A cutting-edge environment dedicated to the exploration and advancement of artificial intelligence. 

We seek to unlock new possibilities to apply AI approaches to different use-cases and scenarios. The goal is to use this technology to help INOVA+ and our client organizations grow.

Our dedicated Lab was set up in the offices of Heidelberg, Germany, as to tap into the local and regional excellence and innovative hubs, teams of scientists, engineers, and technologists that collaborate to push the boundaries of AI capabilities in Europe. 

Our experience in research projects
and internal development has been applied to:

Explore the potential of Artificial Intelligence with a partner that connects you to the entire Innovation ecosystem! 

How INOVA+ can help:

We have experience in creating, managing
and executing AI related projects.

CODECO stands for Cognitive Decentralized Edge to Cloud Orchestration. It is an open-source software framework pluggable to K8s. CODECO improves the energy efficiency and robustness of the Edge-Cloud infrastructure (compute, network, data) by improving application deployment and run-time. CODECO’s vision is based on a cognitive and cross-layer orchestration. It considers as layers the data flow, computation, network. Its focus is on creating a flexible and resource efficient Edge-Cloud infrastructure. Use-cases include smart cities, manufacturing, energy and mobility. 
DIH (Digital Innovation Hub for ArTificial InTelligence and High-PeRformAnce CompuTing) believes that digital transformation, namely solutions based on AI and HPC, will represent important business opportunities at the international level, for companies and technological sectors, allowing significant qualitative leaps in the performance of organisations. Our efforts in Portugal promote and support experimentation, testing, development and adoption of solutions using Artificial Intelligence and HPC. 
Project will support a total of 46 pilot products in Portugal concerning the development of technology-based solutions, new products and services, therefore fitting in the Test Bed Leader* category.
Is set to establish a distinctive European Center of Excellence focused on advancing fundamental research in Adaptive, Green, Human-Centric, and Trustworthy AI. The project seeks to elevate research within key sectors such as healthcare, energy, manufacturing, and space by attracting top talents, technologies, and resources from leading research and industry entities in Europe. By conducting high-level research aligned with industry challenges, ENFIELD aims to strengthen the EU’s competitive position in AI, generating significant socio-economic impact for European citizens and businesses. 
Transforming European INDUstrial Ecosystems through eXtended Reality enhanced with human-centric AI and secure, 5G-enabled IoT. The project envisions a human-centric XR ecosystem that will transform European industrial sectors by empowering humans and creating innovate XR products and services of significant added value. It targets for concrete scientific breakthroughs integrated in technological enablers that will be applied in use cases driven from real-life needs while having the potential to be replicated in several other applications. INDUX-R reflects upon the societal and ethical challenges that XR poses, building a legal and ethics framework that will ensure that technological development is aligned with European values. 
Nanomaterials applied to the muscular rehabilitation of elderly using Artificial Intelligence. This project was executed in Portugal aimed to develop a rehabilitation shirt for the elderly (a wearable), based on intelligent textiles that integrate a set of sensors and actuators with multiple rehabilitation functions. This wearable’s sensor/actuator array, powered internally by a semi-structural battery, will be controlled remotely by specialised medical centres which, using an Artificial Intelligence system, will interpret the data collected while rehabilitating the patient by sending electrical responses/stimuli aimed at very specific muscle groups. This project offers the possibility for the patient to carry out the therapy comfortably at home, allowing for a reduction in social and economic burdens, as well as the opportunity for hospital centres to reduce the number of inpatient falls.  
Is a PT2020 project (Co-Promotion with International Partnership) that brings together a consortium of six Portuguese organisations and the University of Texas at Austin to create an innovative muscle treatment system based on the use of (nano)electrodes integrated into a garment. The NanoStim project will also develop an App for the smart devices that will allow the patient to connect to the system and for formal caregivers to provide remote monitoring. The patient, or an informal carer, will be able to contact the system via the app to obtain information on the current state of treatment, comment on sessions, consult the treatment history and ask questions to the doctor in charge (chat system).
Is a pioneering project that seeks to harness the power of virtual reality (VR) to foster cognitive empathy in educational settings and enhance inclusive digital education across the European Union. The aim of the project is to design, test and scale up innovative solutions, supported by a quality assurance framework, to promote the informed adoption of virtual reality (VR) for the development of cognitive empathy in schools, thereby enhancing quality and inclusive digital education at EU level.
Is a small project on sea food distribution value-chain. AI was applied to monitor water quality parameters during the maintenance and transport of shellfish. Mortality during maintenance and transport is high, greatly reducing the product’s value. The idea is to reduce operational costs and mortality through a digital layer that monitors and optimizes equipment operation (energy efficiency) and provides food safety and traceability. AquaDig takes advantage of digital innovation to increase data collection and processing enabling tangible efficiencies and benefits. 
this German funded project addresses Glioblastomas which are an aggressive form of brain tumours. Standard procedure for the treatment of this cancer is a combination of surgery and radiation-therapy. In addition, chemotherapy with temozolomide (TMZ) is used. AI is used to examine whether the tumour progresses or if the treatment is being effective. A distinction between tumour progress and inflammation (pseudo-progress) is possible with biopsy, and we developed a reliable method of differentiation to protect patients who are not benefiting from another TMZ treatment from due to toxic effects, and to avoid unnecessary biopsies.

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