AI Use Cases in National Aeronautics and Space Administration

Introduction

Artificial Intelligence (AI) is playing a pivotal role in advancing the capabilities of the National Aeronautics and Space Administration (NASA), driving innovation across a wide range of space exploration and research initiatives. From testing complex systems and intelligent robotics to data analysis for planetary science and climate research, AI is helping NASA solve some of the most complex challenges in scientific research and space exploration. The following list explores the diverse AI use cases within NASA, highlighting how AI is pushing the boundaries of what is possible in scientific research and helping to unlock new frontiers in our understanding of the universe.

Use Cases

  • 1. AdaStress

    AdaStress is an innovative project that addresses the challenges of testing complex systems, particularly in scenarios where potential faults are rare but critical to safety. Traditional Monte Carlo sampling methods can be computationally intensive and may require an impractically large number of samples to identify these rare faults. Instead, AdaStress employs reinforcement learning techniques to optimize the sampling process, allowing for more efficient identification of low-likelihood yet high-impact faults. This approach enhances the reliability and safety of complex systems without the prohibitive computational costs.

  • 2. Biological and Physical Sciences (BPS) RNA Sequencing Benchmark Training Dataset

    The Biological and Physical Sciences (BPS) RNA Sequencing Benchmark Training Dataset project involves the collection and analysis of RNA sequencing data from both spaceflown and control mouse liver samples, sourced from NASA GeneLab. To enhance the dataset, generative adversarial networks (GANs) are used to create synthetic data points. The project employs classification methods and hierarchical clustering techniques to identify genes that are predictive of specific biological outcomes, contributing to a better understanding of gene behavior in response to spaceflight conditions.

  • 3. Biological and Physical Sciences Microscopy Benchmark Dataset

    The Biological and Physical Sciences Microscopy Benchmark Dataset project utilizes fluorescence microscopy images sourced from the Biological and Physical Sciences Open Science Data Repositories. This extensive dataset includes 93,488 images of individual nuclei from mouse fibroblast cells that have been irradiated with iron particles or X-rays, with DNA double strand breaks labeled using the 53BP1 fluorescence marker. The images reveal DNA damage as small white foci. This study simulates the effects of space radiation, and the dataset has been prepared for AI applications, allowing researchers to test various AI tools. The dataset is publicly accessible on the Registry of Open Data on AWS, along with in-house developed AI tools for analysis.

  • 4. High-Performance Quantum-Classical Hybrid Deep Generative Modeling Parameterized by Energy-based Models for Flight-Operations Anomaly Detection

    The High-Performance Quantum-Classical Hybrid Deep Generative Modeling project focuses on developing scalable and explainable machine learning techniques for detecting anomalies in flight operations. By integrating classical computing methods, which enhance performance and reduce costs, with quantum computing capabilities that encode quantum correlations, the project aims to improve anomaly detection accuracy. The deep learning model analyzes time series data from 19 flight metrics collected by commercial aircraft flight recorders, predicting operational and safety-related anomalies specifically during take-off and landing phases, thereby enhancing flight safety and operational efficiency.

  • 5. Prediction of Mass Level in Radio Frequency Cryogenics

    The Prediction of Mass Level in Radio Frequency Cryogenics project employs machine learning to predict fluid levels in tanks by analyzing the radio frequency signatures of the fluids. This approach is particularly valuable in microgravity environments, where traditional fluid level detection methods are ineffective due to the lack of defined shapes for the fluids. By leveraging radio frequency data, the model provides accurate predictions of fluid levels, which is crucial for various space applications and experiments.

  • 6. Pre-trained microscopy image neural network Encoders

    The Pre-trained Microscopy Image Neural Network Encoders project involves training convolutional neural network (CNN) encoders on over 100,000 microscopy images of various materials. These encoders, when applied to downstream microscopy tasks through transfer learning, demonstrate superior performance compared to traditional ImageNet encoders. The pre-trained MicroNet encoders have been effectively utilized for tasks such as semantic segmentation, instance segmentation, and regression. Ongoing efforts aim to extend their application to generative tasks and 3D texture synthesis. This technology has been instrumental in quantifying the microstructure of materials, including SLS core stage welds and Ni-based superalloys, facilitating a deeper understanding of the relationship between material processing, microstructure, and properties. By automating the analysis of microstructure from microscopy images, this approach significantly accelerates the design and development of new materials.

