Accelerated testing with POLY-GANs for polyolefin aging visualization
POLY-GANs leverage generative artificial networks to predict long-term outcomes of polyolefins, visualizing synthetic aging and degradation. This technology offers accelerated testing with high accuracy, enabling faster decision-making in material evaluation.
Overview
Accelerated Testing using POLY-GANs represents a significant advancement in the evaluation of polyolefin materials. By utilizing Polyolefin Generative Artificial Networks, this technology enables the prediction and visualization of synthetic aging before traditional testing begins. This approach allows for faster, more reliable assessments of material longevity and degradation risk, ensuring improved decision-making and efficiency in material evaluation processes.
Technical specifications
- Generative Artificial Networks (GANs): Trained on polyolefin images to predict long-term outcomes with high spatial resolution and distribution similarity, achieving image correlations greater than 0.9 and Bhattacharyya distances less than 0.15.
- Machine Learning Models: Analyze tabular attributes to identify key features in crack initiation and degradation, delivering predictions with over 85% accuracy within a 5-minute timeframe.
- Infrastructure: Deployed on Amazon Web Services (AWS) with the capability to process results in under 100 milliseconds using AWS G6.XL instances.
- Custom Web Application: Offers a tailor-made user interface for visualizing accelerated aging, customizable to specific client needs.
Technology readiness level
Currently at Technology Readiness Level 3, this solution has undergone initial proof of concept and is in the process of being tailored and validated for real-world applications. A 6-12 month PoC is planned, focusing on data collection, GUI customization, and model fine-tuning to improve accuracy and performance in client-specific environments.
About Vitality Robotics Inc
Vitality Robotics Inc. designs and manufactures AI-powered hardware and software solutions tailored for biomedical research, veterinary medicine, and laboratory environments. The company develops custom benchtop surgical systems, pick-and-place robotics, and conveyor systems that incorporate computer vision, reinforcement learning, and advanced robotic precision. By partnering with industry leaders such as NVIDIA, AWS, and Mecademic, they provide end-to-end integration of hardware with custom machine learning models that run on edge devices, enabling the automation of precise tasks such as tissue collection, necropsies, and scientific imaging analysis.
These technologies help scientific teams and laboratory operators reduce operational costs, increase efficiency, and standardize complex procedures. Beyond specialized hardware, the company offers a SaaS platform, Labtools.AI, which integrates with electronic lab notebooks (ELNs) and laboratory information management systems (LIMS) to provide no-code, user-friendly data management and analytics. By delivering custom AI strategy consulting and scalable automation tools, Vitality Robotics aims to accelerate biomedical discovery and bridge the gap between laboratory workflows and advanced robotic precision.
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