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.

Speaker Bio:

Eyal Wirsansky is a senior AI engineer and a data scientist, a seasoned software engineer, and a leader in the technology community.
With a career spanning over 25 years, Eyal has pioneered developments in Voice over IP, healthcare, software development tools, and drone technology. Eyal is also the author of Hands-On Genetic Algorithms with Python (Second Edition), a comprehensive guide to applying genetic algorithms to real-world AI and machine learning problems. Beyond his professional endeavors, Eyal serves as an adjunct professor at Jacksonville University, where he teaches artificial intelligence.