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Spring Full-Stack Practical Cases
Spring Full-Stack Practical Cases
May 30, 2026 · Backend Development

Auto‑Optimizing Resilience4j Circuit Breaker Settings with Spring AI

This article demonstrates how to replace static Resilience4j circuit‑breaker parameters in a Spring Boot 3.5 application with dynamically generated values using Spring AI, detailing environment setup, code examples, AI prompt construction, and runtime configuration replacement to improve fault tolerance.

Circuit BreakerSpring AISpring Boot
0 likes · 9 min read
Auto‑Optimizing Resilience4j Circuit Breaker Settings with Spring AI
ByteDance SE Lab
ByteDance SE Lab
Mar 2, 2026 · Industry Insights

How Real-Time 3D Digital Clones Stole the Show at the 2026 Spring Festival Gala

The 2026 Spring Festival Gala showcased a breakthrough spatial video system that creates lifelike 3D digital twins in real time, using a 70‑camera 4D reconstruction pipeline, AI‑enhanced rendering, and seamless integration with broadcast and lighting controls to achieve photorealistic, multi‑person performances.

4D reconstructionDigital Twinai-optimization
0 likes · 6 min read
How Real-Time 3D Digital Clones Stole the Show at the 2026 Spring Festival Gala
ByteDance Data Platform
ByteDance Data Platform
Feb 11, 2026 · Databases

How ByteHouse Redefines Real‑Time Multimodal Analytics with a Cloud‑Native Data Warehouse

ByteHouse, ByteDance's cloud‑native data warehouse, evolves from a traditional warehouse to a next‑generation AI‑ready platform that handles 800+ PB of data, supports 25,000 nodes, and delivers real‑time, multimodal analytics through a decoupled storage‑compute architecture, AI‑driven query optimization, and native vector search integration.

Cloud Nativeai-optimizationdatabases
0 likes · 9 min read
How ByteHouse Redefines Real‑Time Multimodal Analytics with a Cloud‑Native Data Warehouse
AntTech
AntTech
Oct 20, 2025 · Artificial Intelligence

How a Constraint-Aware Multi-Agent System Won the IJCAI Travel Planning Challenge

Leveraging a proprietary “large model + optimization” approach, Alibaba’s Ant Group and East China Normal University built a constraint-aware multi-agent framework that secured first place in the Original OS track and second in the DSL track of the IJCAI-2025 Autonomous Travel Planning Competition.

IJCAILarge Language ModelsTravel Planning
0 likes · 7 min read
How a Constraint-Aware Multi-Agent System Won the IJCAI Travel Planning Challenge
Qunar Tech Salon
Qunar Tech Salon
Oct 10, 2025 · Artificial Intelligence

Master Prompt Engineering: Proven Strategies to Optimize AI Model Performance

This article presents practical, step‑by‑step techniques for refining prompts used in large language model applications—covering intent detection, context enrichment, instruction compliance, model capability activation, and structural design—to dramatically improve accuracy, reduce hallucinations, and boost overall AI system reliability.

Chatbot Designai-optimizationmodel alignment
0 likes · 27 min read
Master Prompt Engineering: Proven Strategies to Optimize AI Model Performance
Data Thinking Notes
Data Thinking Notes
Oct 9, 2025 · Artificial Intelligence

Mastering Context Engineering: Boost LLM Agent Performance

Context Engineering, the evolution beyond Prompt Engineering, optimizes the selection and management of tokens within large language model windows, enabling high‑performance, autonomous AI agents through efficient system prompts, tool design, example selection, dynamic retrieval, compression, structured memory, and multi‑agent architectures.

Context EngineeringLLM Agentsai-optimization
0 likes · 19 min read
Mastering Context Engineering: Boost LLM Agent Performance
Data Party THU
Data Party THU
Aug 25, 2025 · Artificial Intelligence

How AI Accelerates Atom‑Array Assembly for Future Quantum Computers

Researchers at the University of Science and Technology of China have integrated artificial intelligence into a neutral‑atom quantum‑computing platform, dramatically speeding up the rearrangement of thousands of rubidium atoms and demonstrating a rapid‑assembly method that could scale quantum processors toward tens of thousands of qubits.

