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Titlebook: Artificial Intelligence for Sustainability; Innovations in Busin Thomas Walker,Stefan Wendt,Tyler Schwartz Book 2024 The Editor(s) (if appl

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樓主: energy
41#
發(fā)表于 2025-3-28 15:11:52 | 只看該作者
Artificial Intelligence and the Global Automotive Industryinterplay between commercial, social, risk, infrastructure, and regulatory mechanisms with various impacts on the industry’s stakeholders. This study predicts that the most likely sustainable scenario for the AV industry is that it will be driven by: (1) AI’s pulsed laser LiDAR (Light Detection and
42#
發(fā)表于 2025-3-28 20:03:47 | 只看該作者
The Emergence of the Nighttime Artificial Intelligence-Robot-Driven Economyion, and recycling processes. Operations could be optimized by utilizing underutilized areas and peripheral locations for human activities, as well as taking advantage of nighttime operations during human rest periods. This article outlines how nighttime operations offer various advantages, includin
43#
發(fā)表于 2025-3-28 23:30:10 | 只看該作者
Strengthening the Sustainability of Artificial Intelligence: Fostering Green Intelligence for a Moreal, legal, and reputational damage for companies. A case study of NearMap, a company that provides high-resolution aerial imagery, and the steps that NearMap has taken to green the bounded AI that it has implemented in its operations, is used in the chapter to illustrate this argument.
44#
發(fā)表于 2025-3-29 06:57:06 | 只看該作者
45#
發(fā)表于 2025-3-29 08:25:06 | 只看該作者
46#
發(fā)表于 2025-3-29 14:35:12 | 只看該作者
Analysis of Smart Meter Data for Energy Waste Management AI enhances user privacy, adapts to changing usage patterns, and improves system transparency thereby facilitating a smoother transition to energy efficiency. We illustrate how privacy-preserving techniques can be used to protect user data while preserving the utility of AI models. The chapter furt
47#
發(fā)表于 2025-3-29 17:54:03 | 只看該作者
Leveraging AI to Map SDG Coverage and Uncover Partnerships in Swiss Philanthropyt reduces efficient coordination between POs is the insufficient knowledge and visibility of the SDGs-aligned activities conducted by other agents. To address this bottleneck, we propose an AI approach using Natural Language Processing (NLP) for mapping SDG coverage by POs in the Swiss ecosystem. Th
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