Cleveland AI+Data Meetup at Baldwin Wallace
The evolution of artificial intelligence has moved through four distinct waves, transitioning from the “brute-force” logic of Deep Blue to the 2012 rise of supervised learning with AlexNet and the 2022 “ChatGPT moment” driven by transformer-based large language models.
In 2026, the “modern meta” for machine learning involves leveraging massive AI lab investments by using foundational models rather than training from scratch, which lowers barriers to entry and requires less data. Current practitioners follow a workflow of defining a problem, identifying modalities, and mapping tasks to foundational baselines like CLIP for semantic search, DINOv3 for fine-grained recognition, or Segment Anything (SAM) for promptable segmentation.
This shift allows for “foundational visual intelligence” that can perform thousands of tasks, effectively moving computer vision toward an end-to-end multi-modal future.
Computer Vision: Lessons from the Past, Signals for the Future Video on YouTube.com
Computer Vision: Lessons from the Past, Signals for the Future Presentation Slides
Connect with Sanctuary Software at the next Cleveland AI+Data Meetup