Quantum Computingai-optimizationlaser control
0 likes · 6 min read
How AI Accelerates Atom‑Array Assembly for Future Quantum Computers
Data Thinking Notes
Data Thinking Notes
Jul 20, 2025 · Artificial Intelligence

Mastering Context Engineering: Boost LLM Performance with Advanced Techniques

Context Engineering, a new discipline for optimizing large language model inputs, expands context windows, compares with prompt engineering, outlines core techniques like information organization, dynamic management, semantic retrieval, and offers practical applications and recommendations to enhance AI performance across domains.

Large Language ModelsPrompt Engineeringai-optimization
0 likes · 11 min read
Mastering Context Engineering: Boost LLM Performance with Advanced Techniques
DeWu Technology
DeWu Technology
Jul 16, 2025 · Artificial Intelligence

How We Built a Scalable Offline‑Online Sequence Modeling System for Community Search

This article details the design of a community‑search pipeline that leverages long‑term user interaction sequences for CTR/CVR prediction, describes the global, online and offline architectures, enumerates the major performance and consistency challenges encountered, and presents the practical optimizations and future directions adopted to achieve reliable, high‑throughput sequence modeling.

Data ConsistencySequence Modelingai-optimization
0 likes · 12 min read
How We Built a Scalable Offline‑Online Sequence Modeling System for Community Search
AsiaInfo Technology: New Tech Exploration
AsiaInfo Technology: New Tech Exploration
Jun 23, 2025 · Artificial Intelligence

How Generative Data‑Driven Model Distillation Boosts Large‑Model Performance and Cuts Compute

This article examines generative data‑driven model distillation as a technique that not only compresses large language models but also improves their accuracy, addresses data‑privacy constraints, and reduces computational costs, offering a practical roadmap and real‑world results from a corporate AI platform.

Knowledge TransferLarge Language ModelsMaaS platform
0 likes · 22 min read
How Generative Data‑Driven Model Distillation Boosts Large‑Model Performance and Cuts Compute
Architect's Guide
Architect's Guide
May 13, 2025 · Artificial Intelligence

DeepSeek Model Distillation Technology: Overview, Innovations, Architecture, Training, Performance, and Challenges

This article provides a comprehensive overview of DeepSeek's model distillation technology, detailing its definition, key innovations, architecture, training methods, performance gains, and the remaining challenges such as the implicit performance ceiling and multimodal data distillation.

DeepSeekKnowledge TransferLarge Language Models
0 likes · 14 min read
DeepSeek Model Distillation Technology: Overview, Innovations, Architecture, Training, Performance, and Challenges
JD Tech
JD Tech
May 6, 2025 · Artificial Intelligence

One4All Generative Recommendation Framework for CPS Advertising

This article reviews recent advances in applying large language models to CPS advertising recommendation, outlines business requirements and core technical challenges, proposes an extensible multi‑task generative framework with explicit intent perception and multi‑objective optimization, and presents offline and online performance gains along with future research directions.

CPS advertisingGenerative ModelsLLM
0 likes · 13 min read
One4All Generative Recommendation Framework for CPS Advertising
Mafengwo Technology
Mafengwo Technology
Apr 30, 2025 · Artificial Intelligence

How MaFengWo’s mfw-32B Travel LLM Outperforms DeepSeek‑R1 in Speed and Accuracy

The article details the development, training, and evaluation of MaFengWo's 32‑billion‑parameter travel large language model (mfw‑32B), highlighting its superior itinerary planning, personalized demand capture, budget management, and resource efficiency compared to DeepSeek‑R1, and describing the SFT and reinforcement‑learning stages that enabled these gains.

