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Items tagged with: IJCNN2023
#News đą from #AI #research đ: âHow #ChatGPT đ» can benefit from human #brains đ§ - or how we teach #machines đ€ to #think đ€â
My colleague #Axel #Stöcker and I have already been able to conduct some very exciting interviews on this very topic in our #Zoomposium series â#Artificial #intelligence and its consequencesâ and â#Cognitive #neuroscience and #epistemologyâ.
One âhighlightâ, for example, was the very exciting interview âZoomposium with Dr. #Patrick #Krauss: âBauanleitung KĂŒnstliches Bewusstseinââ, in which we asked him about the possibilities of âhow the #theories of #consciousness - especially those of #Antonio #Damasio - could be used to develop artificial systems based on â#feltâ #information. This foundation could be used to #machine #learning and #deep #learning so that #AI #systems learn to respond to #emotions and #changes in their #environment in a similar way to #biological #organisms.
In this context #Patrick #Krauss was also currently at the â#Embodied and #Situated #Language #Processing (#ESLP2024) conference from 03 to 05 October 2024, which was organized by members of the â#Brain #Language #Labâ of the #FreienUniversitĂ€tBerlin. There he had the opportunity to present the latest research results together with his team from #FAU.
One of #Patrick #Krauss talks was about a study âAnalyzing Narrative Processing in Large Language Modelsâ, which he had conducted in collaboration with his colleague #Achim #Schilling. The results of this study are partly based on an article âLeaky-Integrate-and-Fire Neuron-Like Long-Short-Term-Memory Units as Model System in Computational Biologyâ, for which he and his team were awarded the #BestPaperAward at the âInternational Jount Conference on Neural Networks #IJCNN2023â, the world's largest interdisciplinary conference on #artificial and #biological #neural #networks.
These current results from AI research of #Patrick #Krauss are therefore a real âjointventureâ between #AI and #neuroscience, as the data and methods can contribute directly to the improvement of #large #language #models (#LLM), such as #ChatGPT, and in return the #cognitive #neurosciences can also learn something about the use and formation of #language in the #brain from this #implementation and #simulation of #cognitive #processes on #machines.
If you would like to learn more about #Patrick #Krauss ' very interesting #research #results, you can find out more here: