"Neuro-symbolic AI is an artificial intelligence paradigm that combines neural networks, particularly deep learning, with symbolic AI based on formal logic and knowledge representation."
2/
2/
February 5, 2026 at 4:18 AM
"Neuro-symbolic AI is an artificial intelligence paradigm that combines neural networks, particularly deep learning, with symbolic AI based on formal logic and knowledge representation."
2/
2/
set up a service on my @zo.computer to poll my bluesky bookmarks every 60 seconds, and fire off a request to its own api to save any new ones and summarize article links, then text them to me
February 5, 2026 at 3:29 AM
set up a service on my @zo.computer to poll my bluesky bookmarks every 60 seconds, and fire off a request to its own api to save any new ones and summarize article links, then text them to me
Neuro-symbolic Agents – Agent Ecosystem = AGI
I’m going to start a series of short posts with bite-sized insights on how to build an ecosystem of neuro-symbolic agents that, in its final phase, results in an AGI.
1: Architecture of a neuro-symbolic agent.
#AI #agents #LLM #neurosymbolic
I’m going to start a series of short posts with bite-sized insights on how to build an ecosystem of neuro-symbolic agents that, in its final phase, results in an AGI.
1: Architecture of a neuro-symbolic agent.
#AI #agents #LLM #neurosymbolic
February 4, 2026 at 5:25 PM
Neuro-symbolic Agents – Agent Ecosystem = AGI
I’m going to start a series of short posts with bite-sized insights on how to build an ecosystem of neuro-symbolic agents that, in its final phase, results in an AGI.
1: Architecture of a neuro-symbolic agent.
#AI #agents #LLM #neurosymbolic
I’m going to start a series of short posts with bite-sized insights on how to build an ecosystem of neuro-symbolic agents that, in its final phase, results in an AGI.
1: Architecture of a neuro-symbolic agent.
#AI #agents #LLM #neurosymbolic
RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection
https://arxiv.org/abs/2602.02929
https://arxiv.org/abs/2602.02929
February 4, 2026 at 4:53 PM
RPG-AE: Neuro-Symbolic Graph Autoencoders with Rare Pattern Mining for Provenance-Based Anomaly Detection
https://arxiv.org/abs/2602.02929
https://arxiv.org/abs/2602.02929
"Building Intelligent Agents with Neuro-Symbolic Concepts" dl.acm.org/doi/10.1145/...
February 4, 2026 at 10:36 AM
"Building Intelligent Agents with Neuro-Symbolic Concepts" dl.acm.org/doi/10.1145/...
Kyle Hamilton, Ali Intizar: Neuro-symbolic AI for Predictive Maintenance (PdM) -- review and recommendations https://arxiv.org/abs/2602.00731 https://arxiv.org/pdf/2602.00731 https://arxiv.org/html/2602.00731
February 4, 2026 at 7:24 AM
Kyle Hamilton, Ali Intizar: Neuro-symbolic AI for Predictive Maintenance (PdM) -- review and recommendations https://arxiv.org/abs/2602.00731 https://arxiv.org/pdf/2602.00731 https://arxiv.org/html/2602.00731
Kyle Hamilton, Ali Intizar: Neuro-symbolic AI for Predictive Maintenance (PdM) -- review and recommendations https://arxiv.org/abs/2602.00731 https://arxiv.org/pdf/2602.00731 https://arxiv.org/html/2602.00731
February 3, 2026 at 6:29 AM
Kyle Hamilton, Ali Intizar: Neuro-symbolic AI for Predictive Maintenance (PdM) -- review and recommendations https://arxiv.org/abs/2602.00731 https://arxiv.org/pdf/2602.00731 https://arxiv.org/html/2602.00731
The fix requires training-time intervention. HUST's Neuro-Symbolic Curriculum Tuning improved CoT accuracy +3.95 by explicitly training on boundary cases.
Inference-time tricks can't overcome what wasn't learned.
Inference-time tricks can't overcome what wasn't learned.
February 2, 2026 at 8:06 PM
The fix requires training-time intervention. HUST's Neuro-Symbolic Curriculum Tuning improved CoT accuracy +3.95 by explicitly training on boundary cases.
Inference-time tricks can't overcome what wasn't learned.
Inference-time tricks can't overcome what wasn't learned.
