edge AI | BestHub

Architect

May 31, 2025 · Artificial Intelligence

Edge Intelligence Implementation in the Vivo Official App: Architecture, Feature Engineering, and Model Deployment

The article details how edge intelligence is applied to the Vivo official app to improve product recommendation on the smart‑hardware floor by abstracting the problem, designing feature engineering pipelines, training TensorFlow models, converting them to TFLite, and deploying inference on mobile devices, while also covering monitoring and performance considerations.

Feature EngineeringModel DeploymentTensorFlow Lite

0 likes · 19 min read

Edge Intelligence Implementation in the Vivo Official App: Architecture, Feature Engineering, and Model Deployment

Amap Tech

May 27, 2025 · Artificial Intelligence

Gaode Map Custom Voice Pack: End‑to‑End TTS Model Architecture and Deployment

This article explains how Gaode Map leverages lightweight edge TTS models, dual‑autoregressive large‑model data augmentation, and a configurable audio‑processing DAG to enable users to create highly realistic personalized voice packs from just three recorded sentences.

Gaode MapsTTSdata augmentation

0 likes · 8 min read

Gaode Map Custom Voice Pack: End‑to‑End TTS Model Architecture and Deployment

DeWu Technology

Feb 12, 2025 · Artificial Intelligence

Edge Intelligence for Intelligent Video Cover Recommendation

The article describes an edge‑based video‑cover recommendation system for DeWu that leverages the MNN SDK and a lightweight MobileNetV3 model, performing on‑device inference with quantization and parallel processing to automatically select high‑quality covers, achieving sub‑second latency and boosting click‑through rates by up to 18 %.

Model DeploymentVideo Coveredge AI

0 likes · 12 min read

Edge Intelligence for Intelligent Video Cover Recommendation

DevOps

Feb 5, 2025 · Artificial Intelligence

Top 10 AI Development Trends for 2025

The article outlines ten major AI trends expected in 2025, including the rise of intelligent agents, fierce competition among multimodal large models, breakthroughs in text‑to‑video generation, long‑term memory, quantum computing, edge models, embodied intelligence, humanoid robots, AI self‑looping with synthetic data, and the enduring scaling laws of large models.

2025 trendsAIQuantum Computing

0 likes · 6 min read

Architects' Tech Alliance

Nov 26, 2024 · Artificial Intelligence

Get Ready for a Shakeout in Edge NPUs

The article examines the rapid growth and increasing complexity of edge AI NPUs, discussing challenges in software and hardware acceleration, supply‑chain constraints, and the need for integrated engine solutions to sustain performance and power efficiency.

NPUedge AIhardware acceleration

0 likes · 9 min read

DataFunTalk

May 20, 2024 · Artificial Intelligence

Deploying OPPO Multi‑Modal Pretrained Models in Edge‑Cloud Scenarios: Techniques and Optimizations

This article presents OPPO's practical research on deploying multi‑modal pre‑training models across mobile devices and cloud, covering edge image‑text retrieval, text‑image generation and understanding optimizations, and lightweight diffusion model techniques, with detailed algorithmic improvements, performance results, and real‑world application cases.

AIGCOPPOdiffusion

0 likes · 18 min read

Deploying OPPO Multi‑Modal Pretrained Models in Edge‑Cloud Scenarios: Techniques and Optimizations

JD Retail Technology

Feb 28, 2024 · Artificial Intelligence

Edge AI at JD Retail: Architecture, Challenges, and Business Practices

This article details JD Retail's edge AI (on‑device intelligence) platform, covering its definition, performance and security challenges, three‑layer cloud‑edge‑device architecture, key components such as high‑performance inference engine, data pipeline, Python VM container, and real‑world applications in traffic distribution and image recognition.

AI architectureJD RetailOn‑device Intelligence

0 likes · 15 min read

Edge AI at JD Retail: Architecture, Challenges, and Business Practices

DaTaobao Tech

Jun 12, 2023 · Artificial Intelligence

Real-Time Video Stream Subject Recognition for E-commerce (MetaSight)

MetaSight introduces a real‑time video‑stream subject recognition system that replaces the traditional capture‑upload‑search flow with continuous, on‑camera product identification, using a sub‑10 MB edge model, global IDs for frame continuity, edge‑cloud collaboration, and batch processing to cut interaction steps, lower server load, and pave the way for future AR/XR shopping experiences.

