial risk assessment.

AIInterpretabilityModel Optimization
0 likes · 16 min read
Applying AI Techniques to Credit Reporting and Risk Modeling
MaGe Linux Operations
MaGe Linux Operations
Oct 19, 2021 · Artificial Intelligence

10 Exciting Python Projects to Boost Your AI and Automation Skills

Explore ten innovative Python project ideas—from voice‑controlled GUIs and AI betting bots to trading algorithms, virtual assistants, SSL auto‑renewal, facial recognition, contact‑tracing, file organization, and YouTube‑based career path generators—each designed to sharpen your programming, AI, and automation expertise.

AIPythonmachine learning
0 likes · 12 min read
10 Exciting Python Projects to Boost Your AI and Automation Skills
DataFunTalk
DataFunTalk
Oct 16, 2021 · Artificial Intelligence

Feature Extraction and Modeling of Voice and Text Data for Post‑Loan Management

This article presents practical experiences in post‑loan management, detailing how to extract descriptive and deep‑learning features from voice recordings and textual transcripts, apply traditional signal processing, keyword and TF‑IDF methods, and build CRNN and transformer models to predict repayment behavior.

AIDeep Learningmachine learning
0 likes · 19 min read
Feature Extraction and Modeling of Voice and Text Data for Post‑Loan Management
Alibaba Cloud Developer
Alibaba Cloud Developer
Oct 15, 2021 · Operations

How Unified Observability Transforms Quality Management in Cloud‑Native Environments

This article explores the challenges of quality monitoring in cloud‑native DevOps pipelines, outlines pain points of massive heterogeneous logs and alerts, and presents a unified observability platform that enables data consolidation, AI‑driven intelligent inspection, and smart alert management to improve system reliability.

AIAlertingData Unification
0 likes · 17 min read
How Unified Observability Transforms Quality Management in Cloud‑Native Environments
Meituan Technology Team
Meituan Technology Team
Oct 14, 2021 · Artificial Intelligence

LargeFineFoodAI: ICCV 2021 Food Vision Seminar and Challenge Overview

The ICCV 2021 LargeFineFoodAI online seminar, co‑hosted by Meituan Vision Intelligence, CAS Computing Institute, Beijing Zhiyuan and the University of Barcelona, featured talks on personalized food models, multimedia dietary guidance, and uncertainty‑aware recognition, introduced a 1,000‑category, 500k‑image dataset, and ran a challenge with 143 teams competing in fine‑grained food recognition and retrieval, highlighting top‑ranked entries from Joyy‑cv, NJUST‑PCALab, OPPO, DeepBlueAI and others.

AIChallengeDataset
0 likes · 6 min read
LargeFineFoodAI: ICCV 2021 Food Vision Seminar and Challenge Overview
Amap Tech
Amap Tech
Oct 14, 2021 · Artificial Intelligence

CCF Big Data & Computing Intelligence Contest – POI Name Generation Challenge

The 9th CCF Big Data & Computing Intelligence Contest partners with Gaode Map to launch a POI Name Generation challenge, requiring participants to fuse image, signboard detection, and OCR data to automatically produce accurate, fluent place names, with a ¥50,000 prize pool, weekly vouchers, and recruitment opportunities for global teams.

AINLPPOI
0 likes · 7 min read
CCF Big Data & Computing Intelligence Contest – POI Name Generation Challenge
Kuaishou Tech
Kuaishou Tech
Oct 12, 2021 · Artificial Intelligence

Concept‑aware Denoising Graph Neural Network (CONDE) for Short Video Recommendation

CONDE, a concept‑aware denoising graph neural network proposed by Wuhan University and Kuaishou, leverages heterogeneous three‑part graphs, attention‑based graph convolutions, and Gumbel‑Softmax‑driven edge sampling to filter noisy user‑video interactions, achieving up to 6 % AUC improvement on short‑video and e‑commerce recommendation tasks.

