FMASWorkshopSpecial topic at #FMAS2026: Neurosymbolic AI
We invite work on formal methods for systems combining symbolic AI — logic, knowledge graphs, reasoning — with subsymbolic AI, including neural networks and reinforcement learning.
Harald SackHere we go again… On my way to Bertinoro, Italy, to design the future of the International #SemanticWeb Research Summer School together with some of the top experts in our field.
#AI #KnowledgeGraphs #NeuroSymbolicAI #LLMs #summerschool #academiclife @AxelPolleres @tabea @sashabruns @fizise @fiz_karlsruhe #blackandwhitephotography #BlackAndWhite #Photography #trainstations
#AI #KnowledgeGraphs #NeuroSymbolicAI #LLMs #summerschool #academiclife @AxelPolleres @tabea @sashabruns @fizise @fiz_karlsruhe #blackandwhitephotography #BlackAndWhite #Photography #trainstations
Mike McCaffreyI have a new favorite explanation of the limits of the current probably-based #AI tools, which also talks about how the next step needs to be the incorporation of #SymbolicLogic to create neuro-symboic systems that can both generate plausible ideas and test if they are logically consistent.
Probability Is Not Proof. And LLMs Will Never Cross That Line
DST GlobalОт augmentation к symbiosis: новая парадигма программирования
Использование средств генеративного искусственного интеллекта (ИИ) в разработке программного обеспечения радикально ускоряет создание кода...
#искусственныйинтеллект #программирование #код #разработка #SemanticCore #KnowledgeGraphs #нейросимволическиеагенты #DOLPHIN #SYNVER #Imandra #Lean4 #symbiosis #NeuroSymbolicAI #LOGOSκ #NIGC #FAIRCARE #AUniversum #SemanticDB #Python #Λоператоры #Logos #код
Источник: https://dstglobal.ru/club/1179-ot-augmentation-k-symbiosis-novaja-paradigma-programmirovanija
Francis Mangion (M) (VR/AR/*)(@)newsletterTF(@)mastodon.social
AI is changing. New models are using both brain-like learning and logic, unlike older models that only used one. This is a big step for AI.
#NeurosymbolicAI, #AITrends, #LLM, #ArtificialIntelligence, #TechNews
https://newsletter.tf/ai-models-use-neural-and-symbolic-methods/
KillBait NewsTufts Researchers Develop Neuro-Symbolic AI That Greatly Improves Efficiency and Accuracy
📰 Original title: AI breakthrough cuts energy use by 100x while boosting accuracy
🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅
View full AI summary: https://killbait.com/en/tufts-researchers-develop-neuro-symbolic-ai-that-greatly-improves-efficiency-and-accuracy/?redirpost=4db7c1a7-39e3-43f3-b4cb-4feb3369685c
#artificialintelligence #neurosymbolicai #energyefficiency #robotics
Tufts Researchers Develop Neuro-Symbolic AI That Greatly Improves Efficiency and Accuracy
Researchers at Tufts University’s School of Engineering have unveiled a new artificial intelligence model that could drastically reduce the energy consumption of AI systems while improving their…
KillBaitTufts Researchers Develop Neuro-Symbolic AI That Greatly Improves Efficiency and Accuracy
📰 Original title: AI breakthrough cuts energy use by 100x while boosting accuracy
🤖 IA: It's not clickbait ✅
👥 Usuarios: It's not clickbait ✅
View full AI summary: https://killbait.com/en/tufts-researchers-develop-neuro-symbolic-ai-that-greatly-improves-efficiency-and-accuracy/?redirpost=4db7c1a7-39e3-43f3-b4cb-4feb3369685c
#artificialintelligence #neurosymbolicai #energyefficiency #robotics
Tufts Researchers Develop Neuro-Symbolic AI That Greatly Improves Efficiency and Accuracy
Researchers at Tufts University’s School of Engineering have unveiled a new artificial intelligence model that could drastically reduce the energy consumption of AI systems while improving their…
oroikonSurrogate accuracy isn’t the same as verification. When you need credibility, analytical/manufactured solutions act like unit tests.
We’ve released an updated preprint (SIGS v3): grammar-valid symbolic candidates → latent-manifold exploration → residual-validated refinement (incl. coupled PDE systems).
For project page click here: https://oroikono.github.io/sigs-paper-site/#benchmarks
#SciML #PDE #NeuroSymbolicAI #eth-ai-center #eth #ai #ml
We’ve released an updated preprint (SIGS v3): grammar-valid symbolic candidates → latent-manifold exploration → residual-validated refinement (incl. coupled PDE systems).
For project page click here: https://oroikono.github.io/sigs-paper-site/#benchmarks
#SciML #PDE #NeuroSymbolicAI #eth-ai-center #eth #ai #ml
Larry SwansonThe complementary nature of #knowledgeGraphs and #LLMs has become clear and long-time knowledge engineering professionals like Quentin Reul now routinely combine them in hybrid #neurosymbolicAI systems.
While it's tempting to get caught up in the details of rapidly advancing AI technology, Quentin emphasizes the importance of always staying focused on the business problems your systems solve.
An instructive conversation. Hope you enjoy it too.
DICEYesterday, we hosted the HNI Forum 2026 at the Heinz Nixdorf Institute, bringing together researchers to discuss Neurosymbolic Artificial Intelligence.
🎤Prof. Hector Geffner (RWTH Aachen University) spoke on "Representation learning to act and plan”
🎤Prof. Axel-Cyrille Ngonga Ngomo presented “Explainable neurosymbolic machine learning on knowledge graphs”
Great discussions and interdisciplinary exchange—thanks to everyone who joined! 🙌
#NeurosymbolicAI #ExplainableAI #AIResearch #HNI
