A New ERA in Machine Learning
Probabilistic Intelligience
PI Probaligence gmbh
The different approach to Machine Learning
Probabilistic Intelligience -
Deep Infinite Mixture of Gaussian Processes
Navigating the landscape of machine learning algorithms is a challenging task. The difficulty arises not only in selecting the appropriate algorithm but also in understanding the varied nature of the underlying data—ranging from numerical values and acoustic signals to more complex forms such as transient FEM simulations or 3D material properties.
As the number of available algorithms continues to expand, so does the need for specialized expertise. DIM-GP addresses this challenge by providing a tool that allows users, even those with limited experience, to effectively tackle a broad range of problems in advanced technology
fields.
DIM-GP is designed to handle large datasets efficiently on modest hardware, while its key strength lies in building accurate models from relatively small datasets. This is particularly valuable given the high cost and limited availability of real-world experiments and simulations.
To enhance DIM-GP’s capabilities, a set of algorithms for optimized experimentation, efficient optimization, and sensitivity analysis has been integrated into the Stochos software package. This integration facilitates the smooth interaction of various tools, broadening the scope of possible applications
Fully automatic generation of probabilistic, non-stationary models without hyperparameter tuning
Probabilistic innovation in machine learning
STOCHOS©
In the realm of advancing machine learning, STOCHOS© stands out as an exceptional machine learning approach that not only pushes the boundaries of technology but also pioneers groundbreaking solutions for companies across all industries. Focusing on internally developed probabilistic machine learning methods, Bayesian optimization, sensitivity analyses, and experimental design, we at PI Probaligence have earned a reputation as a trailblazer in efficiency and applicability.
The strength of STOCHOS© lies in the remarkable sample efficiency of its solutions. By delivering accurate and reliable results even with limited datasets, it optimizes resource utilization and accelerates innovation cycles for companies. This approach empowers companies to make data-driven decisions without heavy reliance on extensive expert knowledge.
PI Probaligence envisions a future where companies can reap the benefits of machine learning effortlessly. By developing solutions that are not only powerful but also user-friendly, PI Probaligence provides a platform for data-driven innovation, leading the way for companies to embrace an era of data-driven excellence.
What is your company’s primary focus? At our core, we bring a track record of proven success across diverse industries, harnessing the power of our unique machine learning technology. This enables us to not only address but excel in multiple applications within the following listed industries, providing tailored solutions that drive tangible value and propel businesses toward unprecedented growth and innovation.
Bayesian Optimization
Optimizer PI-BO
Our proprietary Bayesian optimizer PI-BO is a probabilistic model-based optimization technique used to optimize complex, expensive, and noisy objective functions. It’s particularly useful when the evaluation of the objective function is time-consuming or resource-intensive.
Bayesian optimization is particularly effective in scenarios where the objective function is expensive to evaluate, and the goal is to minimize the number of evaluations needed to find the optimum. And furthermore it can also be utilized to generate a digital twin in the most efficient way.
Precise real data models
with maximum Speed
Multi Fidelity
Multi-fidelity is the utilization of models with varying levels of accuracy and computational expense. STOCHOS© only deploys high-fidelity features, that is more accurate, and computationally expensive modelling in those areas where the model uncertainty is high. By then automatically combining the information from areas with different fidelity levels into a single model, we can achieve the same accuracy as in a fully high fidelity model in only a fraction of time. In combination with our integrated noise detection this allows real data modelling of highly complex problems even on GPU or CPU with astonishing accuracy.
Use the latest state-of-the-art development in the field of AI for your industry
What is your company’s primary focus? At our core, we bring a track record of proven success across diverse industries, harnessing the power of our unique machine learning technology. This enables us to not only address but excel in multiple applications within the following listed industries, providing tailored solutions that drive tangible value and propel businesses toward unprecedented growth and innovation.
User-friendly Interface
WebApp STOCHOS
The WebApp for Stochos offers a variety of powerful tools, covering tasks like improving performance, analyzing what matters, and ensuring reliability. These tools are carefully designed to seamlessly integrate with DIM-GP for top-notch results.
Our aim is to make these advanced tools user-friendly, so you can benefit from them without needing expert knowledge. Plus, everything is built in Python, making it easy to integrate into your existing software and workflows
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