AIDenoisingGraph Neural Network
0 likes · 10 min read
Concept‑aware Denoising Graph Neural Network (CONDE) for Short Video Recommendation
DataFunTalk
DataFunTalk
Oct 12, 2021 · Artificial Intelligence

Intelligent Grading: Technical Exploration and Practice in AI‑Powered Education

This presentation by Tencent senior researcher Li Chao outlines the background, typical challenges, and multi‑layer technical solutions for intelligent grading in education, covering AI‑driven classroom, homework, review, and exam scenarios, multimodal spell‑checking, essay evaluation, and adaptive learning pipelines.

AIEducation TechnologyEssay Evaluation
0 likes · 25 min read
Intelligent Grading: Technical Exploration and Practice in AI‑Powered Education
DataFunSummit
DataFunSummit
Oct 12, 2021 · Artificial Intelligence

Intelligent Grading: Technical Exploration and Practice in AI‑Powered Education

This article presents a comprehensive overview of AI‑driven intelligent grading technologies, covering background, typical educational challenges, multimodal NLP solutions for essay, spelling and grammar correction, adaptive learning, and related research, illustrating how deep learning and multimodal models improve automated assessment across K‑12 scenarios.

AIEducation TechnologyEssay Scoring
0 likes · 24 min read
Intelligent Grading: Technical Exploration and Practice in AI‑Powered Education
21CTO
21CTO
Oct 10, 2021 · Operations

2021 Uptime Institute Survey: Data Center Sustainability & Reliability Trends

The 2021 Uptime Institute Global Data Center Survey, based on responses from over 800 operators and owners worldwide, highlights growing sustainability concerns, decreasing outage frequency, persistent challenges in water usage and emissions tracking, the impact of AI, supply‑chain disruptions, and rising rack density trends.

AISupply ChainSustainability
0 likes · 9 min read
2021 Uptime Institute Survey: Data Center Sustainability & Reliability Trends
iQIYI Technical Product Team
iQIYI Technical Product Team
Oct 9, 2021 · Big Data

Exploring iQIYI’s Unified Big Data + AI Architecture: Challenges, Solutions, and Future Directions

iQIYI’s unified big‑data + AI platform combines a hybrid‑cloud model, storage‑compute separation via its QBFS virtual file system, a reusable feature‑store and operator DAGs, and multi‑tenant YARN scheduling to overcome legacy Hive/Spark bottlenecks, accelerate large‑scale model training, improve data quality, and prepare for future real‑time, privacy‑preserving AI workloads.

AIdistributed computinghybrid cloud
0 likes · 10 min read
Exploring iQIYI’s Unified Big Data + AI Architecture: Challenges, Solutions, and Future Directions
DataFunTalk
DataFunTalk
Oct 9, 2021 · Artificial Intelligence

CNCC2021 Technical Forum: Knowledge Graphs Empowering Digital Transformation

The CNCC2021 Technical Forum, held from October 28‑30 in Shenzhen, gathers leading experts to discuss knowledge graph construction, large‑scale federated training, cloud‑edge integrated platforms, and trustworthiness, offering insights into how knowledge graphs drive digital transformation across industries.

AICNCC2021conference
0 likes · 15 min read
CNCC2021 Technical Forum: Knowledge Graphs Empowering Digital Transformation
DataFunTalk
DataFunTalk
Oct 8, 2021 · Artificial Intelligence

Graph Computing for Financial Credit Risk Control: Architecture, Challenges, and Lessons Learned

This article explores how graph computing is applied to financial credit risk and anti‑fraud, detailing the business background, terminology, stakeholder roles, system requirements, architectural evolution across three phases, practical challenges, and key take‑aways for building stable, timely, accurate, and controllable graph‑based risk models.

