Models Catalog Component of the Platform

Models Catalog Component of the Platform In the dynamic realm of Artificial Intelligence (AI) applied to manufacturing, XMANAI (eXplainable Manufacturing Artificial Intelligence) emerges as a platform designed to cater to professionals seeking not only advanced AI capabilities but also a profound understanding of their models. At the heart of this transformative platform lies the XMANAI […]

Explaining Transformers

Explaining Transformers Transformers are neural network architectures that have delivered performant solutions in several fields including Natural Language Processing (NLP), computer vision & audio/speech analysis.  In fact, state-of-the-art NLP models such as GPT4 and BERT are built using transformer blocks. The self-attention mechanisms upon which these models are built allow for parallel processing of the […]

How are the final MVP features contributing to the X-By-Design Concept?

How are the final MVP features contributing to the X-By-Design Concept? Introduction to the Final MVP As already discussed in a previous post, the XMANAI Minimum Viable Product (MVP) is designed with the minimum set of features and functionalities that can satisfy early adopters who, in turn, can promptly provide feedback for future improvements. During […]

The Power of X-by-design: Pioneering Transparency and Explainability through Design

The Power of X-by-design: Pioneering Transparency and Explainability through Design In recent years, artificial intelligence (AI) has rapidly transformed various industries, revolutionizing how we interact with technology and process information. However, alongside these advancements, concerns about the transparency and interpretability of AI systems have emerged. The concept of “explainable AI” (XAI) has thus gained significant […]

Intelligent ETL Solutions for XMANAI: API- and File Data Harvester

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Data is a driving factor when it comes to the growing impact of AI across all domains. As more and more industries want to benefit from the current development and adopt AI-products in order to accelerate their businesses, intelligent solutions for the processing and transportation of data, also referred to as ETL (Extract Transform Load) become increasingly relevant.

Partner Spotlight – Ford Motor Company

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Name: Javier Colomer Barberá
Job title: New Technologies Engineer
Organization: Ford Motor Company
Bio: Javier Colomer is a Telecommunications Engineer from the Polytechnic University of Valencia.

XAI Model Guard: The XMANAI AI Models Security Framework

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As manufacturing organizations are embracing the Industry 4.0 initiative that is revolutionizing the manufacturing sector towards the realization of smart factories, the adoption rate of technologies related to Artificial Intelligence (AI), machine learning, and analytics is also growing.

Explainable AI: a key to trust and acceptance of AI-based decision support systems

Explainable AI: a key to trust and acceptance of AI-based decision support systems Artificial intelligence is often based on complex algorithms and mathematical models that are difficult to understand. One of the characteristics of modern AI, based mainly on neural networks, is that it uses ‘black-box’ models, i.e. ‘boxes’ that make decisions without the user […]

Partner Spotlight – CNH Industrial

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Name: Claudia Campanella
Job title: Manager of Ergonomics-HMI-VR-AR
Organization: CNH Industrial
Bio: Claudia Campanella graduated in Industrial Design at the Polytechnic of Turin, realizing a thesis in physical ergonomics. She started working at Fiat Auto in 2000 and at the same time, she attended the Master in Ergonomics in which she created a thesis in cognitive ergonomics.

Industrial Asset Graph Modelling in XMANAI

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In the Industrial sector specifically, graph networks can describe pathways of IoT devices and sensor networks (Aggarwal, et al., 2017) in the framework of predictive maintenance, or represent associations between resources, daily workload and production in decision-making and dynamic scheduling problems (Hu, et al., 2020).