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#computational — Public Fediverse posts

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

  1. @blog #epistemology #Wiktionary "The term was introduced into #English by #Scottish philosopher James Frederick #Ferrier ." the fundamental weakness and tragedy of the LLM is its inability to emulate #abductive reasoning well if at all. that is reasoning to the best expectation. regardless, they aid the brute forcing of #INFOSEC #vulnerabilities but at great #computational cost. TL;DR humans are better at defensive INFOSEC than "AI" but this is the answer no-one wants to hear right now.

  2. @blog #epistemology #Wiktionary "The term was introduced into #English by #Scottish philosopher James Frederick #Ferrier ." the fundamental weakness and tragedy of the LLM is its inability to emulate #abductive reasoning well if at all. that is reasoning to the best expectation. regardless, they aid the brute forcing of #INFOSEC #vulnerabilities but at great #computational cost. TL;DR humans are better at defensive INFOSEC than "AI" but this is the answer no-one wants to hear right now.

  3. @blog #epistemology #Wiktionary "The term was introduced into #English by #Scottish philosopher James Frederick #Ferrier ." the fundamental weakness and tragedy of the LLM is its inability to emulate #abductive reasoning well if at all. that is reasoning to the best expectation. regardless, they aid the brute forcing of #INFOSEC #vulnerabilities but at great #computational cost. TL;DR humans are better at defensive INFOSEC than "AI" but this is the answer no-one wants to hear right now.

  4. @blog #epistemology #Wiktionary "The term was introduced into #English by #Scottish philosopher James Frederick #Ferrier ." the fundamental weakness and tragedy of the LLM is its inability to emulate #abductive reasoning well if at all. that is reasoning to the best expectation. regardless, they aid the brute forcing of #INFOSEC #vulnerabilities but at great #computational cost. TL;DR humans are better at defensive INFOSEC than "AI" but this is the answer no-one wants to hear right now.

  5. @blog #epistemology #Wiktionary "The term was introduced into #English by #Scottish philosopher James Frederick #Ferrier ." the fundamental weakness and tragedy of the LLM is its inability to emulate #abductive reasoning well if at all. that is reasoning to the best expectation. regardless, they aid the brute forcing of #INFOSEC #vulnerabilities but at great #computational cost. TL;DR humans are better at defensive INFOSEC than "AI" but this is the answer no-one wants to hear right now.

  6. International Course on #Computational #SystemsBiology of #Cancer taking place at Institut Curie from September 21st – 25th, 2026 (Paris campus).

    The course will review current methods and tools for analysing and interpreting multimodal genomic data, with a focus on generative artificial intelligence and network approaches, as well as concrete applications related to cancer.

    More details and registration: training.institut-curie.org/co

  7. International Course on #Computational #SystemsBiology of #Cancer taking place at Institut Curie from September 21st – 25th, 2026 (Paris campus).

    The course will review current methods and tools for analysing and interpreting multimodal genomic data, with a focus on generative artificial intelligence and network approaches, as well as concrete applications related to cancer.

    More details and registration: training.institut-curie.org/co

  8. International Course on #Computational #SystemsBiology of #Cancer taking place at Institut Curie from September 21st – 25th, 2026 (Paris campus).

    The course will review current methods and tools for analysing and interpreting multimodal genomic data, with a focus on generative artificial intelligence and network approaches, as well as concrete applications related to cancer.

    More details and registration: training.institut-curie.org/co

  9. International Course on #Computational #SystemsBiology of #Cancer taking place at Institut Curie from September 21st – 25th, 2026 (Paris campus).

    The course will review current methods and tools for analysing and interpreting multimodal genomic data, with a focus on generative artificial intelligence and network approaches, as well as concrete applications related to cancer.

    More details and registration: training.institut-curie.org/co

  10. International Course on #Computational #SystemsBiology of #Cancer taking place at Institut Curie from September 21st – 25th, 2026 (Paris campus).

    The course will review current methods and tools for analysing and interpreting multimodal genomic data, with a focus on generative artificial intelligence and network approaches, as well as concrete applications related to cancer.