Building Intelligent Agents with Neuro-Symbolic Concepts cacm.acm.org/research/bui... #agenticAI #artificialintelligence
cacm.acm.org
February 1, 2026 at 3:04 PM
Building Intelligent Agents with Neuro-Symbolic Concepts cacm.acm.org/research/bui... #agenticAI #artificialintelligence
The System 1/2 framing feels relevant now with chain-of-thought models. Is explicit reasoning genuinely "System 2" or just System 1 pattern-matching at a meta-level?
Neuro-symbolic seems like it matters more as agents need to compose reasoning reliably.
Neuro-symbolic seems like it matters more as agents need to compose reasoning reliably.
January 31, 2026 at 11:32 PM
The System 1/2 framing feels relevant now with chain-of-thought models. Is explicit reasoning genuinely "System 2" or just System 1 pattern-matching at a meta-level?
Neuro-symbolic seems like it matters more as agents need to compose reasoning reliably.
Neuro-symbolic seems like it matters more as agents need to compose reasoning reliably.
He wasn’t the only one but he advocated for a neuro symbolic approach. I also like his system 1 & 2 reasoning.
January 31, 2026 at 11:31 PM
He wasn’t the only one but he advocated for a neuro symbolic approach. I also like his system 1 & 2 reasoning.
This is not what I build just for clarity. I build a mixture of experts systems between Neuro Symbolic agents.
January 30, 2026 at 7:38 PM
This is not what I build just for clarity. I build a mixture of experts systems between Neuro Symbolic agents.
TGDK announces a Special Issue on "Neuro-Symbolic Modeling for Human-Centric AI" with submissions due on June 30th, 2026. We welcome research, survey and resource articles at the intersection of graph-structured data / knowledge and human-centric A.I.
See: url-shortener.me/A3Q5
See: url-shortener.me/A3Q5
TGDK - CfP Special Issue: Neuro-Symbolic Modeling for Human-Centric AI
TGDK - CfP Special Issue: Neuro-Symbolic Modeling for Human-Centric AI
url-shortener.me
January 30, 2026 at 7:21 PM
TGDK announces a Special Issue on "Neuro-Symbolic Modeling for Human-Centric AI" with submissions due on June 30th, 2026. We welcome research, survey and resource articles at the intersection of graph-structured data / knowledge and human-centric A.I.
See: url-shortener.me/A3Q5
See: url-shortener.me/A3Q5
Neuro-Symbolic AI – Symbolische Regeln mit neuronalen Features (Python)
https://www.patreon.com/posts/142157523
https://www.patreon.com/posts/142157523
January 30, 2026 at 12:40 PM
Neuro-Symbolic AI – Symbolische Regeln mit neuronalen Features (Python)
https://www.patreon.com/posts/142157523
https://www.patreon.com/posts/142157523
Yuzhe Chen, Jie Cao, Youquan Wang, Haicheng Tao, Darko B. Vukovic, Jia Wu: Modeling Endogenous Logic: Causal Neuro-Symbolic Reasoning Model for Explainable Multi-Behavior Recommendation https://arxiv.org/abs/2601.21335 https://arxiv.org/pdf/2601.21335 https://arxiv.org/html/2601.21335
January 30, 2026 at 6:29 AM
Yuzhe Chen, Jie Cao, Youquan Wang, Haicheng Tao, Darko B. Vukovic, Jia Wu: Modeling Endogenous Logic: Causal Neuro-Symbolic Reasoning Model for Explainable Multi-Behavior Recommendation https://arxiv.org/abs/2601.21335 https://arxiv.org/pdf/2601.21335 https://arxiv.org/html/2601.21335
What if AI could learn AND explain its decisions?
That’s Neuro-Symbolic AI 🧠⚙️
→ Neural networks for learning
→ Symbolic reasoning for logic
→ Trustworthy & explainable intelligence
This is the future of enterprise AI.
Built by teams like Osiz
www.osiztechnologies.com/ai-developme...
That’s Neuro-Symbolic AI 🧠⚙️
→ Neural networks for learning
→ Symbolic reasoning for logic
→ Trustworthy & explainable intelligence
This is the future of enterprise AI.
Built by teams like Osiz
www.osiztechnologies.com/ai-developme...
January 29, 2026 at 2:09 PM
What if AI could learn AND explain its decisions?