  • 7. Inverse Design of Materials

    The Inverse Design of Materials project aims to revolutionize the process of discovering new materials, which traditionally involves lengthy timelines of ten to twenty years for development and testing. This initiative focuses on enabling rapid discovery, optimization, qualification, and deployment of materials tailored for specific applications. By training supervised machine learning models to understand the relationship between material processing and performance, the project employs Bayesian optimization to identify the most effective experimental approaches. This methodology significantly reduces the time and cost associated with traditional experimental designs. Currently, the project is being applied to improve the quality of SLS core stage welds and will also support the development of better insulating materials for electrified aircraft through a fully autonomous robotic lab. The outputs include optimized recipes and methodologies for new materials, achieving a fourfold acceleration in the materials discovery lifecycle and potentially increasing throughput by ten times through parallel experimentation.

  • 8. Titan Methane Cloud Detection (GSFC Planetary Sciences Lab)

    The Titan Methane Cloud Detection project utilizes machine learning techniques to analyze imagery captured by the Cassini space probe, focusing on detecting and characterizing methane clouds on Saturn’s moon Titan. This research is crucial for understanding Titan’s atmospheric composition and potential for supporting life, as methane clouds can indicate geological and chemical processes occurring on the moon

  • 9. ASPEN Mission Planner

    The ASPEN Mission Planner is an advanced, AI-driven application framework designed to support a diverse range of planning and scheduling applications in space missions. Its modular and reconfigurable architecture includes reusable software components such as a modeling language, resource management system, temporal reasoning capabilities, and a user-friendly graphical interface. ASPEN has been successfully utilized in various missions, including the Modified Antarctic Mapping Mission, Orbital Express, Earth Observing One, and ESA’s Rosetta Orbiter, demonstrating its versatility and effectiveness in complex mission planning.

  • 10. Autonomous Marine Vehicles (Single, Multiple)

    The Autonomous Marine Vehicles project focuses on developing underwater submersibles capable of operating autonomously in ocean environments to achieve scientific objectives, particularly the study of hydrothermal venting. Hydrothermal vents, which have been identified on Enceladus, are believed to harbor unique ecosystems and may be critical to understanding the origins of life. The project emphasizes autonomous science, enabling the vehicles to localize features of interest with minimal human intervention. A field program at Karasik Seamount in the Arctic Ocean was conducted to explore human-in-the-loop approaches, and subsequent developments included an autonomous nested search method for hydrothermal venting, tested through simulations. The vehicles have been deployed in various locations, including Monterey Bar and Chesapeake Bay, to gather valuable scientific data.

  • 11. CLASP Coverage Planning & Scheduling

    The CLASP (Compressed Large-scale Activity Scheduling and Planning) project serves as a long-range scheduling tool for space-based and aerial instruments modeled as pushbroom sensors. It addresses the challenge of optimizing the orientation and operational timings of these instruments to maximize coverage of target points while managing memory and energy constraints. CLASP utilizes geometric computations through the SPICE ephemeris toolkit to determine observation parameters. This tool enables mission planning teams to simulate the scientific return of a mission based on various operational models, including spacecraft trajectory and downlink strategies. The insights gained from these simulations can inform multiple aspects of mission design, including trajectory planning and spacecraft operations. CLASP is currently employed in several missions, including NISAR, ECOSTRESS, EMIT, and OCO-3, and has been utilized in over 100 mission analyses and studies.

  • 12. Onboard Planner for Mars2020 Rover (Perseverance)

    The Onboard Planner for the Mars 2020 Rover (Perseverance) is designed to incrementally create a feasible schedule for rover activities based on priority. The scheduler calculates valid time intervals for each activity, considering necessary preheating, maintenance, and the rover’s wake/sleep cycles. Once an activity is scheduled, it is not reconsidered for deletion or rescheduling, making the system non-backtracking. To address potential brittleness in this approach, the Copilot systems conduct Monte Carlo-based stochastic analyses to adjust scheduling parameters, including activity priorities and temporal constraints. This project encompasses a broad range of research and engineering efforts aimed at enhancing the autonomy of future rovers, including planning, scheduling, path planning, onboard science operations, image processing, terrain classification, fault diagnosis, and location estimation. The initiative includes hands-on experimentation and demonstrations at JPL’s simulated Mars navigation yard.