AIfinancial riskfraud detection
0 likes · 14 min read
Graph Computing for Financial Credit Risk Control: Architecture, Challenges, and Lessons Learned
DataFunSummit
DataFunSummit
Oct 8, 2021 · Artificial Intelligence

Graph Computing for Financial Credit Risk Control and Anti‑Fraud: Architecture, Challenges, and Lessons Learned

This article examines how graph computing is applied to financial credit risk management and anti‑fraud, covering business background, key credit terminology, stakeholder roles, graph‑based fraud detection techniques, system architecture evolution across three development stages, practical requirements such as stability, timeliness, accuracy and controllability, and summarizes operational insights.

AIanti-fraudgraph computing
0 likes · 16 min read
Graph Computing for Financial Credit Risk Control and Anti‑Fraud: Architecture, Challenges, and Lessons Learned
DataFunTalk
DataFunTalk
Oct 5, 2021 · Artificial Intelligence

From Technology to Experience: Vivo Machine Translation Deployment Practice

This article presents a comprehensive guide to deploying machine translation at Vivo, covering business analysis, algorithm choices beyond standard NMT, language detection challenges, data collection and cleaning, scientific evaluation methods, and engineering optimizations to deliver a seamless user experience.

AIEngineeringNMT
0 likes · 20 min read
From Technology to Experience: Vivo Machine Translation Deployment Practice
MaGe Linux Operations
MaGe Linux Operations
Oct 4, 2021 · Artificial Intelligence

Build a Simple AI‑Powered Tetris Game with Python

This tutorial shows how to create a Tetris mini‑game with AI using a straightforward algorithm, Python 3.6, PyQt5, and detailed code that evaluates board states based on cleared lines, holes, heights, and other metrics to select optimal moves.

AIPyQt5Python
0 likes · 5 min read
Build a Simple AI‑Powered Tetris Game with Python
DataFunTalk
DataFunTalk
Oct 3, 2021 · Artificial Intelligence

Human‑Machine Coupling in Residential Services: AI‑Driven Quality Improvement at Beike

This article examines how Beike, a leading residential service platform, leverages human‑machine coupling across five AI integration levels to precisely characterize, control, and enhance service quality, using classification‑elevation‑allocation models, feedback‑based control, task scheduling optimization, and an intelligent training ground powered by a custom pre‑trained model.

AIHuman-Machine InteractionResidential Services
0 likes · 17 min read
Human‑Machine Coupling in Residential Services: AI‑Driven Quality Improvement at Beike
Aotu Lab
Aotu Lab
Sep 30, 2021 · Artificial Intelligence

Bringing AI to the Browser: Edge Intelligence, Frameworks & Model Compression

This article explains how AI is extending into front‑end development, defines edge AI, outlines its application scenarios, discusses advantages and limitations, reviews web‑based inference frameworks and hardware acceleration, and details model compression techniques for deploying AI directly in browsers.

AITensorFlow.jsWeb
0 likes · 15 min read
Bringing AI to the Browser: Edge Intelligence, Frameworks & Model Compression
Kuaishou Tech
Kuaishou Tech
Sep 30, 2021 · Fundamentals

Evolution of Real‑Time Communication (RTC) Technology: From MCU to Global Cloud RTC

This article traces the 25‑year evolution of real‑time communication (RTC) across five generations—from the early MCU era to P2P, SFU, cloud‑SFU, and the current global cloud RTC stage—highlighting key protocols, architectural shifts, advantages, drawbacks, and emerging AI‑driven media processing techniques.

AINetwork ProtocolsRTC
0 likes · 26 min read
Evolution of Real‑Time Communication (RTC) Technology: From MCU to Global Cloud RTC
DataFunTalk
DataFunTalk
Sep 30, 2021 · Artificial Intelligence

Advances in Knowledge Graph Construction and Applications by Alibaba's AliMe Team

This article presents Alibaba's AliMe team's year‑long progress on knowledge graph research, covering the fundamentals of knowledge graphs, domain and multimodal graph construction techniques, practical e‑commerce applications such as dialogue‑driven recommendation, virtual‑anchor script generation, and insights on future directions.