ARXRedge AI

0 likes · 10 min read

Real-Time Video Stream Subject Recognition for E-commerce (MetaSight)

ByteDance Terminal Technology

Jul 29, 2022 · Artificial Intelligence

Pitaya: ByteDance’s End‑Side AI Engineering Platform Overview

Pitaya, built by ByteDance’s Client AI and MLX teams, is a comprehensive end‑side AI engineering platform that provides a full workflow from model development and data preparation to deployment, monitoring, and federated learning, supporting large‑scale commercial scenarios across multiple apps.

AI PlatformFederated LearningInference Engine

0 likes · 14 min read

Pitaya: ByteDance’s End‑Side AI Engineering Platform Overview

DaTaobao Tech

Jul 15, 2022 · Artificial Intelligence

Edge AI Model Evaluation and Optimization with TensorFlow, JAX, and TVM

The article demonstrates how to evaluate, compress, and convert deep‑learning models for edge devices using TensorFlow, JAX, and TVM—showing a faster iPhone‑based MNIST training benchmark, FLOPs measurement scripts, TFLite/ONNX/CoreML conversion, TVM compilation with auto‑tuning, and up to 50 % speed improvements on mobile NPU hardware.

JAXTVMTensorFlow

0 likes · 29 min read

Edge AI Model Evaluation and Optimization with TensorFlow, JAX, and TVM

ByteDance Terminal Technology

Nov 9, 2021 · Artificial Intelligence

Edge AI Video Preloading: Case Study and Implementation with ByteDance's Client AI Platform

This article presents a comprehensive case study of applying edge AI to video preloading on the Xigua Video platform, detailing scenario analysis, predictive modeling of user behavior, feature engineering, on‑device model inference, dynamic algorithm package deployment, experimental evaluation, and the resulting performance and cost improvements.

A/B testingDynamic DeploymentFeature Engineering

0 likes · 18 min read

Edge AI Video Preloading: Case Study and Implementation with ByteDance's Client AI Platform

Didi Tech

Oct 21, 2020 · Artificial Intelligence

Deep Model Compression Techniques for Intelligent Automotive Cockpits

The article reviews deep‑model compression methods—ADMM‑based structured pruning, low‑bit quantization, and teacher‑student knowledge distillation—and their automated AutoCompress workflow, demonstrating how these techniques shrink neural networks enough to run real‑time driver‑monitoring and other intelligent cockpit functions on resource‑limited automotive hardware while preserving accuracy.

ADMMdeep learningedge AI

0 likes · 16 min read

Deep Model Compression Techniques for Intelligent Automotive Cockpits

Baidu App Technology

May 20, 2020 · Frontend Development

Paddle.js: Baidu's Browser-Based AI Inference Engine for Frontend Development

Paddle.js is Baidu’s lightweight JavaScript inference engine that transforms Paddle models into web‑compatible formats, enabling fast, privacy‑preserving AI features such as face detection, gesture recognition and content filtering directly in browsers via WebGL/WebAssembly, with only 201 KB code and broad compatibility.

Frontend IntelligenceJavaScript AINeural Network Inference

0 likes · 13 min read

Paddle.js: Baidu's Browser-Based AI Inference Engine for Frontend Development

Tencent Cloud Developer

Aug 6, 2019 · Cloud Computing

Tencent Cloud AIoT Product: Edge AI Capabilities and Cloud-Edge Collaboration Architecture

Tencent Cloud’s AIoT solution combines edge AI processing with a cloud‑edge collaboration framework, using container‑orchestrated microservices, AI chips and IoT connectivity to cut latency to milliseconds, lower bandwidth by sending only structured data, and enable real‑time applications such as smart retail, manufacturing, agriculture and building security.

AIoTCloud-Edge CollaborationContainer Orchestration

0 likes · 28 min read

Tencent Cloud AIoT Product: Edge AI Capabilities and Cloud-Edge Collaboration Architecture

Youku Technology

Nov 5, 2018 · Artificial Intelligence

Intelligent Interactive Practices for Multimedia Live Streaming: Insights from Taobao Live

The talk outlines Taobao Live’s rapid growth and three‑layer interactive architecture—dynamic AI‑driven marketing tools, human‑computer interaction features such as facial and gesture recognition, and intelligent operations that score fan intimacy—to deliver low‑latency, AI‑enhanced streaming with innovations like virtual backgrounds, product recognition, and an automated live‑assistant.

Interactive AILive StreamingReal-time Communication

0 likes · 9 min read

Intelligent Interactive Practices for Multimedia Live Streaming: Insights from Taobao Live