  • 13. SensorWeb: Volcano, Flood, Wildfire, and Others

    The SensorWeb project is an innovative initiative that integrates a network of sensors with software and internet connectivity to create an autonomous satellite observation response system. This flexible and modular architecture allows for the expansion of sensor capabilities, customization of trigger conditions, and tailored responses to various environmental phenomena. The system has been successfully implemented for global surveillance of volcanoes and has been tested for monitoring flooding, cryospheric events, and atmospheric conditions. By utilizing low-resolution, high-coverage sensors to trigger observations from high-resolution instruments, the SensorWeb enhances the ability to monitor critical events. This project is currently focused on observing the Earth’s 50 most active volcanoes, as well as conducting experiments related to flooding, wildfires, and cryospheric changes, such as snow and ice dynamics.

  • 14. TRN (Terrain Relative Navigation)

    Terrain Relative Navigation (TRN) is a critical technology used during Mars landings to enhance the safety and accuracy of landing site selection. By automatically matching landmarks identified in descent images to a pre-generated map from orbital imagery, TRN estimates the spacecraft’s position in real-time. This position estimate is essential for selecting a safe and accessible landing site, particularly in regions with significant hazards. TRN was successfully implemented during the Mars 2020 mission landing on February 18, 2021, and it is also planned for use in the upcoming Mars Sample Return Lander mission, further demonstrating its importance in planetary exploration.

  • 15. Autonomous WAiting Room Evaluation (AWARE)

    The Autonomous WAiting Room Evaluation (AWARE) project employs a security camera and the YOLO machine learning model to monitor and count the number of individuals waiting for service at Langley’s Badge & Pass Office. When the number of people waiting exceeds a predefined threshold, the system automatically sends texts and emails to request additional assistance at the service counters. This initiative enhances operational efficiency by ensuring that service areas are adequately staffed during peak times, improving the overall experience for visitors and staff alike.

  • 16. Geophysical Observations Toolkit for Evaluating Coral Health (GOTECH)

    The Geophysical Observations Toolkit for Evaluating Coral Health (GOTECH) project involved three capstone initiatives conducted between 2021 and 2022 in collaboration with Georgia Tech and the University of Rochester. The goal was to develop machine learning models capable of analyzing satellite LIDAR imagery to detect coral reefs and assess their health. Supported by Coral Vita, a non-governmental organization, and the National Institute of Aerospace, the findings from this project were presented at the United Nations COP27, highlighting the importance of technology in coral conservation efforts.

  • 17. Lessons Learned Bot (LLB)

    The Lessons Learned Bot (LLB) is an innovative tool designed to enhance the accessibility of lessons learned documents for NASA users. This near real-time application integrates with Microsoft Excel, allowing users to search for relevant lessons learned content based on the text in selected cells. The LLB utilizes a trained machine learning model and natural language processing (NLP) algorithms to identify and rank relevant records, making it easier for users to find applicable lessons. The installation package includes a pre-trained dataset of NASA’s lessons learned and tools for users to train the model on their own datasets. An API version of the software is also available for integration with other applications within the agency, further facilitating knowledge sharing and learning from past experiences.

  • 18. Pedestrian Safety Corridors for Drone Test Range

    The Pedestrian Safety Corridors for Drone Test Range project at NASA Langley Research Center (LaRC) focuses on enhancing the safety of Unmanned Aerial Systems (UAS) operations in areas where human activity occurs, such as walking and driving zones. By expanding the on-site UAS test range, the project utilizes image recognition technology from a parking advisor system to detect pedestrian traffic. This system provides near-real-time detection of human presence, allowing for a statistical assessment of areas with varying pedestrian density. The inputs for this project include camera signals and hand-labeled training data, while the outputs consist of maps that indicate pedestrian traffic density. The findings from this project have been integrated into the GRASP flight risk simulation tool, improving safety protocols for UAS operations.

  • 19. Airplane detection

    The Airplane Detection project employs deep learning techniques to identify and detect airplanes using high-resolution satellite imagery. This initiative enhances the ability to monitor aircraft activity and movements from space, providing valuable data for various applications, including air traffic management, environmental monitoring, and security assessments.

