Computer Vision Insights

From Pixels to Impact: For Leaders Building AI that Matters

Close the gap between algorithm and impact — for people, planet, and science.

What You’ll Get

Each issue has two parts:

  1. The Deep Dive: An authoritative, easy-to-digest essay on a critical theme for impactful vision AI — like oversight, distribution shift, foundation models, or ROI. These deep dives help you frame challenges the right way and make smarter strategic decisions.

  2. Curated Insights: Hand-picked highlights from the latest research papers, blogs, podcasts, and industry discussions — with my short take on why they matter. Save time, stay sharp, and see the signal through the noise.

Why Subscribe?

  • Actionable frameworks for making vision AI succeed in the real world

  • Cross-domain lessons from pathology, earth observation, agriculture, and beyond

  • Insights trusted by startup founders, pharma executives, EO leaders, and investors

  • Delivered weekly. Easy to read, easy to unsubscribe.

Who It’s For

If you’re leading or investing in AI efforts and care about:

  • Translating models into impact, not just prototypes

  • Anticipating risks before they cost millions

  • Scaling responsibly across domains

  • Staying on top of the latest research without drowning in noise

…then this newsletter is designed for you.

Expertise You Can Trust

Written by Heather D. Couture, PhD — computer vision researcher with 20 years of experience, consultant to startups and pharma teams, and host of the Impact AI podcast.

Curious What It Looks Like?

Check out past issues in the archive — see how I unpack problems like " bias," “distribution shift,” and “foundation model risk” in real-world settings.



Still Not Sure?

Here are some comments from regular readers:

“I really love your posts and think they are immediately relevant and applicable. Not the usual speculative high level stuff. Keep it coming.”

“I have been following you for quite some time now and I find your blog posts and your discussions always very useful for the community.”

“Thanks for the super informative mails. Nice to see what others are reading and what literature I’ve missed :)”