    More details and registration: training.institut-curie.org/co

  11. The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
    Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

    🚨 TOMORROW🚨
    ⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
    April 15th 2026
    12:30 - 14:00
    Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

    Programme :

    1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
    2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
    3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

    ➡️ Registration : services.hosting.augure.com/Re

  12. The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
    Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

    🚨 TOMORROW🚨
    ⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
    April 15th 2026
    12:30 - 14:00
    Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

    Programme :

    1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
    2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
    3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

    ➡️ Registration : services.hosting.augure.com/Re

  13. The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
    Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

    🚨 TOMORROW🚨
    ⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
    April 15th 2026
    12:30 - 14:00
    Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

    Programme :

    1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
    2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
    3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

    ➡️ Registration : services.hosting.augure.com/Re

  14. The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
    Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

    🚨 TOMORROW🚨
    ⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
    April 15th 2026
    12:30 - 14:00
    Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

    Programme :

    1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
    2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
    3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

    ➡️ Registration : services.hosting.augure.com/Re

  15. The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
    Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

    🚨 TOMORROW🚨
    ⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
    April 15th 2026
    12:30 - 14:00
    Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

    Programme :

    1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
    2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
    3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

    ➡️ Registration : services.hosting.augure.com/Re

  16. “The relevance of a simple mathematical model breaks down when applied to the human brain, she says. “I don’t think these models are bad,” she says. “They become problematic when people get set in a model that’s been made to explain a very nuanced piece of data, and use it to explain the brain.””

    nature.com/articles/d41586-026

    #neuroscience #dopamine #computational #ComputationalNeuroscience #modeling #data #brain

  17. “The relevance of a simple mathematical model breaks down when applied to the human brain, she says. “I don’t think these models are bad,” she says. “They become problematic when people get set in a model that’s been made to explain a very nuanced piece of data, and use it to explain the brain.””

    nature.com/articles/d41586-026

    #neuroscience #dopamine #computational #ComputationalNeuroscience #modeling #data #brain

  18. “The relevance of a simple mathematical model breaks down when applied to the human brain, she says. “I don’t think these models are bad,” she says. “They become problematic when people get set in a model that’s been made to explain a very nuanced piece of data, and use it to explain the brain.””

    nature.com/articles/d41586-026

    #neuroscience #dopamine #computational #ComputationalNeuroscience #modeling #data #brain

  19. “The relevance of a simple mathematical model breaks down when applied to the human brain, she says. “I don’t think these models are bad,” she says. “They become problematic when people get set in a model that’s been made to explain a very nuanced piece of data, and use it to explain the brain.””

    nature.com/articles/d41586-026

    #neuroscience #dopamine #computational #ComputationalNeuroscience #modeling #data #brain

  20. “The relevance of a simple mathematical model breaks down when applied to the human brain, she says. “I don’t think these models are bad,” she says. “They become problematic when people get set in a model that’s been made to explain a very nuanced piece of data, and use it to explain the brain.””

    nature.com/articles/d41586-026

    #neuroscience #dopamine #computational #ComputationalNeuroscience #modeling #data #brain

  21. A #Virtual #Cell is a comprehensive #Computational #Model that simulates the biological functions, physical interactions, and chemical processes of a living cell.

    These models are used by researchers to predict how cells respond to drugs, genetic mutations, or environmental changes without needing to perform every experiment in a physical laboratory.

    knowledgezone.co.in/kbits/69ba

  22. A is a comprehensive that simulates the biological functions, physical interactions, and chemical processes of a living cell.

    These models are used by researchers to predict how cells respond to drugs, genetic mutations, or environmental changes without needing to perform every experiment in a physical laboratory.

    knowledgezone.co.in/kbits/69ba

  23. A #Virtual #Cell is a comprehensive #Computational #Model that simulates the biological functions, physical interactions, and chemical processes of a living cell.

    These models are used by researchers to predict how cells respond to drugs, genetic mutations, or environmental changes without needing to perform every experiment in a physical laboratory.

    knowledgezone.co.in/kbits/69ba

  24. A #Virtual #Cell is a comprehensive #Computational #Model that simulates the biological functions, physical interactions, and chemical processes of a living cell.

