AI・持続可能性分野に携わる女性<br>Women in AI and Sustainability (Women in Engineering and Science) (2025. x, 180 S. X, 180 p. 52 illus., 41 illus. in color. 235 mm)

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AI・持続可能性分野に携わる女性
Women in AI and Sustainability (Women in Engineering and Science) (2025. x, 180 S. X, 180 p. 52 illus., 41 illus. in color. 235 mm)

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  • 製本 Hardcover:ハードカバー版/ページ数 180 p.
  • 商品コード 9783031958892

Full Description

This book is intended as an incentive for women to start, continue, or expand their STEM work in AI and sustainability, thus speeding up progress in a field critical to the wellbeing of humanity. The book features a rigorously curated collection of scientifically sound, expertly yet accessibly written chapters capturing state-of-the-art research conducted at the forefront of where the AI field intersects with sustainability. The transformative impact of the work conveyed in the book in conjunction with the non-traditional personal and professional backgrounds of the authors are both instructional and motivational, thus catering to a specific set of readership expectations that conventional scientific literature routinely overlooks. Part of the highly successful Women in Science and Engineering book series, this volume highlights the contribution of women leaders in AI and sustainability, inspiring people across the identity and age spectra to enter STEM and work diligently and passionately to develop and fulfil themselves in tandem with securing a bright future for the field.

Contents

Introduction.- Towards the use of AI for improving productivity of sustainable construction.- Off the beaten track: stories from female leaders with non-linear career paths within STEM.- Detection of African elephants with deep learning and satellite imagery.- Improving Energy Efficiency in Electrical Production with Artificial Intelligence Methods.- Robotics in a sustainable world: accelerating or hindering a circular economy.- Harnessing the Power of AI for Sustainability.- The case for sustainable AI in the creative industry.- AI-powered traffic lights to promote sustainable road transportation.- Smart Scheduling. An Evolutionary Solution to Dynamic Job Scheduling for Sustainability.- Women Pioneers in STEM.- Conclusion.

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