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Fair decisions, clear reasons: Creating fuzzy AI with fairness built in from the start
Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until ...
Motor control ICs deliver higher efficiency, along with AI/ML functionality for improvements in predictive maintenance.
Imagine learning to operate a piece of machinery you've never previously touched, not through a tutorial, but through your own hands electrically guided through the right motions. That's the core idea ...
Abstract: The problem of reinforcement learning (RL)-based fuzzy control for nonlinear systems with unknown dynamics via parallel composite policy iteration (PCPI) scheme is studied in this article.
Abstract: This article proposes a hierarchical fuzzy learning (HFL) framework that restructures fuzzy control synthesis around virtual tracking targets (VTTs). First, we introduce a VTT-driven ...
Wabtec is a leading provider of equipment systems and digital solutions for the rail industry. Wabtec’s Wayside Condition Monitoring is a comprehensive portfolio of solutions that provides non-contact ...
This tutorial is part of the course Fuzzy Sets and Systems for the Swiss Joint Master of Science in Computer Science. It introduces the use of fuzzy logic algorithms in Python, utilizing the fcmpy ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
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