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"Systematic literature reviews: Why, when, and how to do it?" seminarWe are excited to have completed Systematic literature reviews: Why, when, and how to do it?, the first seminar in our new joint doctoral series on digitalization. This series is designed to offer...

UPM develops Agentic AI framework to complement DIGEST project’s mission in sustainable data engineeringIn a compelling demonstration of academic innovation, Alejandro Martínez Esquivias, a student at the Universidad Politécnica de Madrid (UPM), has contributed to the...

BIM + Ontologies: A way to create abstraction on datasetsThe development of a federated ontology for knowledge representation in smart building environments emerges as a natural and strategic extension of the goals pursued within the DIGEST project. DIGEST is centered...

Self-guided, intelligent decision-support systems through DTL inside DIGESTIn the context of the DIGEST Project WP2, the UPM research team is elaborating a study that significantly advances the understanding and application of AI-driven quality inspection systems...

Two equivalent though apparently non-related problemsIn the framework of maintenance decision-making, a subject addressed by the DIGEST Project, reliability refers to the probability that a certain device will be functional without failure. If the time between...

Submit papers for publication in Volume 5 of the Engineering Asset Management Review (EAMR) Springer Book SeriesWe invite authors to submit papers for publication in Volume 5 of the Engineering Asset Management Review (EAMR) Springer Book Series. Dear friends and...

Hierarchical data management and agentic intelligence in the CeDIntWithin the framework of the DIGEST project, we have completed the data acquisition phase for the CeDInt building at the Universidad Politécnica de Madrid. This marks a critical juncture in our effort...

Increasing trust from IoT devices through feeless DLTIOTA Enables Devices to Speak for Themselves—Securely and Transparently. Inside the context of the DIGEST project WP2, a significant contribution for increasing trust and transparency for data being delivered by...

Low-cost solution for monitoring assets on the goInside the context of the DIGEST project WP3, a significant contribution for a modular and low-cost system able to monitor different parameters such as Temperature, position, etc. has been built and tested. It...

IoT security risks in industryThe deployment of millions of IoT devices across key industries such as Financial Services, Government, Healthcare, Manufacturing, and Retail has provided a snapshot of the current state of enterprise IoT cybersecurity. The large-scale...

Reinforcing learning: Leveraging experience to acquire new knowledgeReinforcement Learning (RL) is fundamentally about learning optimal decision-making policies over time in environments that change, transitioning from one state to another based on the outcome of...

Cyber-resilience in industryIt is obvious that digitalization, connectivity, and automation are drivers of productivity and differentiation for industry. On the other side of the coin, however, are the cybersecurity risks. Cyberattacks against industry are causing...

New Digital Europe work programme for 2025-2027This Work Programme (WP) 2025-2027 of the Digital Europe Programme (DIGITAL) is the last one for the duration of the Multiannual Financial Framework 2021-2027. It is focused on realizing and ensuring the sustainability of...

DIGEST project steps forward in BIM Modeling, thanks to IoT and AI with the collaboration of CeDIntUnder Work Package 4 of the DIGEST project, this integration of BIM with IoT and AI shall be further forwarded by the leadership of Universidad Politécnica de Madrid...

Improving transparency on energy systems through digitalization technologiesThe DIGEST project participates in the Conference on Information Technology 2025 with the paper "Improving Transparency in Energy Transportation Losses through Digitalization Technologies"....

An original approach to the well-known Travelling Salesman ProblemSince its first approaches in the nineteenth century, scholars have paid extensive attention to the Travelling Salesman Problem (TSP); likely due to the confluence of a simple definition, a variety of...

Tech giants and the nuclear leap: Inevitable evolution or risky gamble?Data centers dedicated to artificial intelligence have become massive consumers of electricity, prompting giants like Microsoft, Google, and Amazon to reconsider their energy sources. Although...

Deep reinforcement learning for intraday multireservoir hydropower managementNew Publication: Advancing Hydropower Optimization with Reinforcement Learning We are pleased to announce the publication of our latest research, titled "Deep Reinforcement Learning for...