  • 20. Automatic Detection of Impervious Surfaces from Remotely Sensed Data Using Deep Learning

    The Automatic Detection of Impervious Surfaces project utilizes a deep learning approach based on a U-Net architecture, incorporating VGG-19 as the encoder block along with a custom decoder block. This model is designed to accurately map impervious surfaces using data from Landsat and OpenStreetMap (OSM) patches. The project aims to improve land cover classification and urban planning efforts by providing precise information on impervious surfaces, which are critical for understanding urbanization and its environmental impacts.

  • 21. Deep Learning Approaches for Mapping Surface Water Using Sentinel-1

    The Deep Learning Approaches for Mapping Surface Water project employs a U-Net based architecture to analyze and map surface water using Synthetic Aperture Radar (SAR) images from the Sentinel-1 satellite. This project aims to enhance the accuracy of surface water detection and monitoring, providing essential data for water resource management, flood monitoring, and environmental studies.

  • 22. Deep Learning-based Hurricane Intensity Estimator

    The Deep Learning-based Hurricane Intensity Estimator is a web-based tool designed to provide situational awareness during hurricane events. By utilizing deep learning algorithms to analyze satellite images, the tool objectively estimates hurricane wind speeds, offering critical information for emergency response and disaster management efforts. This technology enhances the ability to monitor and assess hurricane intensity in real-time, improving preparedness and response strategies.

  • 23. Forecasting Algal Blooms With AI in Lake Atitlán

    The Forecasting Algal Blooms With AI in Lake Atitlán project focuses on analyzing satellite image datasets to identify variables that may predict future algal blooms. By applying machine learning techniques, the project aims to uncover the triggers of algal blooms, enabling precise preventative actions not only in Lake Atitlán but also in other freshwater bodies across Central and South America. This research is vital for protecting water quality and aquatic ecosystems from the harmful effects of algal blooms.

  • 24. GCMD Keyword Recommender (GKR)

    The GCMD Keyword Recommender (GKR) is a tool that utilizes natural language processing (NLP) techniques to suggest relevant science keywords for research and data discovery. This tool enhances the ability of researchers and scientists to find and categorize scientific data effectively, improving the accessibility and usability of scientific information across various disciplines.

  • 25. ImageLabeler

    The ImageLabeler is a web-based collaborative tool designed for generating training data for machine learning applications. This platform allows users to collaboratively label images, facilitating the creation of high-quality training datasets for various machine learning models. By streamlining the data labeling process, ImageLabeler enhances the efficiency of developing and training machine learning algorithms, supporting a wide range of applications in image recognition and analysis.

  • 26. Mapping sugarcane in Thailand using transfer learning, a lightweight convolutional neural network, NICFI high resolution satellite imagery and Google Earth Engine

    The project on mapping sugarcane in Thailand employs a U-Net based architecture integrated with a MobileNetV2 encoder, utilizing transfer learning from a global model. This approach leverages high-resolution satellite imagery from the NICFI (Norwegian International Climate and Forest Initiative) mosaic for training purposes. The goal is to accurately identify and map sugarcane pixels, contributing to agricultural monitoring and management efforts in the region.

  • 27. Predicting streamflow with deep learning

    The Predicting Streamflow project utilizes a long short-term memory (LSTM) model to forecast streamflow at United States Geological Survey (USGS) gauge sites. The model incorporates data from the NASA Land Information System along with precipitation forecasts to enhance the accuracy of streamflow predictions. This initiative aims to improve water resource management and flood forecasting capabilities.

  • 28. Ship detection

    The Ship Detection project employs deep learning techniques to identify and detect ships using high-resolution satellite imagery. This capability is essential for maritime monitoring, security, and environmental assessments, providing valuable data for various applications, including shipping traffic analysis and illegal fishing detection.

  • 29. Similarity Search for Earth Science Image Archive

    The Similarity Search for Earth Science Image Archive project utilizes a self-supervised learning approach to enable efficient searching of image archives based on a query image. This method enhances the ability to retrieve relevant images from vast datasets, facilitating research and analysis in Earth sciences by improving access to pertinent visual data.

Conclusion

The diverse AI use cases within NASA showcase the transformative impact of advanced technologies on space exploration, scientific research, and operational efficiency. From enhancing safety and reliability through projects like AdaStress and Terrain Relative Navigation to accelerating material discovery with Inverse Design of Materials, AI is at the forefront of innovation in the aerospace sector. These initiatives not only improve mission outcomes but also open new frontiers in our understanding of the universe and our planet. As NASA continues to harness the power of AI, we can expect even greater advancements in space exploration and the development of cutting-edge technologies that benefit both space missions and life on Earth.

