Call for Application Experiments Based on Advanced Microelectronics & Smart System Integration Targeting Health, Agrifood, and Manufacturing

The EU-funded network of digital innovation hubs DIATOMIC will distribute EUR 1.5 M to European SMEs, midcaps and Competence Centers. DIATOMIC is looking to accelerate development and adoption of new products/processes based on smart electronics and smart systems in health, agrifood, and manufacturing sectors. The call for applications is open from 15 March to 15 June.

Starting from 15 March 2018, DIATOMIC, a pan-European network of Digital Innovation Hubs, is looking to support innovative and scalable application experiments within advanced microelectronics (AME) technologies and smart system integration (SSI) domains. By bringing SMEs/midcaps and Competence Centres together, these experiments will result in quick, low-risk development of AME/SSI based products and processes.

"In both fast moving and competitive markets, the long-term success of higher valued products with 'digital inside' more often than not require resources that are generally out of reach for SMEs/midcaps. Therefore, DIATOMIC will provide the right tools to make experimentation with advanced microelectronics, as well as, smart system integration technologies simple, attainable and effective," says Dr. Raimund Bröchler (INTRASOFT Intl), DIATOMIC coordinator.

Designed as a one-stop shop, DIATOMIC pulls together resources and expertise from each Digital Innovation Hub, offering a comprehensive service package: advanced testbed and experimentation facilities, needs-based business and matchmaking services, and much more.

Small consortia consisting of 2 to 3 partners, from the EU and associated countries are invited to apply for up to €200,000 per application experiment. Microelectronics components and smart system integration are considered as an essential part of proposed technological concepts, starting from a Technology Readiness Level (TRL) of 3. In addition, consortia are requested to provide an initial exploitation plan for their experiments. Following selection and evaluation process, each experiment will enter DIATOMIC Design-Develop-Market program lasting between 9 and 15 months.

"We are looking for promising AME/SSI based products and services to serve and disrupt health, agrifood, and manufacturing sectors and will support them from prototype to market - in terms of technology, funding, and business support," comments Dr. Bröchler. Tech-providers can sign up for DIATOMIC one-stop shop platform - which enables them to offer their resources/facilities through one of our innovation hubs and subsequently cater to the needs of SMEs/midcaps. Additionally, for the purposes of consortium building, SMEs/midcaps can refer to DIATOMIC brokerage helpdesk on F6S.

For more Open Call documentation, please visit:
http://diatomic.eu

About Diatomic

DIATOMIC is a Europe-wide, EC-backed network of Digital Innovation Hubs, with €3 million committed in funding for microelectronics SMEs and midcaps. In alignment with the Smart Anything Everywhere initiative goals, DIATOMIC aims to be Europe's foremost network of innovation hubs in the industries of health, agrifood, and manufacturing.

Most Popular Now

Do Fitness Apps do More Harm than Good?

A study published in the British Journal of Health Psychology reveals the negative behavioral and psychological consequences of commercial fitness apps reported by users on social media. These impacts may...

AI Tool Beats Humans at Detecting Parasi…

Scientists at ARUP Laboratories have developed an artificial intelligence (AI) tool that detects intestinal parasites in stool samples more quickly and accurately than traditional methods, potentially transforming how labs diagnose...

Making Cancer Vaccines More Personal

In a new study, University of Arizona researchers created a model for cutaneous squamous cell carcinoma, a type of skin cancer, and identified two mutated tumor proteins, or neoantigens, that...

AI can Better Predict Future Risk for He…

A landmark study led by University' experts has shown that artificial intelligence can better predict how doctors should treat patients following a heart attack. The study, conducted by an international...

A New AI Model Improves the Prediction o…

Breast cancer is the most commonly diagnosed form of cancer in the world among women, with more than 2.3 million cases a year, and continues to be one of the...

AI System Finds Crucial Clues for Diagno…

Doctors often must make critical decisions in minutes, relying on incomplete information. While electronic health records contain vast amounts of patient data, much of it remains difficult to interpret quickly...

New AI Tool Makes Medical Imaging Proces…

When doctors analyze a medical scan of an organ or area in the body, each part of the image has to be assigned an anatomical label. If the brain is...