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  • Monthly Python Usergroup Zoom Meeting

    Online event

    ***Please Use Source Link Below to Confirm Event Details*** The monthly meetup consists of online talks followed by time for socializing. Talks can range from technical to not-so-much and cover a variety of topics. When we have speakers committed, their talk topic will be added to the meetup description. Thanks to the internet and the creativity of all involved parties, this monthly forum for learning and discourse is whatever we choose to make it. Let's get Pythonic about it, shall we? Sponsors welcome. Original Event: Monthly Python Usergroup Zoom Meeting

    Free

  • AI, ML, and Computer Vision Meetup

    Online via Zoom

    ***Please Use Source Link Below to Confirm Event Details*** Join our virtual meetup to hear talks from experts on cutting-edge topics across AI, ML, and computer vision. Topics include robust concept protection against diffusion-based image editing and personalization, and building scalable AI for scientific discovery. Original Event: AI, ML, and Computer Vision Meetup

    Free

  • CoreStory + GitHub Copilot: Turning Plausible Suggestions Into Correct Ones

    Online via Zoom

    ***Please Use Source Link Below to Confirm Event Details*** GitHub Copilot is powerful, but its effectiveness depends on context. By connecting CoreStory to Copilot through MCP, developers give Copilot persistent intelligence about their codebase, architecture, dependencies, and business logic. The result: more accurate suggestions, fewer hallucinations, fewer regressions, and code that works the first time. Join us for a live demo showing how CoreStory helps Copilot deliver smarter, more trustworthy results, and why teams have seen up to 44% better task resolution when AI agents work from CoreStory’s intelligence. Original Event: CoreStory + GitHub Copilot: Turning Plausible Suggestions Into Correct Ones

    Free

  • Reinforcement Learning: Topic TBA

    Online event

    ***Please Use Source Link Below to Confirm Event Details*** Typically covers material from the following textbook: Multi-Agent Reinforcement Learning: Foundations and Modern Approaches. As usual you can find below links to the textbook, previous chapter notes, slides, and recordings of some of the previous meetings. Original Event: Reinforcement Learning: Topic TBA

    Free