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    Our aim is to keep this Agreement as readable as possible, but in some cases for legal reasons, some of the language is required "legalese".

    Your Acceptance of This Agreement

    These terms of service are entered into by and between You and Scry Analytics, Inc., ("Company," "we," "our," or "us"). The following terms and conditions, together with any documents they expressly incorporate by reference (collectively "Terms of Service"), govern your access to and use of www.scryai.com, including any content, functionality, and services offered on or through www.scryai.com (the "Website").

    Please read the Terms of Service carefully before you start to use the Website.

    By using the Website [or by clicking to accept or agree to the Terms of Service when this option is made available to you], you accept and agree to be bound and abide by these Terms of Service and our Privacy Policy, found at Privacy Policy, incorporated herein by reference. If you do not want to agree to these Terms of Service, you must not access or use the Website.

    By accessing and using this website, You accept and:

    Accept and agree to be bound and comply with these terms of service. You represent and warrant that you are the legal age of majority under applicable law to form a binding contract with us and, you agree if you access the website from a jurisdiction where it is not permitted, you do so at your own risk.

    Updates to Terms of Service

    We may revise and update these Terms of Service from time to time in our sole discretion. All changes are effective immediately when we post them and apply to all access to and use of the Website thereafter.

    Continuing to use the Website following the posting of revised Terms of Service means that you accept and agree to the changes. You are expected to check this page each time you access this Website so you are aware of any changes, as they are binding on you.

    Your Responsibilities

    You are required to ensure that all persons who access the Website are aware of this Agreement and comply with it. It is a condition of your use of the Website that all the information you provide on the Website is correct, current, and complete.

    You are solely and entirely responsible for your use of the website and your computer, internet and data security.

    Prohibited Activities

    You may use the Website only for lawful purposes and in accordance with these Terms of Service. You agree not to use the Website:

    • In any way that violates any applicable federal, state, local or international law or regulation (including, without limitation, any laws regarding the exports of data software to and from the U.S. or other countries).
    • For the purpose of exploiting, harming, or attempting to exploit or harm minors in any way by exposing them to inappropriate content, asking for personally identifiable information or otherwise.
    • To send, knowingly receive, upload, download, use, or re-use any material that does not comply with the Submission Standards set out in these Terms of Service.
    • To transmit, or procure the sending of, any advertising or promotional material, including any "junk mail," "chain letter," "spam," or any other similar solicitation.
    • To impersonate or attempt to impersonate the Company, a Company employee, another user, or any other persona or entity (including, without limitation, by using email addresses associated with any of the foregoing).
    • To engage in any other conduct that restricts or inhibits anyone's use or enjoyment of the website, or which as determined by us, may harm the Company or users of the website, or expose them to liability.

    Additionally, you agree not to:

    • Use the Website in any manner that could disable, overburden, damage, or impair the site or interfere with any other party's use of the Website, including their ability to engage in real-time activities through the Website.
    • Use any robot, spider, or other automatic device, process, or means to access the Website for any purpose, including monitoring or copying any of the material on the Website.
    • Use any manual process to monitor or copy any of the material on the Website, or for any other purpose not expressly authorized in these Terms of Service, without our prior written consent.
    • Use any device, software, or routine that interferes with the proper working of the Website.
    • Introduce any viruses, Trojan horses, worms, logic bombs, or other material that is malicious or technologically harmful.
    • Attempt to gain unauthorized access to, interfere with, damage, or disrupt any parts of the Website, the server on which the Website is stored, or any server, computer, or database connected to the Website.
    • Attack the Website via a denial-of-service attack or a distributed denial-of-service attack.
    • Otherwise attempting to interfere with the proper working of the Website.

    Intellectual Property Rights

    The Website and its entire contents, features, and functionality (including but not limited to all information, software, text, displays, images, video, and audio, and the design, selection, and arrangement thereof) are owned by the Company, its licensors, or other providers of such material and are protected by United States and international copyright, trademark, patent, trade secret, and other intellectual property or proprietary rights laws.

