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New York AI, Machine Learning and Computer Vision Meetup

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About this event

What to expect

The New York AI, Machine Learning and Computer Vision Meetup offers a virtual, speaker-led session designed for data scientists, ML engineers, and open-source enthusiasts to explore cutting-edge AI topics. This is a multi-topic, online meetup focused on the latest developments in AI, machine learning, and computer vision, with talks tailored to practitioners who want to stay at the forefront of the field. Attendees can expect technical depth, practical insights, and opportunities to engage with researchers and industry practitioners.

Key details:

  • Date: March 5, 2026
  • Time: 9:00–11:00 AM Pacific / online (registered participants may receive Zoom details)
  • Format: Virtual meetup with talks, Q&A, and potential demos
  • Organiser: New York AI, Machine Learning and Computer Vision Meetup
  • Access: Online (virtual event)

Current speaker lineup highlights include:

  • MOSPA: Spatial Audio-Driven Human Motion — exploring how spatial audio signals influence human motion in animation, with a diffusion-based framework to synthesize motion conditioned on spatial audio inputs.
  • Securing the Autonomous Future: Navigating the Intersection of Agentic AI, Connected Devices, and Cyber Resilience — a discussion on security, trust, and governance in autonomous AI-enabled ecosystems.
  • Plugins as Products: Bringing Visual AI Research into Real-World Workflows with FiftyOne — examining how visualization and plugin ecosystems can accelerate practical AI workflows.
  • Transforming Business with Agentic AI — real-world use cases showing how autonomous AI agents can drive efficiency across industries.

What you’ll gain:

  • Exposure to state-of-the-art research and practical applications in AI, ML, and CV
  • Insights into agentic AI, edge AI, and visual AI workflows
  • A chance to connect with peers, potential collaborators, and speakers from academia and industry
  • Practical patterns and frameworks you can apply to ongoing projects

Who should attend:

  • Data scientists, ML engineers, researchers, and software developers curious about AI-enabled systems
  • Builders exploring no-code/low-code approaches to AI workflows (and those curious about extending them with real AI capabilities)
  • Anyone interested in the intersection of AI, autonomy, and visual technologies

Registration:

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