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Reinforcing learning: Leveraging experience to acquire new knowledge

Reinforcing learning: Leveraging experience to acquire new knowledge

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 Industry

Cyber-resilience in Industry

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 2025-2027

New Digital Europe Work Programme for 2025-2027

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...

An original approach to the well-known Travelling Salesman Problem

An original approach to the well-known Travelling Salesman Problem

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...

ESReDA 2025 DMAD Working Group

ESReDA 2025 DMAD Working Group

ESReDA 2025 DMAD working groupESReDA 2025 Date: January 21stt, 2025 Place of celebration: Escuela Técnica Superior de Ingenieros Industriales. Universidad Politécnica de Madrid. Calle José Gutiérrez Abascal 2 - 28006 (Madrid) Information: Last January 21st, 2025, the...

Paper Published in Mathematics Journal

Paper Published in Mathematics Journal

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...

Paper Published in Journal of the Knowledge Economy

Paper Published in Journal of the Knowledge Economy

Measuring the connection between open innovation, dynamic capabilities, and LinkedIn in tech-based companiesThe paper Measuring the Connection Between Open Innovation, Dynamic Capabilities, and LinkedIn in Tech-Based Companies, falls squarely at the intersection of...

Paper Published in Algorithms Journal

Paper Published in Algorithms Journal

A systematic approach to portfolio optimization: A comparative study of reinforcement learning agents, market signals, and investment horizons The achievements in the domain of RL, especially related to the WP2 of the DIGEST research project, are quite revolutionary...

Can generative AI transform quality assessment processes?

Can generative AI transform quality assessment processes?

Can generative AI transform quality assessment processes?The emergence of generative AI technologies like Gemini 1.5 Pro is opening up new opportunities for automating data cleaning, validation, and enhancement. While LLMs are optimized for conversational tasks, their...

Asset tracking trend

Asset tracking trend

Asset tracking trendAsset tracking remains a cornerstone of mobile device management, addressing the crucial need to monitor and manage assets effectively. Despite the availability of numerous commercial applications—comprehensively summarized in resources like this...

Amir joins DIGEST

Amir joins DIGEST

Amir Farmanesh joins DIGESTIT Technician recruited for DIGEST  Date: July 30th 2024 Place: Escuela Técnica Superior de Ingenieros Industriales (ETSII) of UPM, Madrid, Spain Information: By this date Amir has accepted to join the Team supporting the technical...

Presentation of a paper at International Engineering Conference

Presentation of a paper at International Engineering Conference

Presentation of a paper at International Engineering ConferenceWe are pleased to announce that Carlos García-Castellano Gerbolés, along with co-authors Miguel Gutiérrez, Miguel Ortega Mier, and Joaquín Ordieres Meré, has presented a significant research paper at the...

New Researcher Joins DIGEST Project with FPI Pre-Doctoral Contract

New Researcher Joins DIGEST Project with FPI Pre-Doctoral Contract

Carlos, a new memberThe project "Digitalization as Key Enabler for Asset Management" (DIGEST) is pleased to welcome Carlos García-Castellano Gerbolés as a new researcher under an FPI (Formación de Personal Investigador) pre-doctoral contract. This support aims to...