2502, 2025

UPM Advances Trustworthy and Efficient AI with Edge and LLM Research

The SMARTY Chips JU Project continues to push the boundaries of secure and efficient AI integration. Two recent research publications within the project, authored by researchers from UPM, demonstrate significant progress in two key areas: trustworthy AI reasoning and efficient edge AI deployment. Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems One study focuses on integrating TinyML

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2801, 2025

SMARTY Use Case Owners Series: Meet Cooperative ADAS  

Continuing our series on SMARTY use case owners, we focus on the transformative work in advancing cooperative ADAS, redefining automotive safety and efficiency in connected vehicles.  This SMARTY use case tackles key challenges in current ADAS systems, including limited onboard AI capabilities, sensor constraints, latency issues, and non-quantum resilient communication. By leveraging edge computing and quantum-resilient technologies, the project introduces a collaborative perception framework to enhance safety and operational efficiency

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2001, 2025

SMARTY Use Case Owners Series: Meet Technische Universität Berlin

Continuing our series on SMARTY use case owners, we turn the spotlight on TUB (Technische Universität Berlin) and their contributions to Advanced Driving Assistance Systems (ADAS) through the SMARTY project. TUB’s focus lies in advancing cooperative perception for driving assist systems, ensuring ADAS can reliably interpret and predict road-user movements in diverse and complex traffic scenarios. By leveraging SMARTY’s secure and innovative solutions, TUB is advancing ADAS development and testing.

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1612, 2024

SMARTY Use Case Owners Series: Meet InbestMe 

Continuing our series on SMARTY use case owners, we spotlight InbestMe and their pioneering work to revolutionize investment portfolio management.  Working with SMARTY, InbestMe aims to address key challenges in automated and personalized investment management, including scalability, security, and operational efficiency. By integrating cutting-edge solutions, InbestMe ensures data integrity and privacy of sensitive financial data and operations within cloud environments.  Key advancements introduced by InbestMe include:  With these innovations, InbestMe streamlines operations

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1012, 2024

SMARTY Use Case Owners Series: Meet Italtel

In our series on SMARTY use case owners, we spotlight Italtel and their innovative efforts to redefine secure peer-to-peer (P2P) communication for telco operators. Through SMARTY, Italtel aims to address the critical need for security, scalability, and trust in edge computing platforms that handle sensitive telecommunications data without compromise in service requirements. By focusing on P2P communication within edge networks, the plan is to meet the growing demand for communication

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2711, 2024

SMARTY Use Case Owners Series: Meet Continental

Launching our series on use case owners, we highlight Continental and their contributions to securing on-board electronics within the automotive sector. Continental’s work within SMARTY highlights the critical role of cybersecurity in advanced automotive systems like Vehicle-to-Everything (V2X) communication and Advanced Driver Assistance Systems (ADAS). With secure on-board electronics, Continental protects these systems from unauthorized access, ensuring both vehicle safety and data integrity. Through SMARTY’s collaborative innovation, Continental advances security in connected

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SMARTY Kick-off
1806, 2024

SMARTY Kick-off

Hosted by CNIT in the beautiful, historical city of Pisa, the SMARTY Project has launched with a kick-off event. The consortium, comprising 33 international partners across 11 countries, is set to develop advancements in AI systems focused on transparency, security, and accuracy, with significant implications for sectors such as healthcare and autonomous vehicles. At SMARTY, we’re committed to advancing digital rights with a focus on traceability, security, and privacy, in

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