Adam Scott Frost

Title: Adam Scott Frost: Inventor in Machine Learning and Semantic Segmentation.

Introduction

Adam Scott Frost is an inventor based in San Francisco, California. His work includes a patented approach to training machine-learning models for semantic segmentation of sparse, multidimensional tensors. Frost is associated with Altos Labs, Inc.

Latest Patents

Frost is credited with 1 patent, titled “Semantic Segmentation of Sparse Multi-Dimensional Tensors.” The invention describes training a machine-learning model through iterative extraction of 3D image patches at two different sizes. The model is trained on the larger patches with their associated losses, and then on smaller patches with a separate set of losses.

Career Highlights

The patent highlights Frost’s work on machine learning and the analysis of three-dimensional image data. Its multiscale training technique uses patches of different sizes to support semantic segmentation.

Collaborations

Frost’s listed coworkers include Wilmer Arbelo-Gonzalez and Valentina Pedoia. The patent and company information connect his work with Altos Labs, Inc.

Conclusion

Adam Scott Frost’s patent presents a multiscale approach to training machine-learning models for semantic segmentation, reflecting his contributions to innovation in 3D image analysis.