AIエージェントにより電子機器のカーボンフットプリントを迅速推定 (UW Researchers Built AI Agents That Quickly Estimate Electronic Devices’ Carbon Footprints)

20206-06-12 ワシントン大学(UW)

米国ワシントン大学(UW)の研究チームは、電子機器の製造に伴う環境負荷を短時間で推定できるAIエージェントシステムを開発した。研究成果はNature Electronicsに掲載された。スマートフォンやノートPCなどの電子機器のカーボンフットプリントを正確に評価するには、部品構成や製造工程を詳細に分析するライフサイクルアセスメント(LCA)が必要だが、従来は専門家が数週間から数か月を要していた。今回開発されたシステムは、公開データベースや製品内部の画像、修理コミュニティの情報、認証資料などをAIが自動的に収集・解析し、わずか1分程度で環境負荷を推定できる。推定誤差は5~19%程度と、専門家による評価と同等の精度を達成した。また、類似製品との比較から環境負荷を推定する手法も開発され、ノートPC上で数ミリ秒以内に計算可能であることが示された。研究チームは、この技術により消費者が製品購入時に環境影響を比較しやすくなるほか、企業の製品設計やサプライチェーン管理の効率化にも役立つとしている。持続可能な電子機器開発を促進する新たなツールとして期待される。

AIエージェントにより電子機器のカーボンフットプリントを迅速推定 (UW Researchers Built AI Agents That Quickly Estimate Electronic Devices’ Carbon Footprints)
University of Washington researchers developed an artificial intelligence system that automatically estimates the environmental impacts of making different electronic devices. The system takes only a minute to run — combing through databases, including images of the insides of electronics — and achieves estimates with accuracy similar to human experts’. Photo: Vadim Zhakupov/iStock

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マルチモーダル人工知能エージェントを用いた持続可能性評価 Sustainability assessment using multimodal artificial intelligence agents

Zhihan Zhang,Alexander Metzger,Yuxuan Mei,Felix Hähnlein,Zachary Englhardt,Tingyu Cheng,Gregory D. Abowd,Shwetak Patel,Adriana Schulz & Vikram Iyer
Nature Electronics  Published:12 June 2026
DOI:https://doi.org/10.1038/s41928-026-01653-w

Abstract

Reducing the growing environmental impact of the computing industry requires assessing the emissions of electronics at scale. However, a traditional life-cycle assessment (LCA) of an electronic device, which maps materials and processes to environmental impacts, often requires proprietary or unavailable data. Here we report a multimodal multi-agent artificial intelligence system that emulates the collaborative process between LCA professionals and stakeholders (such as product managers and engineers) to estimate the carbon footprint of electronic devices. The agents iteratively construct a complete life-cycle inventory by leveraging a structured data abstraction and software tools that mine information from the public Internet, including repair communities and government regulatory databases. This reduces data gaps and data collection from weeks or months of expert time to under 1 min. The system can calculate the carbon footprint within 19% of expert LCAs with zero proprietary data (typical of the variation between human LCAs). We also show that by encoding domain-specific knowledge, environmental impact estimation can be reframed as a data-driven prediction task, in which both unknown products and emission factors are represented as weighted combinations of similar ones with known emissions.

 

持続可能な電子機器のためのリサイクル可能なビトリマーベースのプリント基板 Recyclable vitrimer-based printed circuit boards for sustainable electronics

Zhihan Zhang,Agni K. Biswal,Ankush Nandi,Kali Frost,Jake A. Smith,Bichlien H. Nguyen,Shwetak Patel,Aniruddh Vashisth & Vikram Iyer
Nature Sustainability  Published:26 April 2024
DOI:https://doi.org/10.1038/s41893-024-01333-7

Abstract

Printed circuit boards (PCBs) are ubiquitous in electronics and make up a substantial fraction of environmentally hazardous electronic waste when devices reach end-of-life. Their recycling is challenging due to their use of irreversibly cured thermoset epoxies in manufacturing. Here, to tackle this challenge, we present a PCB formulation using transesterification vitrimers (vPCBs) and an end-to-end fabrication process compatible with standard manufacturing ecosystems. Our cradle-to-cradle life-cycle assessment shows substantial environmental impact reduction of the vPCBs over conventional PCBs in 11 categories. We successfully manufactured functional prototypes of Internet of Things devices transmitting 2.4 GHz radio signals on vPCBs with electrical and mechanical properties meeting industry standards. Fractures and holes in vPCBs are repairable while retaining comparable performance over multiple repair cycles. We further demonstrate a non-destructive recycling process based on polymer swelling with small-molecule solvents. Unlike traditional solvolysis recycling, this swelling process does not degrade the materials. Through dynamic mechanical analysis, we find negligible catalyst loss, minimal changes in storage modulus and equivalent polymer backbone composition across multiple recycling cycles. This recycling process achieves 98% polymer recovery, 100% fibre recovery and 91% solvent recovery to create new vPCBs without performance degradation. Overall, this work paves the way for sustainability transitions in the electronics industry.

1904環境影響評価
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