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Machine Heart
Machine Heart
Apr 23, 2026 · Artificial Intelligence

UniLS: End-to-End Audio-Driven Framework Eliminates the ‘Poker Face’ in Digital Human Dialogue

UniLS, the first end‑to‑end audio‑driven framework that jointly generates speaking and listening facial motions for digital humans, achieves state‑of‑the‑art speaking accuracy, improves listening naturalness by 44.1 %, and runs at over 500 FPS, as demonstrated on the CVPR 2026‑accepted paper with extensive quantitative and user studies.

CVPR 2026audio-driven animationdigital humans
0 likes · 9 min read
UniLS: End-to-End Audio-Driven Framework Eliminates the ‘Poker Face’ in Digital Human Dialogue
360 Tech Engineering
360 Tech Engineering
Dec 25, 2025 · Frontend Development

Unlock WebGPU & WebAssembly: Boost 3D, AI, and Video Performance in the Browser

WebGPU and WebAssembly together break the performance ceiling of traditional JavaScript‑WebGL stacks, enabling native‑grade GPU compute, multithreaded workloads, and real‑time AI, video, and 3D rendering in browsers, while offering practical optimization techniques, code examples, and a roadmap of challenges and future trends.

GPU ComputeWebAssemblyWebGPU
0 likes · 14 min read
Unlock WebGPU & WebAssembly: Boost 3D, AI, and Video Performance in the Browser
DataFunTalk
DataFunTalk
Oct 29, 2025 · Artificial Intelligence

Voice Agents Transform Gaming & Insurance: Real‑World Lessons from Silicon Valley

In a Silicon Valley tech conference, Mu Shen shared how voice agents—real‑time, task‑oriented AI—were applied to an open‑world game as an AI NPC and to a Fortune‑500 insurer as an AI tele‑salesperson, revealing technical challenges, model architectures, training strategies, evaluation methods, and key lessons for future deployments.

Game AIinsurance automationlarge language models
0 likes · 19 min read
Voice Agents Transform Gaming & Insurance: Real‑World Lessons from Silicon Valley
Big Data Technology & Architecture
Big Data Technology & Architecture
Aug 25, 2025 · Artificial Intelligence

How to Deploy Real-Time AI Models with Apache Flink 2.1

This guide explains Apache Flink 2.1's new AI model DDL and ML_PREDICT function, showing step‑by‑step how to create, manage, and invoke AI models in streaming SQL, configure resources with Little's Law, and process risk‑assessment results in real time.

Apache FlinkML_PREDICTResource Planning
0 likes · 5 min read
How to Deploy Real-Time AI Models with Apache Flink 2.1
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jul 4, 2025 · Big Data

From Real-Time Data Analytics to Real-Time AI: Flink Forward Asia 2025 Highlights

The Flink Forward Asia 2025 conference in Singapore showcased Apache Flink's evolution with new AI‑driven projects such as Flink Agents, the integration of AI Functions in Flink 2.1, the disaggregated state management architecture of Flink 2.0, and complementary lakehouse technologies like Paimon and Fluss, underscoring the platform's role as the real‑time backbone for modern AI applications.

Apache FlinkData LakehouseDisaggregated State Management
0 likes · 9 min read
From Real-Time Data Analytics to Real-Time AI: Flink Forward Asia 2025 Highlights
DataFunTalk
DataFunTalk
Jul 4, 2025 · Big Data

How Flink Agents and Flink 2.0 Are Powering Real‑Time AI at Scale

The Flink Forward Asia 2025 conference in Singapore showcased Apache Flink’s latest advances—including Flink Agents for system‑triggered AI, the cloud‑native Flink 2.0 with disaggregated state management, the multi‑modal lakehouse Paimon, and the Fluss table storage system—highlighting the ecosystem’s shift toward real‑time AI integration.

Apache FlinkFlink 2.0Flink Agents
0 likes · 9 min read
How Flink Agents and Flink 2.0 Are Powering Real‑Time AI at Scale
Suning Technology
Suning Technology
Nov 14, 2020 · Artificial Intelligence

Designing Real-Time AI Algorithms for Unmanned Retail Stores

This lecture details the end‑to‑end AI architecture for unmanned stores, covering algorithm module selection, calibration, face recognition, multi‑task detection, tracking, recommendation, data collection, augmentation, model training, and GPU‑accelerated deployment to achieve real‑time performance and high accuracy.

data augmentationdeep learningmodel deployment
0 likes · 15 min read
Designing Real-Time AI Algorithms for Unmanned Retail Stores