AIMultimodaldialogue system
0 likes · 23 min read
Advances in Knowledge Graph Construction and Applications by Alibaba's AliMe Team
DataFunSummit
DataFunSummit
Sep 29, 2021 · Artificial Intelligence

Construction and Application of Retail Product Knowledge Graph at Meituan

This article describes how Meituan builds a multi‑level, multi‑dimensional retail product knowledge graph to support new‑retail scenarios, detailing its architecture, data acquisition challenges, labeling pipelines, attribute extraction methods, efficiency improvements, human‑machine collaboration, and downstream search and recommendation applications.

AIMeituanRetail
0 likes · 25 min read
Construction and Application of Retail Product Knowledge Graph at Meituan
Amap Tech
Amap Tech
Sep 28, 2021 · Artificial Intelligence

Fundamentals of Autonomous Driving: Principles, Levels, Hardware, Software, and Industry Trends

Autonomous driving combines real‑time sensor perception, AI‑driven decision making, and electronic control to navigate vehicles, with hardware such as cameras, LiDAR, and chips from firms like Mobileye and NVIDIA, software stacks covering mapping, localization, planning, and safety standards, progressing from Level 1 assistance to full Level 5 autonomy while reshaping transportation through electrification, sharing, connectivity, and supportive policies.

AIautomotive technologyautonomous driving
0 likes · 21 min read
Fundamentals of Autonomous Driving: Principles, Levels, Hardware, Software, and Industry Trends
Python Programming Learning Circle
Python Programming Learning Circle
Sep 27, 2021 · Artificial Intelligence

Training Reinforcement Learning Agents on Street Fighter III Using a MAME Wrapper Python Library

This tutorial explains how to install and use a Python library that wraps the MAME emulator to train reinforcement‑learning agents on arcade games such as Street Fighter III, covering system requirements, installation, environment configuration, debugging, step‑wise simulation, and a simple ConvNet agent example.

AIMAMEPython
0 likes · 4 min read
Training Reinforcement Learning Agents on Street Fighter III Using a MAME Wrapper Python Library
FunTester
FunTester
Sep 26, 2021 · Operations

MTSC2021 Shenzhen Conference – Overview, Registration Details, and Confirmed Topics

The MTSC2021 Shenzhen conference, a premier software testing summit organized by TesterHome, will be held on November 19‑20, 2021 at the Dongxi Road International Hotel in Shenzhen, offering registration information, audience guidance, participant benefits, and a comprehensive list of confirmed and candidate technical topics covering testing, DevOps, AI, cloud, and game development.

AISoftware TestingTestOps
0 likes · 11 min read
MTSC2021 Shenzhen Conference – Overview, Registration Details, and Confirmed Topics
DataFunTalk
DataFunTalk
Sep 24, 2021 · Artificial Intelligence

Intelligent Question Answering in QQ Browser Search Engine: KBQA, DeepQA, and IRQA

This article presents the architecture, techniques, and practical solutions behind intelligent question answering in QQ Browser's search engine, covering knowledge‑graph based QA (KBQA), machine‑reading‑comprehension QA (DeepQA), and information‑retrieval QA (IRQA), and discusses system design, model optimization, and future directions.

AIinformation retrievalknowledge graph
0 likes · 23 min read
Intelligent Question Answering in QQ Browser Search Engine: KBQA, DeepQA, and IRQA
DataFunTalk
DataFunTalk
Sep 21, 2021 · Artificial Intelligence

Text Recognition Techniques for Content Safety: Risks, Workflow, Algorithms, and Deployment Optimization

This article explains how OCR-based text recognition is applied to content safety, detailing common risk categories, a step‑by‑step detection and recognition pipeline, mainstream detection and recognition algorithms such as regression‑based and segmentation‑based methods, and practical deployment and performance optimization strategies.