    These models are used by researchers to predict how cells respond to drugs, genetic mutations, or environmental changes without needing to perform every experiment in a physical laboratory.

    knowledgezone.co.in/kbits/69ba

  25. A #Virtual #Cell is a comprehensive #Computational #Model that simulates the biological functions, physical interactions, and chemical processes of a living cell.

    These models are used by researchers to predict how cells respond to drugs, genetic mutations, or environmental changes without needing to perform every experiment in a physical laboratory.

    knowledgezone.co.in/kbits/69ba

  26. Ah yes, the riveting tale of Python's GIL: the most misunderstood three-letter acronym since 'LOL' 😂. The authors propose unlocking #Python #cores as though they're disarming a bomb - spoiler alert: it's #energy, not nuclear 💥. Thank goodness we have 2603.04782 pages of #academic #wisdom to light our path through the dark forest of #computational #efficiency 🌳🔦.
    arxiv.org/abs/2603.04782 #GIL #HackerNews #ngated

  27. Ah yes, the riveting tale of Python's GIL: the most misunderstood three-letter acronym since 'LOL' 😂. The authors propose unlocking #Python #cores as though they're disarming a bomb - spoiler alert: it's #energy, not nuclear 💥. Thank goodness we have 2603.04782 pages of #academic #wisdom to light our path through the dark forest of #computational #efficiency 🌳🔦.
    arxiv.org/abs/2603.04782 #GIL #HackerNews #ngated

  28. Ah yes, the riveting tale of Python's GIL: the most misunderstood three-letter acronym since 'LOL' 😂. The authors propose unlocking #Python #cores as though they're disarming a bomb - spoiler alert: it's #energy, not nuclear 💥. Thank goodness we have 2603.04782 pages of #academic #wisdom to light our path through the dark forest of #computational #efficiency 🌳🔦.
    arxiv.org/abs/2603.04782 #GIL #HackerNews #ngated

  29. Ah yes, the riveting tale of Python's GIL: the most misunderstood three-letter acronym since 'LOL' 😂. The authors propose unlocking #Python #cores as though they're disarming a bomb - spoiler alert: it's #energy, not nuclear 💥. Thank goodness we have 2603.04782 pages of #academic #wisdom to light our path through the dark forest of #computational #efficiency 🌳🔦.
    arxiv.org/abs/2603.04782 #GIL #HackerNews #ngated

  30. The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
    Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

    🚨 MARK YOUR CALENDAR 🚨
    ⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
    April 15th 2026
    12:30 - 14:00
    Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

    Programme :

    1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
    2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
    3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

    ➡️ Registration : services.hosting.augure.com/Re

  31. The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
    Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

    🚨 MARK YOUR CALENDAR 🚨
    ⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
    April 15th 2026
    12:30 - 14:00
    Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

    Programme :

    1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
    2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
    3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

    ➡️ Registration : services.hosting.augure.com/Re

  32. The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
    Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

    🚨 MARK YOUR CALENDAR 🚨
    ⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
    April 15th 2026
    12:30 - 14:00
    Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

    Programme :

    1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
    2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
    3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

    ➡️ Registration : services.hosting.augure.com/Re

  33. The Coordinated Action “Diagnostic, Therapeutic and Vaccine Viral Targets” of #ANRS MIE is organising a #webinar on #AI for molecular discovery. This webinar will explore how AI and #computational #modelling are advancing #drugdesign and protein research.
    Speakers will present approaches for molecular design, prediction of protein variant effects and dynamics, and structural modelling of protein–protein interactions. The session will also take a critical perspective, addressing current limitations in #cheminformatics and practical considerations for researchers.

    🚨 MARK YOUR CALENDAR 🚨
    ⚠️ AI for molecular discovery: From drug design to protein dynamics⚠️
    April 15th 2026
    12:30 - 14:00
    Wednesday April 15th 2026, from 12:30 to 14:00 — online (Zoom)

    Programme :

    1️⃣ "AI for drug design" — Dragos Horvath, Strasbourg University
    2️⃣ "Computational approaches for protein variant effect and motion prediction" — Elodie Laine, Sorbonne University
    3️⃣ "Structural modelling and binding affinity prediction of the Human PDZ-PBM interactome" — Victor Reys, Utrecht University

    ➡️ Registration : services.hosting.augure.com/Re