Large Language ModelLoRAai-optimization
0 likes · 14 min read
How MaFengWo’s mfw-32B Travel LLM Outperforms DeepSeek‑R1 in Speed and Accuracy
Beijing SF i-TECH City Technology Team
Beijing SF i-TECH City Technology Team
Apr 8, 2025 · Artificial Intelligence

Automatic Algorithm Design for Operations Optimization Using Large Language Models and Evolutionary Techniques

This document outlines how large language models can be combined with evolutionary algorithms such as genetic algorithms to automatically generate, evaluate, and iteratively improve operations‑optimization code for logistics, resource allocation, and staffing scenarios, reducing development cycles, enhancing adaptability, and achieving higher solution quality.

Large Modelsai-optimizationautomated-code-generation
0 likes · 21 min read
Automatic Algorithm Design for Operations Optimization Using Large Language Models and Evolutionary Techniques
Architect's Alchemy Furnace
Architect's Alchemy Furnace
Mar 31, 2025 · Artificial Intelligence

Which Model Quantization Wins? Deep Dive into q4_0, q5_K_M, and q8_0

An in‑depth technical analysis compares popular model quantization schemes—q4_0, q5_K_M, and q8_0—detailing their precision trade‑offs, memory savings, inference speed, hardware compatibility, and ideal use‑cases, complemented by performance benchmarks on Llama‑3‑8B and practical selection guidelines.

LLM PerformanceModel Quantizationai-optimization
0 likes · 7 min read
Which Model Quantization Wins? Deep Dive into q4_0, q5_K_M, and q8_0
JD Tech Talk
JD Tech Talk
Mar 24, 2025 · Artificial Intelligence

MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Ad Serving

This article presents MaRCA, a multi‑agent reinforcement learning framework that allocates computation resources across the full ad‑serving chain by modeling user value, compute consumption, and action rewards, enabling fine‑grained power‑tilting toward high‑quality traffic and achieving significant business gains under strict latency constraints.

ad servingai-optimizationcomputation allocation
0 likes · 16 min read
MaRCA: Multi‑Agent Reinforcement Learning Computation Allocation for Full‑Chain Ad Serving
Architects' Tech Alliance
Architects' Tech Alliance
Mar 11, 2025 · Artificial Intelligence

How DeepSeek’s Breakthrough AI Models Thrive on Huawei Ascend: A Deep Dive

An in‑depth analysis reveals how DeepSeek’s V3 and R1 large‑language models achieve superior inference performance and cost efficiency on Huawei’s Ascend AI platform, detailing architectural optimizations, KV‑Cache reductions, multimodal support, real‑world deployments across finance, government, manufacturing, and the projected impact on the AI industry.

DeepSeekHuawei AscendLarge Language Models
0 likes · 4 min read
How DeepSeek’s Breakthrough AI Models Thrive on Huawei Ascend: A Deep Dive
58 Tech
58 Tech
Mar 11, 2025 · Artificial Intelligence

Applying Large Language Models to Real Estate Recommendation: Case Studies and Optimization Techniques

This article presents a comprehensive case study on how large language models are integrated into 58.com’s real‑estate recommendation platform, detailing challenges, data adaptation, prompt and parameter optimizations, embedding generation, conversational recommendation, and future directions for multimodal and generative recommendation systems.

EmbeddingLarge Language ModelsPrompt Engineering
0 likes · 14 min read
Applying Large Language Models to Real Estate Recommendation: Case Studies and Optimization Techniques
Bilibili Tech
Bilibili Tech
Feb 25, 2025 · Artificial Intelligence

Design and Implementation of a Live Streaming Highlight System with AI Optimization

The paper details a live‑streaming highlight system that integrates heterogeneous data sources, uses a three‑stage pipeline with MySQL/Redis storage, applies sliding‑window interval optimization and AI‑driven title generation, scoring, and segment selection, managed by a shared state‑machine, and outlines future stability and observability improvements.

Backend ArchitectureHighlight SystemMySQL
0 likes · 22 min read
Design and Implementation of a Live Streaming Highlight System with AI Optimization
Su San Talks Tech
Su San Talks Tech
Feb 23, 2025 · Artificial Intelligence

How DeepSeek’s Distillation Breaks AI Model Limits: Core Principles & Performance

This article explores DeepSeek’s cutting‑edge distillation technology, detailing its definition, underlying principles, innovative data‑model fusion, architecture choices, training strategies, performance gains over large language models, and the remaining challenges in knowledge transfer and multimodal data processing.