    These Terms of Service permit you to use the Website for your personal, non-commercial use only. You must not reproduce, distribute, modify, create derivative works of, publicly display, publicly perform, republish, download, store, or transmit any of the material on our Website, except as follows:

    • Your computer may temporarily store copies of such material in RAM incidental to your accessing and viewing those materials.
    • You may store files that are automatically cached by your Web browser for display enhancement purposes.
    • You may print or download one copy of a reasonable number of pages of the Website for your own personal, non-commercial use and not for further reproduction, publication or distribution.
    • If we provide social media features with certain content, you may take such actions as are enabled by such features.

    You must not:

    • Modify copies of any materials from this site.
    • Delete or alter any of the copyright, trademark, or other proprietary rights notices from copies of materials from this site.

    You must not access or use for any commercial purposes any part of the website or any services or materials available through the Website.

    If you print, copy, modify, download, or otherwise use or provide any other person with access to any part of the Website in breach of the Terms of Service, your right to use the Website will stop immediately and you must, at our option, return or destroy any copies of the materials you have made. No right, title, or interest in or to the Website or any content on the Website is transferred to you, and all rights not expressly granted are reserved by the Company. Any use of the Website not expressly permitted by these Terms of Service is a breach of these Terms of Service and may violate copyright, trademark, and other laws.

    User Submissions and Submission Standards

    The Website may provide you with the opportunity to create, submit, post, display, transmit, public, distribute, or broadcast content and materials to us or in the Website, including but not limited to text, writings, video, audio, photographs, graphics, comments, ratings, reviews, feedback, or personal information or other material (collectively, "Content"). You are responsible for your use of the Website and for any content you provide, including compliance with applicable laws, rules, and regulations.

    All User Submissions must comply with the Submission Standards and Prohibited Activities set out in these Terms of Service.

    Any User Submissions you post to the Website will be considered non-confidential and non-proprietary. By submitting, posting, or displaying content on or through the Website, you grant us a worldwide, non-exclusive, royalty-free license to use, copy, reproduce, process, disclose, adapt, modify, publish, transmit, display and distribute such Content for any purpose, commercial advertising, or otherwise, and to prepare derivative works of, or incorporate in other works, such as Content, and grant and authorize sublicenses of the foregoing. The use and distribution may occur in any media format and through any media channels.

    You represent and warrant that:

    • You own or control all rights in and to the User Submissions and have the right to grant the license granted above to us and our affiliates and service providers, and each of their and our respective licensees, successors, and assigns.
    • All of your User Submissions comply with these Terms of Service.

    We do not assert any ownership over your Content. You retain full ownership of all of your Content and any intellectual property rights or other proprietary rights associated with your Content. We are not liable for any statement or representations in your Content provided by you in any area in the Website. You are solely responsible for your Content related to the Website and you expressly agree to exonerate us from any and all responsibility and to refrain from any legal action against us regarding your Content. We are not responsible or liable to any third party for the content or accuracy of any User Submissions posted by you or any other user of the Website. User Submissions are not endorsed by us and do not necessarily represent our opinions or the view of any of our affiliates or partners. We do not assume liability for any User Submission or for any claims, liabilities, or losses resulting from any review.

    We have the right, in our sole and absolute discretion, (1) to edit, redact, or otherwise change any Content; (2) to recategorize any Content to place them in more appropriate locations in the Website; and (3) to prescreen or delete any Content at any time and for any reason, without notice. We have no obligation to monitor your Content. Any use of the Website in violation of these Terms of Service may result in, among other things, termination or suspension of your right to use the Website.

    These Submission Standards apply to any and all User Submissions. User Submissions must in their entirety comply with all the applicable federal, state, local, and international laws and regulations. Without limiting the foregoing, User Submissions must not:

    • Contain any material that is defamatory, obscene, indecent, abusive, offensive, misleading, harassing, violent, hateful, inflammatory, or otherwise objectionable.
    • Promote sexually explicit or pornographic material, violence, or discrimination based on race, sex, religion, nationality, disability, sexual orientation, or age.
    • Infringe any patent, trademark, trade secret, copyright, or other intellectual property or other rights of any other person.
    • Violate the legal rights of others or contain any material that could give rise to any civil or criminal liability under applicable laws or regulations or that otherwise may be in conflict with these terms of service and our Privacy Policy.
    • Be likely to deceive any person.
    • Promote any illegal activity, or advocate, promote, or assist in any unlawful act.
    • Cause annoyance, inconvenience, or needless anxiety or be likely to upset, embarrass, alarm, or annoy any other person.
    • Impersonate any person, or misrepresent your identity or affiliation with any person or organization.
    • Involve commercial activities or sales, such as contests, sweepstakes, and other sales promotions, barter, or advertising.
    • Give the impression that they emanate from or are endorsed by us or any other person or entity, if this is not the case.

