Dingli / Farrugia Neuro-Symbolic AI

Design transparent and trustworthy systems that understand the world as you do
1. Auflage 2024
ISBN: 978-1-80461-695-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 196 Seiten

No detailed description available for "Neuro-Symbolic AI".

Autoren/Hrsg.

Dingli, Alexiei

Farrugia, David

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Rechnerarchitektur
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Neuronale Netzwerke

Inhaltsverzeichnis

Table of Contents - The Evolution and Pitfalls of AI
- The Rise and Fall of Symbolic AI
- The Neural Networks Revolution
- The Need for Explainable AI
- Introducing Neuro-Symbolic AI: The Next Level of AI
- A Marriage of Neurons and Symbols: Opportunities and Obstacles
- Applications of Neuro-Symbolic AI
- Neuro-Symbolic Programming in Python
- The Future of AI

Über Autor(innen)

Dingli Alexiei :

Alexiei Dingli is a professor of artificial intelligence at the University of Malta. As an AI expert with over two decades of experience, his research has helped numerous companies around the world successfully implement AI solutions. His work has been recognized globally, with international experts rating it as world-class. He is a recipient of multiple prestigious awards, including those from the European Space Agency, the World Intellectual Property Organization, and the United Nations, to name a few. With a rich collection of peer-reviewed publications to his name, he is also an esteemed member of the Malta.AI task force, which was established by the Maltese government to propel Malta to the forefront of the global AI landscape.Farrugia David :

David Farrugia is a seasoned data scientist and a Ph.D. candidate in AI at the University of Malta. David Farrugia has worked in diverse industries, including gaming, manufacturing, customer relationship management, affiliate marketing, and anti-fraud. He has an interest in exploring the intersection of business and academic research. He also believes that the emerging field of neuro-symbolic AI has the potential to revolutionize the way we approach AI and solve some of the most complex problems in the world.