Expertise working with industry

-        Zero Defects through Artificial Intelligence: We are harnessing the power of Artificial Intelligence (AI) to implement 'Zero Defect Manufacturing' strategies. By leveraging machine learning algorithms and predictive analytics, we can proactively identify potential defects and flaws in the manufacturing process. This technology not only reduces waste but also enhances product quality and reliability.

 -        Machine Learning for Failure Detection and Anomaly Detection: We apply Machine Learning (ML) technologies to automate the identification of system failures and anomalies, such as those discussed in a case study with LNG compressors. These advanced models are trained to detect deviations in normal operations, allowing for rapid intervention and minimization of downtime.

-        Interpretability of Machine Learning Models: Alongside creating accurate models, we also emphasize their interpretability. By using methods like SHAP (SHapley Additive exPlanations), LIME (Local Interpretable Model-agnostic Explanations), or feature importance, we ensure that the decisions made by our models are transparent, and thus, foster trust in AI technology. Focusing in humans for the point of view of interpretability.

-        Advanced Forecasting Models: We develop state-of-the-art forecasting models using techniques like ARIMA, exponential smoothing, or more modern methods like Facebook's Prophet, Recurrent Neural Networks (RNN) or newest one like transformers. These models help in predicting trends and patterns, allowing for more effective planning and decision-making.

-        Industrial Data Spaces: We create 'Data Spaces'—secure and standardized environments for companies to share and trade data while maintaining control over their data assets. These spaces enable more efficient data exchange, fostering innovation and collaboration within the industrial sector.

-        Virtual Employees and Digital Twin Development: By harnessing AGI (Artificial General Intelligence) and reinforcement learning technologies, we are developing 'Digital Twins' and virtual employees. These technologies replicate physical systems in digital platforms, enabling real-time monitoring, simulations, and predictions. Moreover, virtual employees, powered by AGI, can automate complex tasks, improving efficiency and productivity. 

-        Vision for Failure Detection: We use advanced Computer Vision technologies to automate the detection of faults and failures. By training models to interpret images and video feeds, we can identify potential issues faster and more accurately than ever before.

-        Vision for Semantic Scene Understanding: We are pushing the boundaries of Computer Vision to achieve semantic scene understanding, a technique that allows AI to comprehend and interpret visual scenes in the same way humans do. This contributes to more robust and versatile AI systems that can be utilized in a variety of industrial applications.

-        Digital Industry Assistants: Leveraging next-gen language models like GPT-4, LLAMA, MPT, etc., we are creating 'Digital Industry Assistants'. These AI-powered systems can understand, generate, and interpret human language, enabling them to assist in various tasks, ranging from customer support to document analysis and decision-making support.