🎉At the last EsReDA Seminar, Prof. Joaquín Ordieres-Meré delivered a talk on how agentic AI and semantic technologies are redefining industrial asset management. A bold step toward truly intelligent operations.
🔗Read more: tiny.cc/22nv001
#CONGREGA26 #DIGEST #IoT #DigitalTwins

🎉 Ayer celebramos una nueva sesión de nuestra serie de seminarios para doctorandos, centrada en el papel del algoritmo de generación de columnas aplicado a problemas de corte unidimensional. ¡Gracias a todos por participar!
👉 Si quieres ver lo que viene: tiny.cc/1efv001

We are pleased to share that our research paper has just been published! Huge thank you to the authors and collaborators who made this work possible.

Stock Portfolio Management Based on AI Technology—now available in the Journal of Forecasting.
👉 tiny.cc/de1u001

🧭 Can quantum sensors beat GPS?
Not yet—but they’re closing in. Quantum tech leads in timing, is nearly there in navigation, and shows promise for positioning without satellites.
👉 Read our full breakdown: tiny.cc/doht001
#QuantumTech #PNT #GPS #DIGEST #IMU

Quantum computing is transforming predictive maintenance!
From smarter failure predictions to optimized scheduling and component simulations—tech like QML & VQE is changing the game. DIGEST & Prof. Villalba Díez are leading the way.
More here 👉 tiny.cc/7yxs001

🔍 DIGEST is investigating new approaches to predictive maintenance, starting with THGNN-RUL, a promising new model.

🔗 More on the project: tiny.cc/augs001

#PredictiveMaintenance #AI #DIGEST #AssetManagement #RUL #MachineLearning #Industry40

At DIGEST, we are transforming asset management with AI, digital twins, and probabilistic reasoning. Using the PAN framework, we aim to turn complex data into actionable insights, optimizing uptime and reducing costs.
📎 Learn more: tiny.cc/ld9s001

Our new study proposes a structured data model that integrates the Asset Health Index (AHI) into Digital Twins of energy converters. It addresses how to turn vast amounts of operational data into actionable insights for asset health and performance.

🔗 tiny.cc/z6sq001

📢 We are excited to share our research has been published in Applied Sciences (MDPI)! This work marks a significant step forward toward prescriptive maintenance and autonomous decision-making in industrial environments.

🔗Read more: tiny.cc/hvfq001

When we participated in the XXIX Congreso de Ingeniería de Organización, we also got the chance to present our paper titled «Dynamic routing of aerial vehicles for maritime surveillance: A discrete vs. continuous time approach.» Thank you #CIO2025!
🔗 tiny.cc/t8uo001

Last week, we participated in the XXIX Congreso de Ingeniería de Organización. It was an honor to attend and present our paper titled «Decision transformer as a classifier for the Iris dataset: A preliminary study.»
Thank you to the #CIO2025 team!

🔗 Keep up to date with our events: tiny.cc/t8uo001

📢 We are pleased to share that our paper, 𝘘𝘶𝘢𝘯𝘵𝘶𝘮-𝘦𝘯𝘩𝘢𝘯𝘤𝘦𝘥 𝘴𝘪𝘨𝘯𝘢𝘭 𝘱𝘳𝘰𝘤𝘦𝘴𝘴𝘪𝘯𝘨 𝘷𝘪𝘢 𝘝𝘘𝘌 𝘧𝘰𝘳 𝘪𝘮𝘱𝘳𝘰𝘷𝘦𝘥 𝘣𝘪𝘰𝘮𝘦𝘤𝘩𝘢𝘯𝘪𝘤𝘢𝘭 𝘧𝘦𝘦𝘥𝘣𝘢𝘤𝘬 𝘤𝘰𝘯𝘵𝘳𝘰𝘭, has been published in Digital Signal Processing (Elsevier).

🔗 tiny.cc/08bo001

🚨 Last week to register!
Join us for 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗖𝗕𝗠 & 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗠𝗮𝗶𝗻𝘁𝗲𝗻𝗮𝗻𝗰𝗲 𝗶𝗻 𝘁𝗵𝗲 𝗥𝗮𝗶𝗹𝘄𝗮𝘆 𝗦𝗲𝗰𝘁𝗼𝗿, a two-day event on predictive maintenance, digitalisation, and the future of railway operations.
📅 23–24 June 2025
📍 SKF Headquarters, Gothenburg, Sweden

🔗 Find out more and register: tiny.cc/js5n001

📢 Introducing Agentic AI—a modular, LLM-driven system for complex scientific and environmental reasoning. Built for transparency, aligned with DIGEST’s mission in sustainable AI.
🔗Read more: tiny.cc/w35l001
#AI #Sustainability #LLM #AgenticAI #HumanInTheLoop #ModularAI

👉The DIGEST project is making smart buildings smarter by integrating data from sensors & layouts. A federated ontology enables smarter decisions, saving energy & improving comfort—all with real-time data.
🔗Read more: tiny.cc/wqek001
#SmartBuildings #IoT #Sustainability

👉 Exciting progress from our team at DIGEST–focused on making AI systems smarter and more reliable for industrial quality inspection. The goal is a self-improving, adaptive AI system that reduces the need for constant expert intervention.
🔗Read more: tiny.cc/wemj001
#AI #DL #UPM #AI #QualityControl