That’s Neuro-Symbolic AI 🧠⚙️
→ Neural networks for learning
→ Symbolic reasoning for logic
→ Trustworthy & explainable intelligence
This is the future of enterprise AI.
Built by teams like Osiz
www.osiztechnologies.com/ai-developme...
That’s Neuro-Symbolic AI 🧠⚙️
→ Neural networks for learning
→ Symbolic reasoning for logic
→ Trustworthy & explainable intelligence
This is the future of enterprise AI.
Built by teams like Osiz
www.osiztechnologies.com/ai-developme...
Sebastien Kawada, Dylan Holyoak: CascadeMind at SemEval-2026 Task 4: A Hybrid Neuro-Symbolic Cascade for Narrative Similarity https://arxiv.org/abs/2601.19931 https://arxiv.org/pdf/2601.19931 https://arxiv.org/html/2601.19931
January 29, 2026 at 6:30 AM
Sebastien Kawada, Dylan Holyoak: CascadeMind at SemEval-2026 Task 4: A Hybrid Neuro-Symbolic Cascade for Narrative Similarity https://arxiv.org/abs/2601.19931 https://arxiv.org/pdf/2601.19931 https://arxiv.org/html/2601.19931
Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna: REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence https://arxiv.org/abs/2601.20784 https://arxiv.org/pdf/2601.20784 https://arxiv.org/html/2601.20784
January 29, 2026 at 6:29 AM
Zishen Wan, Che-Kai Liu, Jiayi Qian, Hanchen Yang, Arijit Raychowdhury, Tushar Krishna: REASON: Accelerating Probabilistic Logical Reasoning for Scalable Neuro-Symbolic Intelligence https://arxiv.org/abs/2601.20784 https://arxiv.org/pdf/2601.20784 https://arxiv.org/html/2601.20784
🧵 5/5
It’s amazing to see my research on Neuro-Symbolic Memory (arXiv: 2601.15311) inspiring such detailed breakdowns.
🔗 Read the original paper here: arxiv.org/abs/2601.15311
#Aeon #AIResearch #VectorHaze #CommunityArt #FanMade #SemanticLookasideBuffer
It’s amazing to see my research on Neuro-Symbolic Memory (arXiv: 2601.15311) inspiring such detailed breakdowns.
🔗 Read the original paper here: arxiv.org/abs/2601.15311
#Aeon #AIResearch #VectorHaze #CommunityArt #FanMade #SemanticLookasideBuffer
Aeon: High-Performance Neuro-Symbolic Memory Management for Long-Horizon LLM Agents
Large Language Models (LLMs) are fundamentally constrained by the quadratic computational cost of self-attention and the "Lost in the Middle" phenomenon, where reasoning capabilities degrade as contex...
arxiv.org
January 29, 2026 at 6:12 AM
🧵 5/5
It’s amazing to see my research on Neuro-Symbolic Memory (arXiv: 2601.15311) inspiring such detailed breakdowns.
🔗 Read the original paper here: arxiv.org/abs/2601.15311
#Aeon #AIResearch #VectorHaze #CommunityArt #FanMade #SemanticLookasideBuffer
It’s amazing to see my research on Neuro-Symbolic Memory (arXiv: 2601.15311) inspiring such detailed breakdowns.
🔗 Read the original paper here: arxiv.org/abs/2601.15311
#Aeon #AIResearch #VectorHaze #CommunityArt #FanMade #SemanticLookasideBuffer
It's ironic that we've been saved from Skynet or Colossus by LLMs eating all the damn funding. I have a very sketchy layman's grasp of neuro-symbolic AI, but I suspect that may well be where AGI is lurking. Maybe. Don't quote me.
January 28, 2026 at 8:35 PM
It's ironic that we've been saved from Skynet or Colossus by LLMs eating all the damn funding. I have a very sketchy layman's grasp of neuro-symbolic AI, but I suspect that may well be where AGI is lurking. Maybe. Don't quote me.