DeepSeekKnowledge DistillationLarge Language Models
0 likes · 16 min read
How DeepSeek’s Distillation Breaks AI Model Limits: Core Principles & Performance
Architects' Tech Alliance
Architects' Tech Alliance
Feb 16, 2025 · Artificial Intelligence

How DeepSeek’s Distillation Breaks Bottlenecks and Boosts Multimodal AI Performance

This article provides an in‑depth technical analysis of DeepSeek’s model distillation technology, covering its core principles, innovative data‑model fusion strategies, architecture design, training optimizations, performance benchmarks, and the remaining challenges of scaling distillation to multimodal tasks.

DeepSeekLarge Language ModelsMultimodal
0 likes · 16 min read
How DeepSeek’s Distillation Breaks Bottlenecks and Boosts Multimodal AI Performance
Top Architect
Top Architect
Feb 14, 2025 · Artificial Intelligence

DeepSeek Model Distillation: Principles, Innovations, Architecture, and Performance

This article provides an in‑depth overview of DeepSeek’s model distillation technology, covering its definition, core principles, innovative data‑model distillation integration, architecture design, training strategies, performance gains, and the challenges of scaling to multimodal data.

DeepSeekKnowledge TransferLarge Language Models
0 likes · 16 min read
DeepSeek Model Distillation: Principles, Innovations, Architecture, and Performance
DevOps
DevOps
Feb 12, 2025 · Artificial Intelligence

A Comprehensive Guide to Prompt Engineering, RAG, and Optimization Techniques for Large Language Models

This article presents a systematic framework for crafting effective prompts, detailing the universal prompt template, role definition, task decomposition, RAG integration, few‑shot examples, memory handling, and parameter tuning to enhance large language model performance across diverse applications.

Prompt EngineeringPrompt TemplatesRAG
0 likes · 24 min read
A Comprehensive Guide to Prompt Engineering, RAG, and Optimization Techniques for Large Language Models
IT Architects Alliance
IT Architects Alliance
Feb 10, 2025 · Artificial Intelligence

DeepSeek Distillation Technology: Principles, Innovations, Performance, and Future Outlook

The article explains DeepSeek's model distillation technique, covering its fundamental knowledge‑transfer principles, unique innovations such as data‑model fusion and task‑specific strategies, impressive benchmark results, practical applications in edge and online inference, existing challenges, and future research directions.

Knowledge TransferLarge Language Modelsai-optimization
0 likes · 15 min read
DeepSeek Distillation Technology: Principles, Innovations, Performance, and Future Outlook
DataFunSummit
DataFunSummit
Feb 4, 2025 · Artificial Intelligence

Training Optimization for Large-Scale Multimodal Models in Content Safety

This article examines the challenges of content safety, outlines the limitations of current task‑specific multimodal models, and proposes large‑model‑inspired training optimizations—including diversified data construction, automated annotation, parameter fine‑tuning, and multi‑task evaluation—to improve efficiency, accuracy, and scalability of multimodal AI systems.

Content SafetyMultimodal Learningai-optimization
0 likes · 26 min read
Training Optimization for Large-Scale Multimodal Models in Content Safety
JD Cloud Developers
JD Cloud Developers
Jan 14, 2025 · Artificial Intelligence

How Generative Recommendation Systems Transform E‑Commerce with LLMs

This article explains how large language models reshape recommendation systems by simplifying pipelines, integrating world knowledge, and leveraging scaling laws, and details the engineering steps for deploying generative recall models—including product encoding, user prompting, model training, TensorRT‑LLM optimization, and continuous performance improvements.

Generative RecommendationLLMRecommendation Systems
0 likes · 13 min read
How Generative Recommendation Systems Transform E‑Commerce with LLMs
NewBeeNLP
NewBeeNLP
Feb 11, 2024 · Industry Insights

What 2023 Taught Us About LLMs and AI‑Guided Optimization

The author reviews a year of rapid progress in large language models, highlighting breakthrough papers such as Positional Interpolation, StreamingLLM, Deja Vu, and RLCD, and discusses how AI‑guided optimization techniques like SurCo, LANCER, and GenCo are reshaping research and industry applications.

