How Data Drives the Future of Intelligent Cars: Insights from Industry Leaders

A closed‑door TVP event on November 2 gathered executives from Li Auto, Tsinghua University and Tencent to discuss how massive vehicle‑network data, AI‑powered software, privacy safeguards and a new general optimal‑control solver are reshaping intelligent‑car development, cloud infrastructure and global automotive strategies.

Automotive AIControl SolverData-driven

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How Data Drives the Future of Intelligent Cars: Insights from Industry Leaders

Amap Tech

Sep 24, 2020 · Artificial Intelligence

Hybrid Spatio‑Temporal Graph Convolutional Network for Precise Traffic Prediction

At the 2020 Yunqi Conference, Amap’s senior algorithm expert presented the Hybrid Spatio‑Temporal Graph Convolutional Network, which leverages massive real‑time navigation data to estimate future traffic flow, transform it into travel‑time features, and outperform prior models, enabling proactive congestion avoidance and dynamic traffic‑scheduling for millions of users.

AIHSTGCNSmart Mobility

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Hybrid Spatio‑Temporal Graph Convolutional Network for Precise Traffic Prediction

Didi Tech

May 1, 2019 · Artificial Intelligence

New Generation AI Empowering the Era of Smart Mobility – Insights from Didi’s Chief Scientist Tang Jian

Chief Scientist Tang Jian explains how Didi leverages next‑generation AI—big‑data, hybrid‑augmented, autonomous, and collective intelligence—to transform smart mobility through advanced dispatch, safety systems, in‑car perception, traffic‑signal optimization, and global collaborations, while confronting challenges of model scale, computing power, and safety assurance.

Artificial IntelligenceBig DataDidi

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New Generation AI Empowering the Era of Smart Mobility – Insights from Didi’s Chief Scientist Tang Jian