Journée « #IA et #Santé | Une journée consacrée au thème « de la santé globale à l’ère de l’IA » 🧠🥼
🗣️ Table ronde : "Recherche en IA et santé globale : la révolution de l’IA et les enjeux de recherche fondamentale à la fois en santé et en IA."
ℹ️ : https://t.co/g2J6Y5O8nP
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Greeks in AI 2025 will be the best 🇬🇷 tech event of the year.
The conference will bring together some of the brightest scientists, researchers and techies in the world.
Registrations are now officially open. Don’t miss out!
Open invitation to the first “Greeks in AI Symposium 2025”! Join us in Athens (Serafeio) on July 19–20 to connect, showcase, and celebrate Greek AI research. Registration opens March 20 at https://t.co/k8vWgvuiu5. Space is limited—secure your spot! #GreeksInAI
I am looking for a postdoctoral research associate to work on neurosymbolic methods for story understanding, as part of an EPSRC project on “Reasoning about Structured Story Representations”.
Details: https://t.co/xaneEPf71X
@Cardiff_NLP@cardiff_krr#NLProc#ML#neurosymbolic
#workshop Tony (Anthony) Cohn's keynote: Some Connections between Qualitative Spatial Reasoning and Machine Learning at the #W32 3rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024))
https://t.co/CswQ0lb7k6
#IJCAI2024
#Workshops#W32 3rd International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2024) invited talks @ #IJCAI2024:
🗣️Esra Erdem, @sabanciu
🗣️Renhe Jiang @JiangRenhe, University of Tokyo
🗣️Tony Cohn, University of Leeds @LeedsUniComp
➡️https://t.co/CswQ0lbF9E
As long as AI systems are trained to reproduce human-generated data (e.g. text) and have no search/planning/reasoning capability, performance will saturate below or around human level.
Furthermore, the amount of trials needed to reach that level will be far larger than the amount of trials needed to train humans.
LLMs are trained with 200,000 years worth of reading material and are still pretty dumb.
Their usefulness resides in their vast accumulated knowledge and language fluency. But they are still pretty dumb.