Company Filing History:
Years Active: 2024-2025
Title: Manuel Weber: Innovator in Change Detection and Carbon Estimation
Introduction
Manuel Weber is a notable inventor based in Santa Fe, NM (US), recognized for his contributions to the fields of machine learning and environmental science. With a total of two patents to his name, he has made significant strides in synthesizing training data for change detection models and carbon estimation.
Latest Patents
One of Manuel Weber's latest patents is titled "Synthesizing training data for training a change detection model." This invention involves receiving a patched image that includes a background image with a patch pasted into it. The process further includes synthesizing a harmonized patched image by utilizing a machine learning model trained on the background image. The output is a synthetic training sample that comprises a reference image, a portion of the harmonized patched image, and a corresponding mask, which is essential for training a change detection model.
Another significant patent is "Carbon estimation - Training an estimation model using soft labels." This innovation begins with receiving an image and generating a continuous target map that includes both hard and soft labels. A model is then trained using this continuous target map, enhancing the accuracy of carbon estimation.
Career Highlights
Throughout his career, Manuel Weber has worked with prominent companies such as EarthDaily Analytics USA, Inc. and Descartes Labs, Inc. His experience in these organizations has allowed him to apply his innovative ideas in practical settings, contributing to advancements in technology and environmental monitoring.
Collaborations
Manuel has collaborated with talented individuals, including Kyle Tyler Story and Jason David Schatz. These partnerships have fostered a creative environment that encourages the development of groundbreaking solutions in their respective fields.
Conclusion
Manuel Weber stands out as an influential inventor whose work in synthesizing training data and carbon estimation has the potential to impact various industries. His innovative patents and collaborative efforts highlight his commitment to advancing technology for a better future.