Neurolabs uses synthetic images to update computer vision models within hours instead of weeks e.g for supermarket checkouts.
Read MoreArtificial Intelligence
Enot: Shaping the Future of Neural Network Compression and Acceleration
Enot develops an AutoML framework for neural network compression and acceleration for edge applications
Read MoreNannyML: Shaping the Future of Model Supervision
NannyML detects silent model failures that happen post-deployment, estimating model performance before historical data is available
Read MoreQdrant: Shaping the Future of Neural Search & Metric Learning
Qdrant: Shaping the Future of Neural Search & Metric Learning Have you ever used Google’s image search? Instead of searching for keywords, you upload an actual image, and the algorithm finds similar images—based on a machine learning algorithm called vector similarity search. It is one example algorithm for neural search: […]
Read More