LLMLarge Language ModelsTransformers
0 likes · 13 min read
What 2023 Taught Us About LLMs and AI‑Guided Optimization
DataFunTalk
DataFunTalk
Jan 4, 2024 · Artificial Intelligence

Using OpenLLM to Quickly Build and Deploy Large Language Model Applications

This presentation explains how OpenLLM, an open‑source LLM framework, together with BentoML, addresses the challenges of deploying large language models by offering model switching, memory optimizations, multi‑GPU support, observability, and easy containerized deployment for production AI applications.

BentoMLLLM deploymentOpenLLM
0 likes · 18 min read
Using OpenLLM to Quickly Build and Deploy Large Language Model Applications
AntTech
AntTech
Jan 3, 2024 · Cloud Native

Ant Group’s Green Computing Technology Recognized for Energy Efficiency and Carbon Reduction

The National Energy Center’s recent green computing evaluation highlighted Ant Group’s innovative cloud‑native scheduling, AI‑driven prediction, and offline mixed‑branch technologies that significantly improve data‑center energy efficiency, reduce carbon emissions, and demonstrate strong promotion value across major enterprises.

Data Centerai-optimizationcloud-native scheduling
0 likes · 4 min read
Ant Group’s Green Computing Technology Recognized for Energy Efficiency and Carbon Reduction
High Availability Architecture
High Availability Architecture
Jun 15, 2023 · Artificial Intelligence

InferX Inference Framework: Challenges, Architecture, Optimizations, and Triton Integration

The article presents the background, challenges, and objectives of Bilibili's AI services, introduces the self‑developed InferX inference framework with its quantization and sparsity optimizations, details OCR‑specific enhancements, and describes how integrating InferX with Nvidia Triton dramatically improves throughput, latency, and GPU utilization.

CUDAModel QuantizationOCR
0 likes · 10 min read
InferX Inference Framework: Challenges, Architecture, Optimizations, and Triton Integration
Kuaishou Large Model
Kuaishou Large Model
Mar 31, 2023 · Artificial Intelligence

How Kuaishou Elevates Video Quality and AI Performance at NVIDIA GTC 2023

At NVIDIA GTC 2023, Kuaishou engineers unveiled cutting‑edge solutions ranging from video quality assessment and enhancement, 3D digital‑human live streaming, a custom TensorRT‑based performance framework, large‑scale recommendation model acceleration, to multimodal massive‑model deployment for short‑video scenarios.

Recommendation SystemsTensorRTai-optimization
0 likes · 9 min read
How Kuaishou Elevates Video Quality and AI Performance at NVIDIA GTC 2023
Kuaishou Audio & Video Technology
Kuaishou Audio & Video Technology
Mar 30, 2023 · Artificial Intelligence

How Kuaishou Elevates Short‑Video Quality and AI Performance at NVIDIA GTC 2023

At NVIDIA GTC 2023, Kuaishou engineers presented cutting‑edge solutions ranging from video quality assessment and enhancement to digital‑human live streaming, custom performance‑optimization frameworks, large‑scale recommendation model acceleration, and multimodal massive‑model deployment for short‑video applications.

Multimodal Large Modelsai-optimizationdigital human
0 likes · 9 min read
How Kuaishou Elevates Short‑Video Quality and AI Performance at NVIDIA GTC 2023
DataFunTalk
DataFunTalk
Feb 20, 2023 · Artificial Intelligence

Low‑Cost Open‑Source Replication of ChatGPT Using Colossal‑AI

This article explains how researchers reproduced the full ChatGPT training pipeline—including supervised fine‑tuning, reward‑model training, and RLHF—using the open‑source Colossal‑AI system, dramatically reducing GPU memory and hardware requirements while providing ready‑to‑run code and performance benchmarks.

