Books - Computer Science
Hands-On Artificial Intelligence for Beginners by Publication Date: 2018This book will teach you machine learning and deep learning concepts, recent changes in AI and how artificial neural networks have expanded the use of AI. Other key topics discussed: feedforward neural networks, recurrent neural networks, convolutional neural networks, and generative neural networks
Beyond the Algorithm: AI, Security, Privacy, and Ethics by Call Number: QA 76.9 .A25 2024Publication Date: 2024This text teaches the reader about AI security by engaging the reader and providing examples. Examples of code are included when necessary - chapter summaries and tests are included for self-paced learning
Software Engineering: Artificial Intelligence, Compliance, and Security by Publication Date: 2020This book focuses on privacy and security, specifically for software engineers. Topics covered include: risks and applications of AI in software engineering, software security for the U.S. Government, AI in healthcare, and the FDA's use of AI
Academic Articles - Computer Science
- Competition-level code generation with AlphaCode by Li, Yujia; Choi, David; Chung, Junyoung et al. (2022)In this article, the reader will learn about AlphaCode. AlphaCode is a new deep learning model developed by Li et al. and can "achieve approximately human-level performance on the Codeforces platform"
- AI Coding: Learning to Construct Error Correction Codes by Huang, Lingchen et al. (2020)The authors describe how a constructor-evaluator framework can be applied to code to receive code performance metric measurements from the code evaluator