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#neurosymbolicai — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #neurosymbolicai, aggregated by home.social.

  1. От 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: dstglobal.ru/club/1179-ot-augm

  2. От 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: dstglobal.ru/club/1179-ot-augm

  3. От 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: dstglobal.ru/club/1179-ot-augm

  4. От 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: dstglobal.ru/club/1179-ot-augm

  5. От 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: dstglobal.ru/club/1179-ot-augm

  6. The Quiet Ascendancy of Hybrid Intelligence

    AI models like o3 and Grok 4 combine neural networks with symbolic reasoning since July 2025, aiming for more reliable and understandable AI.

    #NeurosymbolicAI, #AITrends, #LLM, #ArtificialIntelligence, #TechNews

    newsletter.tf/ai-models-use-ne

  7. The Quiet Ascendancy of Hybrid Intelligence

    AI models like o3 and Grok 4 combine neural networks with symbolic reasoning since July 2025, aiming for more reliable and understandable AI.

    #NeurosymbolicAI, #AITrends, #LLM, #ArtificialIntelligence, #TechNews

    newsletter.tf/ai-models-use-ne

  8. The Quiet Ascendancy of Hybrid Intelligence

    AI models like o3 and Grok 4 combine neural networks with symbolic reasoning since July 2025, aiming for more reliable and understandable AI.

    #NeurosymbolicAI, #AITrends, #LLM, #ArtificialIntelligence, #TechNews

    newsletter.tf/ai-models-use-ne

  9. The Quiet Ascendancy of Hybrid Intelligence

    AI models like o3 and Grok 4 combine neural networks with symbolic reasoning since July 2025, aiming for more reliable and understandable AI.

    #NeurosymbolicAI, #AITrends, #LLM, #ArtificialIntelligence, #TechNews

    newsletter.tf/ai-models-use-ne

  10. The Quiet Ascendancy of Hybrid Intelligence

    AI models like o3 and Grok 4 combine neural networks with symbolic reasoning since July 2025, aiming for more reliable and understandable AI.

    #NeurosymbolicAI, #AITrends, #LLM, #ArtificialIntelligence, #TechNews

    newsletter.tf/ai-models-use-ne

  11. Tufts 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: killbait.com/en/tufts-research

    #artificialintelligence #neurosymbolicai #energyefficiency #robotics

  12. Tufts 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: killbait.com/en/tufts-research

    #artificialintelligence #neurosymbolicai #energyefficiency #robotics

  13. Tufts 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: killbait.com/en/tufts-research

    #artificialintelligence #neurosymbolicai #energyefficiency #robotics

  14. Surrogate 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: oroikono.github.io/sigs-paper-
    #SciML #PDE #NeuroSymbolicAI #eth-ai-center #eth #ai #ml

  15. The 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.

    knowledgegraphinsights.com/que

  16. The 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.

    knowledgegraphinsights.com/que

  17. The 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.

    knowledgegraphinsights.com/que

  18. The 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.

    knowledgegraphinsights.com/que

  19. Yesterday, I had the honor to deliver an invited talk with the title "Convenience vs Competence: the Evolving Role of Foundational Knowledge in AI-Driven Research" at the new year's receiption of the computer science faculty at Friedrich-Schiller-Universität Jena. Very happy to be at the place again, where I did my first PostDoc more than 20 years ago and meeting many old friends. :)

    @fiz_karlsruhe @fizise @jkbeetle #AI #NeurosymbolicAI #knowledgegraphs #ontologies @nfdi4culture @NFDI4DS

  20. Yesterday, I had the honor to deliver an invited talk with the title "Convenience vs Competence: the Evolving Role of Foundational Knowledge in AI-Driven Research" at the new year's receiption of the computer science faculty at Friedrich-Schiller-Universität Jena. Very happy to be at the place again, where I did my first PostDoc more than 20 years ago and meeting many old friends. :)

    @fiz_karlsruhe @fizise @jkbeetle #AI #NeurosymbolicAI #knowledgegraphs #ontologies @nfdi4culture @NFDI4DS

  21. Yesterday, I had the honor to deliver an invited talk with the title "Convenience vs Competence: the Evolving Role of Foundational Knowledge in AI-Driven Research" at the new year's receiption of the computer science faculty at Friedrich-Schiller-Universität Jena. Very happy to be at the place again, where I did my first PostDoc more than 20 years ago and meeting many old friends. :)

    @fiz_karlsruhe @fizise @jkbeetle #AI #NeurosymbolicAI #knowledgegraphs #ontologies @nfdi4culture @NFDI4DS

