What are some regulations related to AI and machine learning?

Jan 5, 2024 ... This study adopts multi-modal machine learning to deeply interpret corporate non-financial information and explore the influence of corporate leverage ... A new methodology that uses a form of machine learning called convolutional neural networks to find customer needs and insights in user-generated content (UGC). The book aims to provide a modern approach to information retrieval from a computer science perspective. ... Support vector machines & machine learning on ... Introduction to Deep Learning ISA 400. Machine Learning with Robotics ISA 410. Systems Analysis and Information Technology Consulting ISA 441. Big Data ... Generative Artificial Intelligence. AI Research Scientist; Machine Learning Engineer; Data Scientist; AI Product Manager; Ethics Consultant. Product Development. May 21, 2024 ... ... machine learning and deep learning models to reliably predict informational support questions and responses. We employed explainable AI to ... This 30-credit, 10-course, non-thesis graduate program's rigorous technical curriculum is designed to prepare students for a career as an information engineer. The article discusses a machine learning method for a control system for a hand limb prosthesis with a non-invasive biosignal reading system, which operates in ... This paper uses machine learning techniques to examine the extent to which firms could identify the bids of their rivals in public data, and to describe the ... Dec 1, 2015 ... Particularly, we formulate unconstrained learning problem and further provide information- theoretic regularization, i.e., the sum of entropy of ...