AIContent SafetyOCR
0 likes · 15 min read
Text Recognition Techniques for Content Safety: Risks, Workflow, Algorithms, and Deployment Optimization
DataFunSummit
DataFunSummit
Sep 20, 2021 · Artificial Intelligence

Graph Algorithm Applications in Douyu Live Stream Anti‑Cheat: Architecture, Evolution, Modeling, and Case Studies

This article explains how Douyu leverages graph algorithms for live‑stream traffic anti‑cheat, detailing the platform’s risk scenarios, the overall graph architecture, its evolution, modeling workflow, practical case studies, and the resulting improvements in fraud detection and interpretability.

AIRisk Modelinganti-cheat
0 likes · 16 min read
Graph Algorithm Applications in Douyu Live Stream Anti‑Cheat: Architecture, Evolution, Modeling, and Case Studies
DataFunTalk
DataFunTalk
Sep 18, 2021 · Artificial Intelligence

Unsupervised Algorithms for Fraud Detection in Huya's Risk Control System

This article presents Huya's exploration of unsupervised learning techniques for risk control, detailing business risk scenarios, black‑market attack vectors, limitations of traditional defenses, and the design, implementation, and evaluation of graph‑based and density‑based clustering methods to automatically discover and mitigate fraudulent user groups.

AIHuyaUnsupervised Learning
0 likes · 11 min read
Unsupervised Algorithms for Fraud Detection in Huya's Risk Control System
DataFunSummit
DataFunSummit
Sep 15, 2021 · Information Security

Intelligent Risk Control in Live Streaming: Algorithm Architecture and Practice at Douyu

This article presents Douyu's intelligent risk‑control system for live streaming, detailing the security challenges, a multi‑layer algorithm architecture covering content, user‑behavior, gang and device risks, the evolution of models for spam detection, risk scoring, gang identification, sequence analysis, and device fingerprinting, and discusses practical solutions and interpretability techniques.

AIfraud detectionlive streaming
0 likes · 12 min read
Intelligent Risk Control in Live Streaming: Algorithm Architecture and Practice at Douyu
Alimama Tech
Alimama Tech
Sep 15, 2021 · Artificial Intelligence

Alibaba Mama Open‑sources Curvature Learning Framework and Federated Learning Solution

Alibaba Mama announced the open‑source release of its Curvature Space Learning Framework and a Federated Learning Solution, promising up to 80% storage savings, 15% matching‑precision gains, enhanced privacy through federated computation, and broader applicability across search advertising, logistics, finance and healthcare.

AICurvature Learninggraph neural networks
0 likes · 8 min read
Alibaba Mama Open‑sources Curvature Learning Framework and Federated Learning Solution
Volcano Engine Developer Services
Volcano Engine Developer Services
Sep 14, 2021 · Artificial Intelligence

How ByteDance’s AI Lab is Revolutionizing Intelligent Speech for Content Creation

ByteDance’s AI‑Lab leader Dr Yin Xiang discusses how the company’s intelligent speech technologies—spanning voice synthesis, recognition, and multimodal interaction—have been integrated across its global content platforms since 2017, boosting productivity in short videos, audiobooks, education, and more.

AIByteDanceSpeech synthesis
0 likes · 13 min read
How ByteDance’s AI Lab is Revolutionizing Intelligent Speech for Content Creation
IT Architects Alliance
IT Architects Alliance
Sep 13, 2021 · Industry Insights

Why Hyper‑Converged Data Center Networks Are the Future of AI‑Driven Infrastructure

The article analyzes how AI‑driven workloads, exploding storage and compute capabilities, and distributed architectures expose the limits of traditional three‑network data‑center designs, and explains why a lossless, hyper‑converged Ethernet network with zero‑loss, low‑latency, high‑throughput characteristics is becoming essential.

