The volume explores AI's transformative role in addressing ecological challenges and enhancing our understanding of the natural world. It highlights how species' ecological behavior have enriched AI's adaptive capabilities, aiding in the analysis of habitat, navigation, and communication.
The volume explores AI's transformative role in addressing ecological challenges and enhancing our understanding of the natural world. It highlights how species' ecological behavior have enriched AI's adaptive capabilities, aiding in the analysis of habitat, navigation, and communication.
Lidia Ghosh (Gold-Medalist, M.Tech., JU) is an Assistant Professor in the Department of Computer Application at the RCC Institute of Information Technology, Kolkata, India. She was a Postdoctoral Fellow at Liverpool Hope University, UK, and has received multiple prestigious fellowships, including the Rashtriya Uchchatara Shiksha Abhiyan Doctoral Fellowship. She has published over 50 research papers and serves as a reviewer for top IEEE journals. Her research focuses on cognitive neuroscience, deep learning, type-2 fuzzy sets, and human memory formation. Amiyangshu De is a PhD candidate at the Indian Institute of Technology Kharagpur, currently working on context dependent auditory encoding of simple and complex sounds in the mouse brain. He is a pharmacy graduate with diverse domains of expertise from various academic backgrounds like pharmaceutical chemistry, cognitive science, animal behavior, molecular and system neuroscience. He has worked in different domains like cognitive loads and working memory, philosophical aspects of the co-evolution of language and cognition, and transcriptional regulations of adult neurogenesis. He has valuable contributions in multiple journals and conference presentations.
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