  22. Yesterday, I had the honor to deliver an invited talk with the title "Convenience vs Competence: the Evolving Role of Foundational Knowledge in AI-Driven Research" at the new year's receiption of the computer science faculty at Friedrich-Schiller-Universität Jena. Very happy to be at the place again, where I did my first PostDoc more than 20 years ago and meeting many old friends. :)

    @fiz_karlsruhe @fizise @jkbeetle #AI #NeurosymbolicAI #knowledgegraphs #ontologies @nfdi4culture @NFDI4DS

  23. 📣 3x 6-month #internships at Wimmics for M2 students! Work on #NeuroSymbolicAI at the intersection of #MachineLearning & #KnowledgeGraphs: analogical reasoning, KG tasks, structured memory, #RAG, #GraphRAG, #LLM. Co-supervision:
    @fabien_gandon
    & Ndeye-Emilie Mbengue.
    📍 Where: Sophia Antipolis (France)
    ⏳ Duration: 6 months
    Details below!

  24. 📣 3x 6-month #internships at Wimmics for M2 students! Work on #NeuroSymbolicAI at the intersection of #MachineLearning & #KnowledgeGraphs: analogical reasoning, KG tasks, structured memory, #RAG, #GraphRAG, #LLM. Co-supervision:
    @fabien_gandon
    & Ndeye-Emilie Mbengue.
    📍 Where: Sophia Antipolis (France)
    ⏳ Duration: 6 months
    Details below!

  25. 📣 3x 6-month #internships at Wimmics for M2 students! Work on #NeuroSymbolicAI at the intersection of #MachineLearning & #KnowledgeGraphs: analogical reasoning, KG tasks, structured memory, #RAG, #GraphRAG, #LLM. Co-supervision:
    @fabien_gandon
    & Ndeye-Emilie Mbengue.
    📍 Where: Sophia Antipolis (France)
    ⏳ Duration: 6 months
    Details below!

  26. "Today’s eye-popping AI valuations are partly based on the assumption that LLMs are the main game in town — and can only be exploited by the current capex and capital-heavy approach that Big Tech is unleashing.

    But when the Chinese company DeepSeek released its models earlier this year, it showed there are ways to build cheaper, scaled-down variants of AI, raising the prospect that LLMs will become commoditised. And LeCun is not the only player who thinks current LLMs might be supplanted.

    The tech behemoth IBM says it is developing variants of so-called neuro-symbolic AI. “By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of humanlike symbolic knowledge and reasoning, we’re aiming to create a revolution in AI, rather than an evolution,” it explains.

    Chinese and western researchers are also exploring variants of neuro-symbolic AI while Fei-Fei Li, the so-called “Godmother of AI”, is developing a world model version called “spatial intelligence”.

    None of these alternatives seems ready to fly right now; indeed LeCun acknowledges huge practical impediments to his dream. But if they do ever work, it would raise many questions."

    ft.com/content/e05dc217-40f8-4

    #AI #GenerativeAI #LLMs #NeuroSymbolicAI #WorldModels

  27. "Today’s eye-popping AI valuations are partly based on the assumption that LLMs are the main game in town — and can only be exploited by the current capex and capital-heavy approach that Big Tech is unleashing.

    But when the Chinese company DeepSeek released its models earlier this year, it showed there are ways to build cheaper, scaled-down variants of AI, raising the prospect that LLMs will become commoditised. And LeCun is not the only player who thinks current LLMs might be supplanted.

    The tech behemoth IBM says it is developing variants of so-called neuro-symbolic AI. “By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of humanlike symbolic knowledge and reasoning, we’re aiming to create a revolution in AI, rather than an evolution,” it explains.

    Chinese and western researchers are also exploring variants of neuro-symbolic AI while Fei-Fei Li, the so-called “Godmother of AI”, is developing a world model version called “spatial intelligence”.

    None of these alternatives seems ready to fly right now; indeed LeCun acknowledges huge practical impediments to his dream. But if they do ever work, it would raise many questions."

    ft.com/content/e05dc217-40f8-4

    #AI #GenerativeAI #LLMs #NeuroSymbolicAI #WorldModels

  28. "Today’s eye-popping AI valuations are partly based on the assumption that LLMs are the main game in town — and can only be exploited by the current capex and capital-heavy approach that Big Tech is unleashing.

    But when the Chinese company DeepSeek released its models earlier this year, it showed there are ways to build cheaper, scaled-down variants of AI, raising the prospect that LLMs will become commoditised. And LeCun is not the only player who thinks current LLMs might be supplanted.

    The tech behemoth IBM says it is developing variants of so-called neuro-symbolic AI. “By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of humanlike symbolic knowledge and reasoning, we’re aiming to create a revolution in AI, rather than an evolution,” it explains.