ChatGPTColossal-AIRLHF
0 likes · 10 min read
Low‑Cost Open‑Source Replication of ChatGPT Using Colossal‑AI
Alipay Experience Technology
Alipay Experience Technology
Nov 28, 2022 · Artificial Intelligence

Why Edge Intelligence Is Shaping the Future of Mobile Apps

This article explains the concept of edge intelligence, its advantages over cloud‑based AI, the technical challenges of deploying AI on mobile devices, Ant Group's development timeline, core technology stack, and future directions for edge‑cloud collaboration.

Edge AIai-optimizationmobile AI
0 likes · 10 min read
Why Edge Intelligence Is Shaping the Future of Mobile Apps
Architects' Tech Alliance
Architects' Tech Alliance
Sep 23, 2022 · Databases

Analysis of Chinese Database Product Strategies and Emerging Trends

This article summarizes recent Chinese database product strategy reports, outlining database definitions, management systems, design processes, product classifications, architectural layers, HTAP technology, compression methods, storage index structures, intelligent autonomous optimization, and deployment models, highlighting trends and future directions in the database industry.

Database ArchitectureHTAPai-optimization
0 likes · 8 min read
Analysis of Chinese Database Product Strategies and Emerging Trends
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Aug 12, 2022 · Artificial Intelligence

How AI Model Inference Optimization Boosted Address Standardization Speed by 4×

By applying high‑performance operators, quantization, and AI compiler optimizations with Alibaba Cloud PAI Blade and Intel Xeon back‑ends, the address‑standardization service’s deep‑learning models achieved up to 4.11× faster end‑to‑end inference without sacrificing accuracy, enabling more complex models and lower latency.

address standardizationai-optimizationhigh-performance operators
0 likes · 19 min read
How AI Model Inference Optimization Boosted Address Standardization Speed by 4×
NetEase Smart Enterprise Tech+
NetEase Smart Enterprise Tech+
Jun 14, 2022 · Artificial Intelligence

How Outbound Call Robots Work: Challenges and Optimizations in Voice Dialogue Systems

This article explains the architecture of outbound call robots, classifies dialogue system types, details pipeline and end‑to‑end task‑oriented designs, highlights technical challenges such as dialects and transcription errors, and presents optimization techniques like ASR correction and script improvement.

ASR correctionNLUai-optimization
0 likes · 12 min read
How Outbound Call Robots Work: Challenges and Optimizations in Voice Dialogue Systems
Tencent Cloud Developer
Tencent Cloud Developer
Apr 8, 2022 · Databases

Tencent Cloud Native Database AI Autonomy: SIGMOD Research and Intelligent Tuning System

Tencent Cloud’s native database team achieved a SIGMOD breakthrough by embedding AI into MySQL, creating an autonomous “database brain” that uses deep‑reinforcement learning, genetic pre‑heating and a closed‑loop learner/actor architecture to automatically observe, analyze, and tune diverse workloads, delivering rapid performance gains, anomaly detection, and self‑optimizing features while addressing adaptability, stability, and interpretability challenges.

CDBTuneDatabase AutonomyParameter Tuning
0 likes · 8 min read
Tencent Cloud Native Database AI Autonomy: SIGMOD Research and Intelligent Tuning System
DataFunTalk
DataFunTalk
Apr 1, 2022 · Operations

Integrated Digital Supply Chain: JD Logistics' Intelligent Planning, Algorithm Platform, and Digital Twin Practices

This article explores JD Logistics' integrated digital supply chain, detailing its evolution, the construction of an algorithm middle‑platform, engineering platforms, digital twin system, real‑world case studies, and future talent and ecosystem directions, illustrating how AI and big‑data technologies drive end‑to‑end logistics optimization.

Algorithm PlatformBig DataDigital Twin
0 likes · 16 min read
Integrated Digital Supply Chain: JD Logistics' Intelligent Planning, Algorithm Platform, and Digital Twin Practices
Ctrip Technology
Ctrip Technology
Sep 16, 2021 · Artificial Intelligence

Automated AI Model Optimization Platform for Travel Services

This article describes the design, automated workflow, functional modules, and performance results of a comprehensive AI model optimization platform built for Ctrip's travel business, covering operator libraries, graph optimization, model compression techniques such as distillation, quantization, pruning, and deployment integration.

