Can Artificial Intelligence Aid in Forecasting Earthquakes?

Can Artificial Intelligence Aid in Forecasting Earthquakes? by Bikash Sadhukhan explores a timely, high-stakes question: can machine intelligence meaningfully improve seismic prediction and early warning for earthquake-prone regions worldwide?

Startling yet accessible, this book opens with real-world context — from the Himalayan belt and Nepal to California, Japan, Chile and the broader Pacific Ring of Fire — showing why better forecasting matters for communities, infrastructure and disaster response. Bikash Sadhukhan walks readers through the latest advances in artificial intelligence, machine learning and deep learning applied to seismic datasets, sensor networks and pattern recognition, explaining complex ideas in clear, practical language.

You’ll find balanced analysis of promise and limits: how AI can enhance anomaly detection, accelerate data interpretation, and strengthen early warning systems, while also confronting data quality, false positives and ethical considerations. Case studies and comparative examples make technical concepts relevant to policymakers, engineers, researchers and informed citizens.

For professionals working in seismic monitoring, urban planning, emergency management or climate resilience — and for curious readers in India, Japan, the Americas and beyond — this book blends scientific insight with actionable perspective. It empowers readers to evaluate AI-driven proposals critically and to appreciate the collaborative role of human expertise and technology.

Ready to better understand the future of seismic prediction? Add Can Artificial Intelligence Aid in Forecasting Earthquakes? by Bikash Sadhukhan to your collection and stay informed about the evolving intersection of AI and earthquake science.

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