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The 50 most recent videos on this topic, about 28 hours of it.

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  1. Augmenting Threat Intel Analysis with Agents - Sai Kiran Uppu, Chris Wallis, Ramin Farassat - ASW #396Application Security Weekly (Video)1:09:00Notes
  2. Using LLMs for Vuln Discovery - Rishi Sharma - ASW #395Application Security Weekly (Video)1:09:11Notes
  3. Prompting for Patches That Fix Vulns Without Adding New Ones - Keith Hoodlet - ASW #394Application Security Weekly (Video)1:03:35Notes
  4. Inside the OWASP Agent Security Regression Harness Project - Mert Satilmaz - ASW #393Application Security Weekly (Video)1:09:55Notes
  5. MacOS Security Design Features, Flaws, And Futures - Patrick Wardle - ASW #392Application Security Weekly (Video)1:12:06Notes
  6. Discovering & Securing Your AI Agent Attack Surface - Jeremy Snyder - ASW #391Application Security Weekly (Video)1:07:29Notes
  7. Defense-in-depth strategies for securing mobile applications - Ryan Lloyd - ASW #390Application Security Weekly (Video)47:53Notes
  8. Reducing Attack Surface & Evaluating Efficiency in Agents - Itamar Apelblat, David Goldschlag - ASW #389Application Security Weekly (Video)1:12:39Notes
  9. How AI Is Reshaping Identity Security at the Infrastructure Layer - Ev Kontsevoy, Neha Duggal, Amit Masand - ASW #388Application Security Weekly (Video)1:10:01Notes
  10. Why Does It Matter Who or What Created the Code? - Matias Madou - ASW #387Application Security Weekly (Video)1:06:40Notes
  11. Green Building in the Age of Wild Fires with Drew HubbellEnergy Solutions (Video)42:47Notes
  12. Pragathi Jha, Modeling Cyber Adversaries: A Critical Survey of Methods and AssumptionsCERIAS Weekly Security Seminar - Purdue University49:53
  13. Smriti Bhatt, Evolving Security Landscape in the Agentic AI-Enabled IoT EraCERIAS Weekly Security Seminar - Purdue University59:19
  14. Gary Hayslip, The AI Arms RaceCERIAS Weekly Security Seminar - Purdue University52:14
  15. Brian Peretti, Symposium Closing Keynote: AI, Cybersecurity, and the Path ForwardCERIAS Weekly Security Seminar - Purdue University1:13:37
  16. Jen Sims, Analyzing Supply Chain Risk in Mobile Applications for Home Energy Storage SystemsCERIAS Weekly Security Seminar - Purdue University55:20
  17. Kelechi Kalu, Software Signing in Practice: Lessons from Adoption and Usability Toward Broader Supply Chain TrustCERIAS Weekly Security Seminar - Purdue University1:03:42
  18. Ruqi Zhang, Discovering and Controlling AI Safety Risks in Foundation Models: A Probabilistic PerspectiveCERIAS Weekly Security Seminar - Purdue University59:26
  19. Danny Vukobratovich, ISO 27001 as the Engine, NIST CSF 2.0 as the Dashboard, A Practical Operating ModelCERIAS Weekly Security Seminar - Purdue University1:03:15
  20. Thai Le, Towards Robust and Trustworthy AI Speech Models: What You Read Isn't What You HearCERIAS Weekly Security Seminar - Purdue University38:41
  21. Water Wealth and the Ancestral Circular Economy with Kamanamaikalani BeamerEnergy Solutions (Video)56:18Notes
  22. Economics Always Wins: Climate and Electrification in the 21st Century with Tom SteyerEnergy Solutions (Video)45:59Notes
  23. The Challenge of Building Better BatteriesEnergy Solutions (Video)26:20Notes
  24. The Moral Economy of Resource Extraction and the Future of IndustrializationEnergy Solutions (Video)1:20:24Notes
  25. The Deadly Trade in Oil and GasEnergy Solutions (Video)1:27:32Notes
  26. How to Get Big Oil to Take Climate Change SeriouslyEnergy Solutions (Video)28:31Notes
  27. Can a New Chemical Industry Help the Environment?Energy Solutions (Video)28:31Notes
  28. Microscale Thermal-Fluids Engineering for Energy and Water ApplicationsEnergy Solutions (Video)26:19Notes
  29. [Generative AI & Engineering Application] Lec 16. Gen AI for Image, GAN Architecture & Loss FunctionChat GPT-X and Generative Models for EM Systems DesignNotes
  30. [Generative AI & Engineering Application] Lec 15. Cross-attention in transformer encoder-decoderChat GPT-X and Generative Models for EM Systems DesignNotes
  31. [Generative AI & Engineering Application] Lec 14. Multi-head attentions in transformer encoderChat GPT-X and Generative Models for EM Systems DesignNotes
  32. [Generative AI & Engineering Application] Lec 13. Attention is all you needChat GPT-X and Generative Models for EM Systems DesignNotes
  33. [Generative AI & Engineering Application] Lec 12. Back Propagations in RNNChat GPT-X and Generative Models for EM Systems DesignNotes
  34. [Generative AI & Engineering Application] Lec 11. Sequential generative AI with RNNChat GPT-X and Generative Models for EM Systems DesignNotes
  35. [Generative AI & Engineering Application] Lec 10. Overall Perspectives of Gen-AI ArchitectureChat GPT-X and Generative Models for EM Systems DesignNotes
  36. [Generative AI & Engineering Application] Lec 9. Generative AI Architecture & Entropy LossChat GPT-X and Generative Models for EM Systems DesignNotes
  37. [Generative AI & Engineering Application] Lec 7. GPT-collaborated IL for Hybrid Bonding TSVChat GPT-X and Generative Models for EM Systems DesignNotes
  38. [Generative AI & Engineering Application] Lec 6. Loss Function of Generative AI (Entropy & KLD)Chat GPT-X and Generative Models for EM Systems DesignNotes
  39. How Modern Slavery Touches EveryoneEnergy Solutions (Video)1:23:41Notes
  40. Math 401 - Finishing Graph theory + CryptographyMath 401 - Applications of Linear AlgebraNotes
  41. Math 401 - Graph theoryMath 401 - Applications of Linear AlgebraNotes
  42. Math 401 Online Lecture 6 - Character RecognitionMath 401 - Applications of Linear AlgebraNotes
  43. Math 401 Online Lecture 5 - Image Compression and Character RecognitionMath 401 - Applications of Linear AlgebraNotes
  44. Math 401 Online Lecture 4 - More SVD + ApplicationsMath 401 - Applications of Linear AlgebraNotes
  45. Math 401 Online Lecture 3 - Applications of SVDMath 401 - Applications of Linear AlgebraNotes
  46. Math 401 Online Lecture 2 - More Pagerank, some SVDMath 401 - Applications of Linear AlgebraNotes
  47. Math 401 Online Lecture 1 (Pagerank + Markov Chains)Math 401 - Applications of Linear AlgebraNotes
  48. 19 Oct 2016, ASTRO Class, Tom Loredo, “Hierarchical Bayesian Modeling”Fall 2016 Course: Analytical Methods & Applications to Astrophysics & AstronomyNotes
  49. 02 Nov 2016, ASTRO Class, Hyungsuk Tak, “Strong Lens Time Delay Estimation”Fall 2016 Course: Analytical Methods & Applications to Astrophysics & AstronomyNotes
  50. 26 Oct 2016, ASTRO Class, Jessi Cisewski, "Approximate Bayesian Computation"Fall 2016 Course: Analytical Methods & Applications to Astrophysics & AstronomyNotes