Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning to Healthcare, and Blockchain
| By: | null |
| Publisher: | Springer Nature |
| Print ISBN: | 9783032123619 |
| eText ISBN: | 9783032123626 |
| Edition: | 0 |
| Copyright: | 2026 |
| Format: | Reflowable |
eBook Features
Instant Access
Purchase and read your book immediately
Read Offline
Access your eTextbook anytime and anywhere
Study Tools
Built-in study tools like highlights and more
Read Aloud
Listen and follow along as Bookshelf reads to you
Artificial intelligence is transforming the way we live, work, and heal. But true progress depends on more than raw power—it requires systems that are efficient, reliable, and trustworthy. Advances in Artificial Intelligence: Efficiency, Reliability, and Innovations in Machine Learning, Healthcare, and Blockchain explores cutting-edge breakthroughs across machine learning, healthcare, and blockchain. From interpretable tensor models and life-changing medical applications to secure decentralized learning and safer large language models, this book highlights how innovation can meet responsibility. Written by leading researchers, this book is an essential resource for anyone looking to understand and shape the next generation of AI.