Eyal Wirsansky
Senior data scientist, Artificial Intelligence mentor
Jacksonville, Florida, United States
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Eyal Wirsansky is a senior data scientist, seasoned software engineer, and technology community leader, dedicated to helping developers and companies learn and utilize artificial intelligence techniques. He is the author of the book "Hands-On Genetic Algorithms with Python".
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The Wonderful World of Bio-Inspired Computing
Bio-inspired computing is a family of algorithms based on models of biological systems and behaviors. This talk will explore the wonders of these methods and the problems they can solve. Discover how genetic algorithms imitate the process of natural evolution to find the best solutions for given problems. Learn how genetic programming evolves computer programs to accomplish specific tasks. See how ant colony optimization mimics the way certain species of ants locate food and prioritize resources. Additionally, learn about particle swarm optimization, based on the behavior of flocks of birds, where individuals work together toward a common goal. We will also cover several frameworks and resources to help you get started.
Key takeaways:
* Understand the basic principles and concepts behind algorithms modeled after biological systems and behaviors
* Learn how genetic algorithms simulate natural evolution to identify optimal solutions for complex problems
* See real-world examples of how these bio-inspired methods can be applied across various industries to solve challenging problems
Based on my book 'Hands-On Genetic Algorithms with Python'
Unlocking the Secrets of the Mystery-Word Game: A Journey Through NLP and Genetic Algorithms
This session introduces the basics of Natural Language Processing and word embeddings, highlighting their application in popular online games like Semantle. Discover how genetic algorithms can enhance game performance by creating an intelligent player that guesses the mystery word based on semantic similarity. We will explore the game's mechanics, learn the principles of genetic algorithms, and present a live demonstration of our AI player in action. Gain insights into the broader implications and future potential of integrating these advanced technologies. Join us to explore the innovative intersection of NLP, AI, and game design.
Key takeaways:
* Gain a foundational understanding of NLP and the concept of word embeddings, with a focus on their application in semantic similarity tasks.
* Discover how genetic algorithms can be employed to create a sophisticated player for the Mystery-Word game. Understand the principles behind genetic algorithms and their optimization capabilities.
Based on my book 'Hands-On Genetic Algorithms with Python'
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