NEMO

Syndesis Selected for NEMO Open Call #2: Implementing the EdgeMind Project

Syndesis is happy to announce its participation in NEMO Open Call #2 (https://meta-os.eu/index.php/open-calls/), an initiative designed to validate user acceptance and accelerate the widespread adoption of the NEMO meta-OS. Open Call #2 invited EU-based SMEs to enhance NEMO’s Living Labs by integrating applications and services that leverage the platform’s advanced capabilities, such as handling high device heterogeneity, on-device machine learning, low latency, energy efficiency, and IT sustainability.

As part of this initiative, Syndesis was selected to implement EdgeMind, an innovative pilot project that integrates cutting-edge AI technologies, including Large Language Models and lightweight speech-to-text models, into edge devices. The project focuses on delivering high-performance, low-latency solutions for real-time applications, including personalized athletic coaching, while aligning with NEMO’s mission of advancing edge computing.

Key Features of EdgeMind:

• Real-Time Applications: Showcases LLM versatility for diverse use cases like sports coaching and translation.
• AI Integration: Employs Whisper.cpp for natural, voice-driven interactions and optimizes AI for edge devices to ensure low-latency performance.
• NEMO Collaboration: Enhances Living Lab use cases with real-time feedback systems for athletes and applications like workplace safety monitoring.
• Real-World Testing: Validates the EdgeMind system in live settings to ensure usability, energy efficiency, and reliability.

Expected Outcomes:

• A fully functional EdgeMind system capable of real-time coaching and other applications.
• Comprehensive documentation of LLM deployment benefits for edge devices, including health monitoring and translation.
• Seamless integration with NEMO’s meta-architecture, demonstrating its potential for real-world applications.

As a spin-off of NCSR “Demokritos,” Syndesis contributes its expertise in edge computing, AI, and healthcare and wellbeing innovation. With a strong history of success projects, Syndesis ensures the EdgeMind pilot is optimized, validated, and ready for deployment and real-world adoption.

Vedliot

The VEDLIOT project

As the Internet of Things (IoT) continues to take shape, promising widespread automation and data exchange, one of the biggest challenges is to act on the data generated. The amount of data collected is huge, the computational power required for processing is high, and the algorithms are complex.

The EU-funded VEDLIoT project (https://vedliot.eu/project/edge4iwelli/) develops an IoT platform that uses deep learning algorithms distributed throughout the IoT continuum.

The proposed new platform with innovative IoT architecture is expected to bring significant benefits to a large number of applications, including industrial robots, self-driving cars, and smart homes.

The project offers an Open Call at project midterm, incorporating additional VEDLIoT-related industrial use-cases in the project, increasing the market readiness of the VEDLIoT solutions.

PHArA-ON Project

The overall objective of the PHArA-ON project is to provide support for Europe’s ageing population by integrating digital services, devices, and tools into open platforms that can be readily deployed while maintaining the dignity of older adults and enhancing their independence, safety, and capabilities.

The project will utilise a range of digital tools including connected devices (e.g., the Internet of Things, IoT), artificial intelligence, robotics, cloud and edge computing, smart wearables, big data, and intelligent analytics that will be integrated to provide personalised and optimised health care delivery. (https://www.pharaon.eu)

Murcia Pilot in Spain

The Murcia pilot within the framework of the PHArA-ON project, aims to establish the basis of a new TeleCare Model for the Public Health Care Service of the region starting with patients with chronic heart failure, improving their health and care services and detecting emergency situations to reduce the dependency of older adults.

Cardiovascular diseases (CVD) remain the leading cause of mortality and a major cause of morbidity in Europe. Multimorbidity older people present with cardiac disease often require complex long-term treatment.

Pilot project CardioNET

The pilot project CardioNET will be implemented within the framework of the Murcia Pilot in Spain and will implement and validate the Clinic.iwelli (https://clinic.iwelli.com/) technology.

This is a proven technology that has been implemented and validated in pilots and is part of the iwelli ecosystem of ehealth technologies. Clinic.iwelli will provide nonintrusive cardiac monitoring with a portable (Credit Card like) accurate and easy-to-use ECG device, for older individuals with heart problems like heart failure.

The older people utilising the same toolkit (mobile apps) will be able to monitor their blood pressure, weight and other Vital signs either using their own devices or adopting the Clinic.iwelli systems. The toolkit includes also AI algorithms that automatically diagnose AF and provide analytical data to the doctor.