    Our Rights

    We have the right, without provision of notice to:

    • Remove or refuse to post any User Submission for any or no reason in our sole discretion;
    • Take any action with respect to any User Submission that we deem necessary or appropriate in our sole discretion, including if we believe that such User Submission violates the Terms of Service, including the Submission Standards, infringes any intellectual property right or other right of any person or entity, threatens the personal safety of users of the Website or the public, or could create liability for the Company;
    • Take appropriate legal action, including, without limitation, referral to or cooperation with law enforcement or regulatory authorities, or notifying the harmed party of any illegal or unauthorized use of the Website; and
    • Terminate or suspend your access to all or part of the Website for any or no reason, including, without limitation, any violation of these Terms of Service.

    You waive and hold harmless company and its parent, subsidiaries, affiliates, and their respective directors, officers, employees, agents, service providers, contractors, licensors, licensees, suppliers, and successors from any and all claims resulting from any action taken by the company and any of the foregoing parties relating to any, investigations by either the company or by law enforcement authorities.

    Third Party Links and Sites

    For your convenience, this Website may provide links or pointers to third-party sites or third-party content. We make no representations about any other websites or third-party content that may be accessed from this Website. If you choose to access any such sites, you do so at your own risk. We have no control over the third-party content or any such third-party sites and accept no responsibility for such sites or for any loss or damage that may arise from your use of them. You are subject to any terms and conditions of such third-party sites.

    Social Media Features

    This Website may provide certain social media features that enable you to:

    • Link from your own or certain third-party websites to certain content on this Website.
    • Send emails or other communications with certain content, or links to certain content, on this Website.
    • Cause limited portions of content on this Website to be displayed or appear to be displayed on your own or certain third-party websites.

    You may use these features solely as they are provided by us and solely with respect to the content they are displayed with. Subject to the foregoing, you must not:

    • Establish a link from any website that is not owned by you.
    • Cause the Website or portions of it to be displayed on, or appear to be displayed by, any other site, for example, framing, deep linking, or in-line linking.
    • Link to any part of the Website other than the homepage.
    • Otherwise take any action with respect to the materials on this Website that is inconsistent with any other provision of these Terms of Use.

    The Website from which you are linking, or on which you make certain content accessible, must comply in all respects with the Submission Standards set out in these Terms of Service.

    You agree to cooperate with us in causing any unauthorized framing or linking immediately to stop.
    We reserve the right to withdraw linking permission without notice.
    We may disable all or any social media features and any links at any time without notice in our discretion.

    Disclaimers, Liability and Indemnification

    You understand and agree that your use of the website, its content, and any goods, digital products, services, information or items found or attained through the website is at your own risk. The website, its content, and any goods, services, digital products, information or items found or attained through the website are provided on an "as is" and "as available" basis, without any warranties or conditions of any kind, either express or implied including, but not limited to, the implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The foregoing does not affect any warranties that cannot be excluded or limited under applicable law.

    You acknowledge and agree that company or its respective directors, officers, employees, agents, service providers, contractors, licensors, licensees, suppliers, or successors make no warranty, representation, or endorsement with respect to the completeness, security, reliability, suitability, accuracy, currency, or availability of the website or its contents or that any goods, services, digital products, information or items found or attained through the website will be accurate, reliable, error-free, or uninterrupted, that defects will be corrected, that our website or the server that makes it available or content are free of viruses or other harmful components or destructive code.

    How We Limit Our Liability to You

    Except where such exclusions are prohibited by law, in no event shall the company nor its respective directors, officers, employees, agents, service providers, contractors, licensors, licensees, suppliers, or successors be liable under these terms of service to you or any third-party for any consequential, indirect, incidental, exemplary, special, or punitive damages whatsoever, including any damages for business interruption, loss of use, data, revenue or profit, cost of capital, loss of business opportunity, loss of goodwill, whether arising out of breach of contract, tort (including negligence), any other theory of liability, or otherwise, regardless of whether such damages were foreseeable and whether or not the company was advised of the possibility of such damages.

