NanoMind: Exploring Synergies in Nanotechnology and Machine Learning / edited by Shubham Mahajan, Susanta Das, Alvaro Rocha, Debanjali Barman Roy, Paras Chawla.

Format:

Book

Contributor:

Mahajan, Shubham., Editor.

Dāsa, Suśānta, Editor.

Rocha, Álvaro, Editor.

Roy, Debanjali Barman., Editor.

Chawla, Paras, Editor.

Series:

Information Systems Engineering and Management, 3004-9598 ; 27

Language:

English

Subjects (All):

Computational intelligence.

Machine learning.

Nanotechnology.

Computational Intelligence.

Machine Learning.

Local Subjects:

Computational Intelligence.

Machine Learning.

Nanotechnology.

Physical Description:

1 online resource (XIII, 289 p. 63 illus., 51 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

NanoMind" serves as a captivating exploration at the crossroads of nanotechnology and machine learning, revealing the profound synergies between these two groundbreaking fields. At its core, the book is a guided tour through the intricate realms of nanoscale materials and artificial intelligence, illuminating their combined potential to reshape the landscape of innovation. The journey begins with an introductory chapter, setting the stage for the convergence of nanotechnology and machine learning. Readers are introduced to the fundamental principles and applications of nanoscale materials, laying the groundwork for a deeper understanding of the nano-world. Simultaneously, the basics of machine learning are demystified, providing a comprehensive overview of the methodologies and concepts that underpin AI. "Nanoscale Sensing and Imaging" takes readers into the realm of advanced technologies, showcasing how machine learning enhances our ability to sense and image materials at the nanoscale. The narrative then seamlessly transitions to the creation and optimization of materials with nano-enhancements in "Nano-Enabled Materials." This section demonstrates how the marriage of nanotechnology and machine learning can lead to the development of materials with unprecedented properties, fostering innovation in diverse industries. The exploration extends into the field of healthcare with "Machine Learning in Nanomedicine," unveiling how AI at the nanoscale is transforming diagnostics, drug delivery, and personalized medicine. "Quantum Computing and Nanotechnology" delves into the cutting-edge intersection of quantum computing, nanotech, and machine learning, showcasing the potential for revolutionary advancements in computation and problem-solving. However, the journey isn't without its challenges. The book devotes a section to "Challenges and Ethical Considerations," addressing the complexities and ethical dimensions associated with the convergence of nanotechnology and machine learning. This discussion ensures that readers are equipped to navigate the ethical landscape responsibly.

Contents:

1. A Streamlined Yolov3 and Resnet-50 For Effective Leukemia Detection

2. Enhanced Pneumonia Detection Through EfficientNetV2-L,Vision Transformer (ViT), and ResNet-50 Image Analysis

3. Harnessing Nano & AI for Sustainable Energy Application

4. Machine Learning for Nano Process Optimization: Enhancing Efficiency in Nanofabrication

5. Nano AI Synergy: Advancements in Smart Materials, Devices and Intelligent Systems

6. Nanodrugs: Recent Development and Therapeutic Application

7. Nanotechnology for Energy Applications: Harnessing Nano and AI for Sustainable Energy

8. Nanotechnology in Energy: Advances in Harvesting, Storage, and Environmental Sustainability

9. Optimization approaches using Machine Learning techniques to Preidentification of Liver Cancer

10. Quantum Computing and Nanotechnology

11. Synergizing Nanotechnology and Artificial Intelligence for Society 5.0 Advancement through Intelligent Systems

12. Transmission of electrons in insulating PET nanocapillaries: Differences with slow ions and changes of sample properties

13. ZnO nanoparticles and nanocomposites in food packaging: A review.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-77296-2

OCLC:

1523372665