AIHyper-Converged NetworkRDMA
0 likes · 12 min read
Why Hyper‑Converged Data Center Networks Are the Future of AI‑Driven Infrastructure
DataFunSummit
DataFunSummit
Sep 12, 2021 · Artificial Intelligence

Algorithmic Practices in Haola Ride-Sharing: Platform Infrastructure, Matching Recommendation Engine, Transaction Governance, and Intelligent Marketing

This article details Haola's end‑to‑end algorithmic ecosystem for its ride‑sharing service, covering the machine‑learning platform built on Hadoop/YARN, the architecture and evolution of the matching recommendation engine, transaction‑ecosystem governance models, and intelligent marketing strategies including uplift modeling and optimization.

AIRecommendation EngineRide-sharing
0 likes · 19 min read
Algorithmic Practices in Haola Ride-Sharing: Platform Infrastructure, Matching Recommendation Engine, Transaction Governance, and Intelligent Marketing
Architects' Tech Alliance
Architects' Tech Alliance
Sep 10, 2021 · Artificial Intelligence

FPGA Technology for Compute‑Intensive and Communication‑Intensive Tasks in Data Centers

The article examines how FPGA’s pipeline parallel architecture provides latency‑critical advantages over CPU and GPU for both compute‑intensive workloads such as matrix operations and AI inference, and communication‑intensive tasks like encryption and high‑throughput networking, while also discussing deployment models, power efficiency, eFPGA trends, and the evolving Chinese FPGA market.

AICompute AccelerationFPGA
0 likes · 14 min read
FPGA Technology for Compute‑Intensive and Communication‑Intensive Tasks in Data Centers
21CTO
21CTO
Sep 7, 2021 · Artificial Intelligence

Designing Effective Short‑Video Recommendation Systems: Goals, Multi‑Objective Modeling, and Long‑Term Value

This article examines the rapid growth of short‑video platforms, outlines the core problems a recommendation system must solve for users, creators, and advertisers, describes the end‑to‑end pipeline, explores multi‑objective modeling and fusion techniques, and discusses long‑term value estimation for sustained user engagement.

AIlong-term valuemulti-objective ranking
0 likes · 8 min read
Designing Effective Short‑Video Recommendation Systems: Goals, Multi‑Objective Modeling, and Long‑Term Value
DataFunTalk
DataFunTalk
Sep 7, 2021 · Artificial Intelligence

Intelligent Risk Control Practices and Architecture at Shumei Technology

This article presents Shumei Technology's comprehensive intelligent risk control solution, detailing the fraud landscape, challenges, a full-stack architecture—including device, behavior, and group detection, profiling, operational workflows, AI models, and real-time deployment—along with practical case studies in banking and live‑streaming platforms.

AIfraud detectionreal-time architecture
0 likes · 25 min read
Intelligent Risk Control Practices and Architecture at Shumei Technology
DataFunTalk
DataFunTalk
Sep 2, 2021 · Artificial Intelligence

Meituan Intelligent Customer Service: Technical Practices and Core Technologies

This article presents Meituan's intelligent customer service practice, covering background, six core AI capabilities such as problem recommendation, understanding, dialogue management, answer supply, script recommendation, and conversation summarization, as well as the Moses dialogue platform and future research directions.

AIDialogue SystemsIntelligent Customer Service
0 likes · 22 min read
Meituan Intelligent Customer Service: Technical Practices and Core Technologies
Meituan Technology Team
Meituan Technology Team
Sep 2, 2021 · Artificial Intelligence

Construction and Application of Retail Product Knowledge Graph at Meituan

The paper describes Meituan’s retail product knowledge graph—a multi‑layered, multi‑modal system that structures billions of SKUs, attributes, and user insights using hierarchical categories, graph‑enhanced NER, semi‑supervised learning, and expert‑in‑the‑loop validation, enabling precise search, ranking, recommendation, and real‑time merchant optimization.

AIMultimodalRetail
0 likes · 25 min read
Construction and Application of Retail Product Knowledge Graph at Meituan
Tencent Cloud Developer
Tencent Cloud Developer
Sep 2, 2021 · Artificial Intelligence

Tetris AI and Hand‑Play Strategies in the Tencent Geek Challenge – Technical Report

In the Tencent Geek Challenge, Wang Haosheng leveraged a custom Tetris simulator and intensive hand‑play—enhanced with limited AI tools—to clear all 10,000 blocks, achieving 1.179 million points and third place, illustrating that manual strategy outperformed the AI despite extensive competition and technical analysis.