    Chinese and western researchers are also exploring variants of neuro-symbolic AI while Fei-Fei Li, the so-called “Godmother of AI”, is developing a world model version called “spatial intelligence”.

    None of these alternatives seems ready to fly right now; indeed LeCun acknowledges huge practical impediments to his dream. But if they do ever work, it would raise many questions."

    ft.com/content/e05dc217-40f8-4

    #AI #GenerativeAI #LLMs #NeuroSymbolicAI #WorldModels

  29. "Today’s eye-popping AI valuations are partly based on the assumption that LLMs are the main game in town — and can only be exploited by the current capex and capital-heavy approach that Big Tech is unleashing.

    But when the Chinese company DeepSeek released its models earlier this year, it showed there are ways to build cheaper, scaled-down variants of AI, raising the prospect that LLMs will become commoditised. And LeCun is not the only player who thinks current LLMs might be supplanted.

    The tech behemoth IBM says it is developing variants of so-called neuro-symbolic AI. “By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of humanlike symbolic knowledge and reasoning, we’re aiming to create a revolution in AI, rather than an evolution,” it explains.

    Chinese and western researchers are also exploring variants of neuro-symbolic AI while Fei-Fei Li, the so-called “Godmother of AI”, is developing a world model version called “spatial intelligence”.

    None of these alternatives seems ready to fly right now; indeed LeCun acknowledges huge practical impediments to his dream. But if they do ever work, it would raise many questions."

    ft.com/content/e05dc217-40f8-4

    #AI #GenerativeAI #LLMs #NeuroSymbolicAI #WorldModels

  30. Open PhD/Junior Researcher Position in Neurosymbolic AI and Information Extraction on historical documents at FIZ Karlsruhe - Knowledge-driven AI research group (former ISE research group), starting at Jan 1, 2026.
    Application Deadline: Oct 31, 2025
    fiz-karlsruhe.de/en/stellenanz

    #jobadvertisement #phd #AI #neurosymbolicAI #informationextraction #machinelearning #knmowledgegraphs #ontologies @fiz_karlsruhe @fizise #dh #culturalheritage @nfdi4culture @MahsaVafaie @tabea @sourisnumerique @enorouzi

  31. Open PhD/Junior Researcher Position in Neurosymbolic AI and Information Extraction on historical documents at FIZ Karlsruhe - Knowledge-driven AI research group (former ISE research group), starting at Jan 1, 2026.
    Application Deadline: Oct 31, 2025
    fiz-karlsruhe.de/en/stellenanz

    #jobadvertisement #phd #AI #neurosymbolicAI #informationextraction #machinelearning #knmowledgegraphs #ontologies @fiz_karlsruhe @fizise #dh #culturalheritage @nfdi4culture @MahsaVafaie @tabea @sourisnumerique @enorouzi

  32. Open PhD/Junior Researcher Position in Neurosymbolic AI and Information Extraction on historical documents at FIZ Karlsruhe - Knowledge-driven AI research group (former ISE research group), starting at Jan 1, 2026.
    Application Deadline: Oct 31, 2025
    fiz-karlsruhe.de/en/stellenanz

    #jobadvertisement #phd #AI #neurosymbolicAI #informationextraction #machinelearning #knmowledgegraphs #ontologies @fiz_karlsruhe @fizise #dh #culturalheritage @nfdi4culture @MahsaVafaie @tabea @sourisnumerique @enorouzi

  33. Open PhD/Junior Researcher Position in Neurosymbolic AI and Information Extraction on historical documents at FIZ Karlsruhe - Knowledge-driven AI research group (former ISE research group), starting at Jan 1, 2026.
    Application Deadline: Oct 31, 2025
    fiz-karlsruhe.de/en/stellenanz

    #jobadvertisement #phd #AI #neurosymbolicAI #informationextraction #machinelearning #knmowledgegraphs #ontologies @fiz_karlsruhe @fizise #dh #culturalheritage @nfdi4culture @MahsaVafaie @tabea @sourisnumerique @enorouzi

  34. 📢 Check out the call for papers for the special issue of the new Neurosymbolic AI Journal on "Knowledge Graphs and Neurosymbolic AI".
    📌 Deadline May 31, 2024.
    📗Contributions may include full papers, dataset descriptions, survey papers, application reports and reports on tools and systems.
    Editors: Marta Sabou, Raghava Mutharaju, Frank van Harmelen

    neurosymbolic-ai-journal.com/c

    #neurosymbolicAI #AI #knowledgeengineering #knowledgegraphs #semanticweb #machinelearning #humancentric
    via #linkedIn