- Bio
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Caitlin Furby is the dedicated CEO of Grass Ocean Ammolites, a renowned organization passionately committed to paleontology, geology, and the captivating world of Earth's ancient history. Founded by a team of experts and fossil enthusiasts, Grass Ocean Ammolites has emerged as a leading authority in the study, collection, and preservation of prehistoric artifacts, minerals, and geological wonders.
Mission:
Grass Ocean Ammolites is on a mission to unearth, educate, and inspire. Driven by the desire to uncover the secrets of the past, the organization aims to share the wonders of our planet's geological and paleontological heritage with the world. Through their work, they foster a deeper understanding of Earth's history and the incredible creatures that once roamed its surface.Key Activities:
- Fossil and Mineral Exploration:
Engaging in expeditions and exploration efforts globally, Grass Ocean Ammolites discovers and excavates fossils, minerals, and geological specimens. The team meticulously documents and studies each find, contributing to the scientific community's knowledge.
- Collection and Curation: Maintaining an extensive collection of rare fossils, minerals, and geological specimens, serving as invaluable resources for research, education, and exhibition.
- Education and Outreach: Deeply committed to education, Grass Ocean Ammolites conducts workshops, seminars, and educational programs to engage people of all ages in the wonders of paleontology and geology.
- Public Exhibitions: Organizing events that bring the ancient world to life, featuring carefully selected specimens, interactive displays, and engaging narratives.Leadership:
Guided by visionary CEO Caitlin Furby, Grass Ocean Ammolites has made significant contributions to scientific research and education in the field of paleontology. Her passion for paleontology and dedication to preserving Earth's history have been driving forces behind the organization's success.Legacy:
Grass Ocean Ammolites has made an indelible mark on the world of paleontology and geology, built upon scientific rigor, a commitment to education, and profound respect for Earth's ancient wonders. The organization continues to inspire future generations to explore the mysteries of our planet's past.Future Directions:
As Grass Ocean Ammolites moves into the future, the organization remains steadfast in uncovering new discoveries, expanding educational initiatives, and fostering a deeper appreciation for Earth's geological and paleontological heritage. They invite all who share their passion to join them on this exciting adventure through time. - Companies
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Lethbridge, Alberta, Canada
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Recent projects
Tricorder-Like Device Design Project
The main goal for the project is to create three 3D renderings of tricorder-like devices, modernized for contemporary use in the rock, gem, and fossil industry. The prototypes will be designed in three versions: an industrial model, a phone attachment model, and a handheld model. The primary function of these devices will be to analyze and identify the composition of rocks, gems, and fossils, and present the results in a user-friendly manner to democratize access to scientific information.
Detection Techniques Development
In this project, students will collaborate to develop and implement detection techniques for material identification. They will explore various analytical methods such as spectroscopy and X-ray diffraction to analyze and classify different materials, including resin, dyed materials, natural minerals, and rocks. The goal is to lay the foundation for accurate material identification in subsequent phases of the project.
Machine Learning Model Development for Material Identification
In this project, students will collaborate to develop machine learning models capable of accurately identifying different materials, including resin, dyed materials, natural minerals, and rocks. They will explore various machine learning algorithms and techniques to build robust models for material classification, contributing to the development of a reliable material identification system.
Machine Learning Model Development for Material Identification
In this master's level project, students will collaborate to lay the essential groundwork for the development of a tricorder-inspired material identification device. The focus of this phase is to design, train, and evaluate machine learning models that will form the intelligence behind the tricorder. The project comprises key tasks aimed at preparing the necessary data and selecting models for effective material identification.