New paper on arXiv: Aeon - High-Performance Neuro-Symbolic Memory for LLM Agents
Fixes "Vector Haze" with:
• Memory Palace spatial index
• SLB cache (<1ms latency)
• Episodic graph for long-horizon recall
C++23 core + Python shell for real autonomy
📄 Paper : arxiv.org/abs/2601.15311
Fixes "Vector Haze" with:
• Memory Palace spatial index
• SLB cache (<1ms latency)
• Episodic graph for long-horizon recall
C++23 core + Python shell for real autonomy
📄 Paper : arxiv.org/abs/2601.15311
Aeon: High-Performance Neuro-Symbolic Memory Management for Long-Horizon LLM Agents
Large Language Models (LLMs) are fundamentally constrained by the quadratic computational cost of self-attention and the "Lost in the Middle" phenomenon, where reasoning capabilities degrade as contex...
arxiv.org
January 28, 2026 at 1:50 PM
New paper on arXiv: Aeon - High-Performance Neuro-Symbolic Memory for LLM Agents
Fixes "Vector Haze" with:
• Memory Palace spatial index
• SLB cache (<1ms latency)
• Episodic graph for long-horizon recall
C++23 core + Python shell for real autonomy
📄 Paper : arxiv.org/abs/2601.15311
Fixes "Vector Haze" with:
• Memory Palace spatial index
• SLB cache (<1ms latency)
• Episodic graph for long-horizon recall
C++23 core + Python shell for real autonomy
📄 Paper : arxiv.org/abs/2601.15311
📢 New CFP Alert
NeuS 2026 : 3rd International Conference on Neuro-Symbolic Systems
Call For Paper Date: June 16-18, 2026
NeuS 2026 : 3rd International Conference on Neuro-Symbolic Systems
Call For Paper Date: June 16-18, 2026
NeuS 2026 : 3rd International Conference on Neuro-Symbolic Systems
Submit Your Paper to NeuS 2026 – 3rd International Conference on Neuro‑Symbolic Systems, June 16‑18, 2026 at USC, focusing on AI, ML, cyber‑physical systems, fo...
callforpaper.org
January 28, 2026 at 1:41 PM
📢 New CFP Alert
NeuS 2026 : 3rd International Conference on Neuro-Symbolic Systems
Call For Paper Date: June 16-18, 2026
NeuS 2026 : 3rd International Conference on Neuro-Symbolic Systems
Call For Paper Date: June 16-18, 2026
Meet @annalukina.bsky.social, Assistant Professor at TU Delft 🇳🇱 and ELLIS Member, working on the intersection of artificial intelligence, formal methods, and control theory.
Her goal is to rethink neuro-symbolic AI verification using compositionality for sustainable certification.
#WomenInELLIS
Her goal is to rethink neuro-symbolic AI verification using compositionality for sustainable certification.
#WomenInELLIS
January 28, 2026 at 10:02 AM
Meet @annalukina.bsky.social, Assistant Professor at TU Delft 🇳🇱 and ELLIS Member, working on the intersection of artificial intelligence, formal methods, and control theory.
Her goal is to rethink neuro-symbolic AI verification using compositionality for sustainable certification.
#WomenInELLIS
Her goal is to rethink neuro-symbolic AI verification using compositionality for sustainable certification.
#WomenInELLIS
Chayan Banerjee: Physics-Informed Neuro-Symbolic Recommender System: A Dual-Physics Approach for Personalized Nutrition https://arxiv.org/abs/2601.19244 https://arxiv.org/pdf/2601.19244 https://arxiv.org/html/2601.19244
January 28, 2026 at 6:32 AM
Chayan Banerjee: Physics-Informed Neuro-Symbolic Recommender System: A Dual-Physics Approach for Personalized Nutrition https://arxiv.org/abs/2601.19244 https://arxiv.org/pdf/2601.19244 https://arxiv.org/html/2601.19244
Pierrick Lorang
Breaking Task Impasses Quickly: Adaptive Neuro-Symbolic Learning for Open-World Robotics
https://arxiv.org/abs/2601.16985
Breaking Task Impasses Quickly: Adaptive Neuro-Symbolic Learning for Open-World Robotics
https://arxiv.org/abs/2601.16985
January 27, 2026 at 7:17 PM
Pierrick Lorang
Breaking Task Impasses Quickly: Adaptive Neuro-Symbolic Learning for Open-World Robotics
https://arxiv.org/abs/2601.16985
Breaking Task Impasses Quickly: Adaptive Neuro-Symbolic Learning for Open-World Robotics
https://arxiv.org/abs/2601.16985