AITetriscompetition
0 likes · 9 min read
Tetris AI and Hand‑Play Strategies in the Tencent Geek Challenge – Technical Report
DataFunTalk
DataFunTalk
Aug 30, 2021 · Artificial Intelligence

Contrastive Learning: Foundations, Typical Models, and Applications to Weibo Content Representation

This article explains the concept of contrastive learning, its relationship to self‑supervised and metric learning, describes key system components and loss functions, reviews major image, NLP and multimodal models such as SimCLR, MoCo, SwAV, BYOL, and demonstrates how contrastive learning is applied to Weibo hashtag generation, similar‑post retrieval, and text‑image matching using CD‑TOM and W‑CLIP models.

AIMultimodalWeibo
0 likes · 19 min read
Contrastive Learning: Foundations, Typical Models, and Applications to Weibo Content Representation
Baidu Geek Talk
Baidu Geek Talk
Aug 30, 2021 · Artificial Intelligence

Baidu Credibility Certification Platform: Architecture, Core Capabilities, and Technical Design

Baidu Credibility Certification Platform is an AI‑powered verification service that offers unified authentication, qualification certification, workflow orchestration, and intelligent document validation for enterprises, institutions, and individuals, built on a mid‑platform architecture with shared components and future plans to expand content and service certification.

AIBaiduBig Data
0 likes · 15 min read
Baidu Credibility Certification Platform: Architecture, Core Capabilities, and Technical Design
dbaplus Community
dbaplus Community
Aug 28, 2021 · Artificial Intelligence

Is AI Really Intelligent? Exploring Machine Learning, Neural Networks & Deep Learning

The article demystifies AI by explaining that current artificial intelligence is merely automated computation, then walks through fundamental machine‑learning concepts such as exhaustive search, linear regression, neural‑network neurons, activation functions, network structures, training calculations, and concludes with a Python implementation of a three‑layer neural network.

AIDeep LearningNeural Networks
0 likes · 15 min read
Is AI Really Intelligent? Exploring Machine Learning, Neural Networks & Deep Learning
HelloTech
HelloTech
Aug 27, 2021 · Artificial Intelligence

Algorithm Testing Practices and Machine Learning Foundations at Hello

The Hello algorithm testing team outlines its workflow—from data collection and cleaning through model training, evaluation, and deployment—while teaching machine‑learning fundamentals, detailing company‑wide use cases, defining key terms, and describing four testing capability dimensions covering data quality, service reliability, model performance, and system engineering.

AIData QualityModel Evaluation
0 likes · 12 min read
Algorithm Testing Practices and Machine Learning Foundations at Hello
DataFunTalk
DataFunTalk
Aug 23, 2021 · Artificial Intelligence

Graph Data Analysis and Graph Neural Network Applications Across Multiple Scenarios

This article introduces graph fundamentals, various application scenarios such as science, code logic, Spark workflows, social networks, and event graphs, then details graph data modeling, analysis, matrix computations, and the deployment of graph neural networks using frameworks like DGL, highlighting practical engineering considerations.

AIDGLdata modeling
0 likes · 16 min read
Graph Data Analysis and Graph Neural Network Applications Across Multiple Scenarios
JD.com Experience Design Center
JD.com Experience Design Center
Aug 23, 2021 · Artificial Intelligence

How Generative Design Is Redefining the Designer’s Role with AI

This article explains how AI‑powered generative design transforms traditional design workflows by automating complex creations, enabling rapid iteration, highlighting both its efficiency gains and the paradox of too many choices, and showcases accessible online tools and striking artistic examples.

AIautomationcreative tools
0 likes · 5 min read
How Generative Design Is Redefining the Designer’s Role with AI