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Philo Sophies

📢 from 📂: “How 💻 can benefit from human 🧠 - or how we teach 🤖 to 🤓

My colleague and I have already been able to conduct some very exciting interviews on this very topic in our series “ and its consequences” and “ and ”.

One “highlight”, for example, was the very exciting interview “Zoomposium with Dr. : ‘Bauanleitung Künstliches Bewusstsein’“, in which we asked him about the possibilities of ‘how the of - especially those of - could be used to develop artificial systems based on ’. This foundation could be used to and so that learn to respond to and in their in a similar way to .

In this context was also currently at the „ and () conference from 03 to 05 October 2024, which was organized by members of the „ “ of the . There he had the opportunity to present the latest research results together with his team from .

One of talks was about a study „Analyzing Narrative Processing in Large Language Models”, which he had conducted in collaboration with his colleague . The results of this study are partly based on an article “Leaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biology”, for which he and his team were awarded the at the „International Jount Conference on Neural Networks ”, the world's largest interdisciplinary conference on and .

These current results from AI research of are therefore a real „jointventure” between and , as the data and methods can contribute directly to the improvement of (), such as , and in return the can also learn something about the use and formation of in the from this and of on .

If you would like to learn more about ' very interesting , you can find out more here:

ai.fau.digital/speakers/dr-pat

or at: philosophies.de/index.php/2023