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Artificial Intelligence for Personalized Medicine
This book aims to highlight the latest achievements in the use of AI in personalized medicine and healthcare delivery. The edited book contains selected papers presented at the 2023 Health Intelligence workshop, co-located with the Thirty-Seven Association for the Advancement of Artificial Intelligence (AAAI) conference, and presents an overview of the issues, challenges, and potentials in the field, along with new research results. This book provides information for researchers, students, industry professionals, clinicians, and public health agencies interested in the applications of AI in medicine and public health.
Reinforcement Learning Methods in Speech and Language Technology
This book offers a comprehensive guide to reinforcement learning (RL) and bandits methods, specifically tailored for advancements in speech and language technology. Starting with a foundational overview of RL and bandit methods, the book dives into their practical applications across a wide array of speech and language tasks. Readers will gain insights into how these methods shape solutions in automatic speech recognition (ASR), speaker recognition, diarization, spoken and natural language understanding (SLU/NLU), text-to-speech (TTS) synthesis, natural language generation (NLG), and conversational recommendation systems (CRS). Further, the book delves into cutting-edge developments in large...
AI 2020: Advances in Artificial Intelligence
This book constitutes the proceedings of the 33rd Australasian Joint Conference on Artificial Intelligence, AI 2020, held in Canberra, ACT, Australia, in November 2020.* The 36 full papers presented in this volume were carefully reviewed and selected from 57 submissions. The paper were organized in topical sections named: applications; evolutionary computation; fairness and ethics; games and swarms; and machine learning. *The conference was held virtually due to the COVID-19 pandemic.
Privacy and Security for Large Language Models
As the deployment of AI technologies surges, the need to safeguard privacy and security in the use of large language models (LLMs) is more crucial than ever. Professionals face the challenge of leveraging the immense power of LLMs for personalized applications while ensuring stringent data privacy and security. The stakes are high, as privacy breaches and data leaks can lead to significant reputational and financial repercussions. This book serves as a much-needed guide to addressing these pressing concerns. Dr. Baihan Lin offers a comprehensive exploration of privacy-preserving and security techniques like differential privacy, federated learning, and homomorphic encryption, applied specifi...
Representational Similarity Analysis
Understanding the representations of artificial or biological neural networks is crucial in discovering the neural information processing mechanisms of the brain. Representational Similarity Analysis (RSA), is an analytical framework in computational and cognitive neuroscience, comparing models and brains in terms of their representational geometries. Representational Similarity Analysis: Unlocking the Neural Representations of Brains and Machines is the first book on representational similarity analysis, surveying the advances in computational neuroscience. This book is organized into five distinct sections. The first, introduces the reader to representation patterns and relation to neurosc...
Displacing Desire
Why do millions of people from around the world flock to Dali, a small borderland town in the Himalayan foothills of southwest China? "Lonely planeteers"-- American, European, and Israeli backpackers named for the guidebook they carry--trek halfway across the globe to "get off the beaten track," yet converge here to drink coffee, eat banana pancakes, and share music from home. Coastal Chinese who are prospering in the phenomenal economic growth of China's reform era travel thousands of miles to sing songs and dress up as their favorite characters from a revolutionary-era movie musical. Overseas Chinese from Southeast Asia as well as a new generation of mainland youth follow in the footsteps ...
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