Optimal Management of Demand
Increasing demands and time pressures accelerated by the pandemics make organizations ask for new automations to proactively manage their environments. The OMD framework produced in this project helps businesses to assign the correct agent to a specific service demand effectively, and remotely. This will shorten the time and reduce the cost of operations avoiding repetitions. The OMD framework will rapidly contribute to many sectors effectively using AI models to improve service as a CSM approach. Improving the overall efficiency of operations on the supply side, the project also increases customer happiness.
Next Generation Automated Security Testing
IoT device manufacturers and operators face the challenge of defending a vastly larger attack surface with essentially the same resources. Methods and tools for automated security testing are needed to eliminate security weaknesses lurking in software or APIs. NGAST will tackle these challenges by creating methods to automatically identify software bugs leading to security vulnerabilities and an open, extensible platform where these methods can be easily applied. NGAST’s goal is to develop a next-generation CI/CD-capable automated security testing solution for source code, binaries, and distributed systems in the Internet of Things (IoT).
Encrypted Network Traffic Analysis for Cyber Security
Today, more than 80% of Internet traffic is encrypted and there is a strong need for innovative research and development of tools able to provide visibility into encrypted traffic and detect cyber-attacks. The ENTA project will explore two use cases based on Encrypted Network Traffic Analysis (ENTA) to: identify encrypted applications and encrypted Rogue IoT devices. The ENTA project will deliver an encrypted traffic analysis service platform for cyber security that will support a number of basic building blocks necessary for any ML/DL based traffic analysis. The platform will enable other application development e.g., detection of data exfiltation using encrypted channel.
Automated Quality Assurance and Optimization in Incremental Industrial Software Systems Development
Too often it is observed that as a system is being built and incremented with new features, certain quality aspects of the system begin to deteriorate. Therefore, it is important to be able to accurately analyze and determine the quality implications of each change and increment to a system. To address these challenges, SmartDelta builds automated solutions for quality assessment of product deltas in a continuous engineering environment by providing smart analytics from development artifacts and system execution, offering insights into quality improvements or degradation of different product versions, and providing recommendations for next builds.
Healthcare Knowledge Discovery
HeKDisco proposes a novel knowledge discovery process in health care systems that will provide physicians with reliable evidence on various treatment stages and clinical events, thereby reducing individual clinical errors. HeKDisco, following evidence-based medicine (EBM), aims to use the best (reliable) evidence in making decisions about the care of individual patients so that clinician’s experience, patient’s values and preferences, and the best empirical clinical guidelines are integrated. HeKDisco aims to transfer big health data from volume-based to value-based by generating a relational knowledge base that can lead to innovative treatments, predict therapeutic outcomes, and early diagnosis.
Hybrid workspaces for humans and (semi-)autonomous vehicles
Autonomous vehicles are being utilized by many industries such as agriculture, retail, mining, manufacturing. The aim of the V-Space project is to bring a unified solution for hybrid workspaces where humans and AVs collaborate together. The project has two complementary use cases focusing on ports and private spaces. Autonomous transports within ports is a key enabler for more intelligent and sustainable ports, forming the basis for predictable and cost-efficient operations. Similarly, there are large opportunities to be gained especially in smaller warehouses and other private spaces exploited by companies.
Automation, Surgery Support and Intuitive 3D visualization to optimize workflow in IGT SysTems
Current software image-guided therapy applications to assist the physician still require significant manual user interaction while all attention should go to the patient instead. The ASSIST project will develop technologies and solutions to get the physician back in control of the clinical procedure by assisting or automating part of the physician’s tasks during image-guided therapy procedures. The aim of the project is to optimise and simplify the workflow in image-guided therapy procedures with the main goal of streamlining physicians’ work, optimising imaging systems, improving patient outcomes, reducing human error and lowering costs.
Privacy preserving cross-organizational data analysis in the healthcare sector
Sensitive health data is often kept in silos in a way that cannot be efficiently leveraged for legitimate medical, research and data analysis purposes. The goal of the Secur‐e‐Health project is to integrate new approaches for digital ID technologies and privacy-preserving analysis techniques in a secure system infrastructure. The Secur-e-Health system allows medical institutions of all types to collaborate together and leverage data analyses and insights. This is expected to have a significant impact on the quality of the medical predictive models, the efficiency of data-driven treatments, the acceleration of new clinical research, and the improvement of healthcare in general.
Sensing and Image-Guided Neurological therapies, cardiac Electrophysiology and Tumour treatments
The overall objective of SIGNET is to develop efficient image-guided treatment workflows to replace currently complex procedures in cardiology, oncology and neurology. We develop systems and technologies, AI-enabled products and solutions, necessary to ultimately realize the North Star of single-episode, personalized, dose-adaptive, high-precision Magnetic Resonance guided treatments and interventions. These technologies and solutions aim to improve patient comfort, safety, treatment outcome, staff availability and economic viability. We focus on use cases where alternative image guidance approaches are either not feasible or where the value of direct MR visualization is obvious.
Innovating Sales and Planning of Complex Industrial Products Exploiting Artificial Intelligence
InnoSale aims to innovate today’s sales systems and processes for complex and variable industrial equipment, plants and services that require time-consuming back-office support. InnoSale develops methods to increase the expressiveness of validation rules and to suggest relevant purchase options (case-based reasoning). Sales engineers will be supported in finding previous customer requests & orders and other suitable solutions quickly as well as identifying similarities between customers (evolutional clustering). User experience will be improved supported by combining deep learning systems with augmented reality techniques, 3D modelling and 3D printing.