AutoMLInference AccelerationModel Compression
0 likes · 16 min read
Automated AI Model Optimization Platform for Travel Services
ITFLY8 Architecture Home
ITFLY8 Architecture Home
Mar 15, 2021 · Operations

How Meituan Scales Instant Delivery with a Distributed Architecture

Meituan's instant logistics platform evolved over five years, adopting distributed, fault‑tolerant systems, AI‑driven optimization, and multi‑IDC strategies to handle massive order volumes, extreme traffic spikes, and stringent real‑time reliability requirements while continuously improving scalability and cost efficiency.

Distributed Systemsai-optimizationaiops
0 likes · 10 min read
How Meituan Scales Instant Delivery with a Distributed Architecture
JD Tech Talk
JD Tech Talk
Oct 9, 2020 · Artificial Intelligence

Dynamic Public Resource Allocation Based on Human Mobility Prediction

This article presents a method for dynamically deploying public resources such as trash bins using human mobility prediction, describing the problem background, challenges, a multi‑agent long‑term maximal coverage scheduling model, an energy‑adaptive heuristic, and experimental results showing up to 80% resource savings.

Dynamic Resource AllocationUrban Computingai-optimization
0 likes · 13 min read
Dynamic Public Resource Allocation Based on Human Mobility Prediction
Didi Tech
Didi Tech
Sep 25, 2020 · Artificial Intelligence

Demand‑Responsive Bus Service: Architecture, Business Model, and Scheduling Engine

DiDi’s demand‑responsive bus platform combines a three‑layer service model, static and dynamic scheduling, a VRP‑based matching engine, and an open API to deliver flexible, real‑time ride‑pooling across varied scenarios while reducing partner development costs and supporting recruitment of engineers.

Dynamic Routingai-optimizationdemand-responsive bus
0 likes · 14 min read
Demand‑Responsive Bus Service: Architecture, Business Model, and Scheduling Engine
Liangxu Linux
Liangxu Linux
Jan 18, 2020 · Fundamentals

Discover openEuler: Huawei’s Open‑Source OS and Its Community Projects

The article introduces openEuler, Huawei’s newly open‑sourced operating system, outlines its vision, key features, related projects like iSulad and A‑Tune, and provides direct links to the main and package repositories for developers interested in this Linux‑based platform.

ContainerOpen Sourceai-optimization
0 likes · 4 min read
Discover openEuler: Huawei’s Open‑Source OS and Its Community Projects
Alibaba Cloud Developer
Alibaba Cloud Developer
Nov 27, 2018 · Artificial Intelligence

How Alibaba Optimizes Campus‑Scale Face Recognition for 200K Daily Scans

Alibaba’s campus face‑recognition system, handling over 200,000 daily scans, combines hardware upgrades, software image‑quality management, algorithmic grouping, and database‑photo enhancements to cut mis‑recognition to 0.1%, illustrating large‑scale AI deployment in security and payment scenarios.

AlibabaSecurityai-optimization
0 likes · 7 min read
How Alibaba Optimizes Campus‑Scale Face Recognition for 200K Daily Scans
iQIYI Technical Product Team
iQIYI Technical Product Team
Jun 29, 2018 · Cloud Computing

Optimizing Video Playback Experience: Adaptive Bitrate, AI‑Driven ABS, and CDN Strategies from iQIYI

At the China Video Consumption User Experience Summit, iQIYI detailed how its AI‑driven adaptive bitrate streaming, proprietary HCDN architecture, hotspot prediction and AI‑upscaling technologies collectively reduce stalling, shift traffic away from peak periods, and deliver higher‑quality, cost‑effective playback across devices, from standard video to 8K VR.

CDNVideo Streamingadaptive bitrate
0 likes · 10 min read
Optimizing Video Playback Experience: Adaptive Bitrate, AI‑Driven ABS, and CDN Strategies from iQIYI