    Indemnification

    To the maximum extent permitted by applicable law, you agree to defend, indemnify, and hold harmless Company, its parent, subsidiaries, affiliates, and their respective directors, officers, employees, agents, service providers, contractors, licensors, suppliers, successors, and assigns from and against any claims, liabilities, damages, judgments, awards, losses, costs, expenses, or fees (including reasonable attorneys' fees) arising out of or relating to your breach of these Terms of Service or your use of the Website including, but not limited to, third-party sites and content, any use of the Website's content and services other than as expressly authorized in these Terms of Service or any use of any goods, digital products and information purchased from this Website.

    Dispute Resolution

    At Company’s sole discretion, it may require you to submit any disputes arising from these Terms of Service or use of the Website, including disputes arising from or concerning their interpretation, violation, invalidity, non-performance, or termination, to final and binding arbitration under the Rules of Arbitration of the American Arbitration Association applying Ontario law. (If multiple jurisdictions, under applicable laws).

    Any cause of action or claim you may have arising out of or relating to these terms of use or the website must be commenced within 1 year(s) after the cause of action accrues; otherwise, such cause of action or claim is permanently barred.

    Privacy Policy

    Your provision of personal information through the Website is governed by our privacy policy located at the "Privacy Policy".

    Governing Law

    The Website and these Terms of Service will be governed by and construed in accordance with the laws of the Province of Ontario and any applicable federal laws applicable therein, without giving effect to any choice or conflict of law provision, principle, or rule and notwithstanding your domicile, residence, or physical location. Any action or proceeding arising out of or relating to this Website and/or under these Terms of Service will be instituted in the courts of the Province of Ontario, and each party irrevocably submits to the exclusive jurisdiction of such courts in any such action or proceeding. You waive any and all objections to the exercise of jurisdiction over you by such courts and to the venue of such courts.

    If you are a citizen of any European Union country or Switzerland, Norway or Iceland, the governing law and forum shall be the laws and courts of your usual place of residence.

    The parties agree that the United Nations Convention on Contracts for the International Sale of Goods will not govern these Terms of Service or the rights and obligations of the parties under these Terms of Service.

    Severability

    If any provision of these Terms of Service is illegal or unenforceable under applicable law, the remainder of the provision will be amended to achieve as closely as possible the effect of the original term and all other provisions of these Terms of Service will continue in full force and effect.

    Entire Terms of Service

    These Terms of Service constitute the entire and only Terms of Service between the parties in relation to its subject matter and replaces and extinguishes all prior or simultaneous Terms of Services, undertakings, arrangements, understandings or statements of any nature made by the parties or any of them whether oral or written (and, if written, whether or not in draft form) with respect to such subject matter. Each of the parties acknowledges that they are not relying on any statements, warranties or representations given or made by any of them in relation to the subject matter of these Terms of Service, save those expressly set out in these Terms of Service, and that they shall have no rights or remedies with respect to such subject matter otherwise than under these Terms of Service save to the extent that they arise out of the fraud or fraudulent misrepresentation of another party. No variation of these Terms of Service shall be effective unless it is in writing and signed by or on behalf of Company.

    Waiver

    No failure to exercise, and no delay in exercising, on the part of either party, any right or any power hereunder shall operate as a waiver thereof, nor shall any single or partial exercise of any right or power hereunder preclude further exercise of that or any other right hereunder.

    Notice

    We may provide any notice to you under these Terms of Service by: (i) sending a message to the email address you provide to us and consent to us using; or (ii) by posting to the Website. Notices sent by email will be effective when we send the email and notices we provide by posting will be effective upon posting. It is your responsibility to keep your email address current.

    To give us notice under these Terms of Service, you must contact us as follows: (i) by personal delivery, overnight courier or registered or certified mail to Scry Analytics Inc. 2635 North 1st Street, Suite 200 San Jose, CA 95134, USA. We may update the address for notices to us by posting a notice on this Website. Notices provided by personal delivery will be effective immediately once personally received by an authorized representative of Company. Notices provided by overnight courier or registered or certified mail will be effective once received and where confirmation has been provided to evidence the receipt of the notice.

    Contact Us

    To request a copy for your information, unsubscribe from our email list, request for your data to be deleted, or ask a question about your data privacy, we've made the process simple:

    Email us