8 tracked signals on computer-vision.
Building Closed-Loop Evals for a Multimodal Agent at Scale — Soumya Gupta & Jai Chopra, Uber
AI Engineer · Jul 24, 2026
Uber built a multimodal AI agent to enhance merchant food photos at scale without looking AI-generated
“we're threading the needle here. We need to be able to stay faithful to the original image, preserve the brand of the merchant, and avoid everything looking the same.”
Inside Instacart's AI-Powered Smart Shopping Cart | NVIDIA AI Podcast Ep. 302
NVIDIA GTC · Jun 24, 2026
Instacart's AI-powered Caper Carts and connected-store tech aim to unify in-store and online grocery shopping within 5-10 years.
“Our view is that in five to 10 years, customers shouldn't have to think about shopping in store or online.”
Real-time golf swing coaching with Gemini 3.8 Live
Google Developers (Google I/O) · Oct 07, 2026
Google demos real-time AI golf coaching using Gemini with 120fps motion capture
“Behind the scenes, what's happening is we are using motion capture cameras at a 120 fps, capturing all those stills, feeding those into Gemini 3.8 to do the heavy thinking.”
Research to Reality: Bringing Frontier ML Research to Production - Vaidas Razgaitis, Higharc
AI Engineer · Jun 28, 2026
Higharc's labs team uses a systems-and-process approach to move frontier ML research into production via three focus areas.
“How do we facilitate that and how do we do it productively? And we look at this basically as a systems and process problem”
Object detection with Amazon Nova 2 Lite
AWS Machine Learning Blog · Jun 02, 2026
Amazon Nova 2 Lite enables zero-shot object detection via natural language prompts with no model training required.
“This multimodal foundation model detects objects through natural language prompts with no training required.”
Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3
AWS Machine Learning Blog · Oct 26, 2026
AWS updates fleet-scale edge CV MLOps pattern using SageMaker SDK v3 and Neo compilation
“The real problem is no longer training one model well. It's training, evaluating, versioning, and shipping thousands of them without a human in the loop for each one.”
How Tata Elxsi detects industrial safety risks in seconds on AWS
AWS Machine Learning Blog · Sep 22, 2026
Tata Elxsi built IRIS, an AWS edge-based computer vision platform detecting industrial safety risks in seconds.
“Detection of unsafe conditions typically takes 15–45 minutes, depending on operator availability.”
A camera that can see through walls
Y Combinator · Oct 02, 2026
Applied Electrodynamics built a radar camera that images through walls in 3D using GPUs
“the whole GPU revolution allows you to process them "on the fly" and generate these images”