How have the 16 champions from ELISE's 1st open call been doing?
published on
November 28, 2022
Excellent news to the AI community! With ELISE open calls funding, micro-projects were initiated to develop novel services and applications of AI to address pre-defined focus areas. 16 SMEs have just finalized the 6-months journey with ELISE. Curious to see how they have been implementing these and what are their takeaways about ELISE ? Keep on reading!
1. Mimica Automation:
We are building an AI that records clicks and keystrokes, understands the task at hand, and generates automation code for it. Thanks to the support from ELISE we were able to carry out a successful AI project that delivered real value to our customers.
For more information: http://mimica.ai/
2. ONCOMECA
ONCOMECA is both a start-up and a medical device for the diagnosis of skin cancers, which uniquely combines an optical sensor, a robotic palpation and an artificial intelligence (AI). The goal is to drastically improve the quality and timeliness of skin cancer diagnosis by practitioners and relieve the healthcare system.
ArtiMonoRec integrates an AI module which is built on top of the existing Artisense product VINS (visual inertial navigation system) and delivers highly accurate dense reconstruction of the environment from a moving camera. Furthermore, the system is able to detect and mask out moving objects.
“The ELISE Open call enabled us at Artisense to develop a state-of-the-art research project further and to build a novel and innovative product.” - Prof. Dr. Niclas Zeller
“The ELISE project experience pushed us to achieve what would have not otherwise been possible, as well as get support from one of the best scientists in the field.” - Andres P. Torres, Head of AI at Maekersuite
"Participating in the ELISE Open Call allowed us to focus on very important aspects of our product that require machine translation to be more responsible, i.e., be more robust and make fewer severe translation errors. This innovation required using machine-learning-based natural language processing models that helped us get to the next level of translation quality. The process was well organized and the experience was very positive." – José Souza, Senior Research Scientist, Unbabel
Cyber security automation requires reliable, machine-readable information. SCR.AI turns full text incident and threat reports into machine-readable data sets. The attack description is analyzed using Natural Language Processing and expressed using the relevant industry standards, such as MITRE ATT&CK and STIX2. These data sets are used to automate threat analysis, so that companies obtain an early- warning-system for cyber risks.
AIGEA Medical is a MedTech startup: focusing on Artificial Intelligence applied to radiology workflows and digital imaging, we propose DeepMammoTM, the AI empowering radiologists in early detection of breast cancer.
Thanks to the support from ELISE in the Open Call we improved DeepMammoTM, implementing a core planned technical step in our roadmap, i.e. the enrichment with a novel AI for Automatic Generation of Medical Reports from Images, thanks to state-of-the-art NLG (Natural Language Generation) technology.
“Our goal in FuVeX is to automate the digitization of power lines by enabling the industrial use of long-range drones. One of the main challenges we face is ensuring that the sensors onboard the drone capture the right power line data. We are grateful to ELISE as it has provided us with the opportunity to develop the project AUTONOMOUS EDGE in which we have achieved to develop a prototype of an AI system to detect power lines and automatically point the sensors in the direction of these infrastructures” - Carlos Matilla, FuVeX CEO.
Via the support of the ELISE funding, iThermAI could develop the core of their smart smoke and flame detection. State-of-the-art deep-tech technology is used in this product to efficiently detect flame and smoke using inexpensive on-the-edge processing.
“The ELISE funding has been an excellent springboard to facilitate our internal R&D efforts aimed at bringing the power of machine learning to the resource extraction industry.” – Simon Zieleniewski
“ELISE was a great experience and helped us develop the efficiency of our synthetic data pipeline. As a startup, we need support from the research community as we need to focus on our business and due to lack of resources, we will otherwise easily lose track of the recent developments in the key fields of Computer Science. I highly recommend working with the ELISE community!” - Jussi Gillberg, CEO at Yield Systems
In ELISE, we developed a family of specialised multilingual models, which could not only understand conversational queries (in every language) better but can also provide better results for specific domains (eg banking, travel, etc).
We found that most of the value from ELISE was that we got the opportunity to be paired up with one of the top researchers in multilingual AI, who became our academic advisor. We found her comments very helpful, and hope that we can collaborate more closely with her in the future.
Ellogon.AI aims at selecting the right patient for cancer immunotherapy as quickly as possible in cancer treatment with AI, focusing on breast cancer, lung cancer, and melanoma. Because of our experience with ELISE Open call I could work in an exciting business environment while working on a research-based topic, therefore new insight could immediately be adopted into business development. As a result, the gap between research business solutions becomes smaller and scientific innovation can be integrated in practice soon.
As part of Elise, our company has improved the performance of the Skinive MD application, making the product more stable, user-friendly and efficient for use in medical practices. The algorithm's capabilities have been expanded, namely the accuracy of the technology for most classes has been improved and the number of false negatives has been reduced by a factor of 3.8.
“Who helps us better to improve AI than the European Network of AI Excellence Centers? We are pleased to have been chosen to implement our socially important project.” - Co-founder & Product Manager of Skinive.
Reperio, a MedTech spin-off of the Ophthalmology department of the University Medical Center Groningen, was founded at the end of 2019 by Dr. Alessandro Grillini. What started as a little side-project during Grillini's Ph.D. has now become a startup with a team of 7 and an international network of research and industry partners.
"With ELISE funding, Reperio intends to develop the first truly automatic and objective visual field test that can be deployed anywhere. This will be done by training a recurrent neural network with eye-tracking data of patients performing a simple and intuitive visual task. “Beyond the mapping of visual field sensitivity, what we want to achieve is the development of an algorithm capable of telling if the visual field defect is glaucomatous (i.e. caused by the presence of Glaucoma) or not, as well as predicting the degenerative loss over time” - Dr. Grillini.
Stratio develops models to predict vehicle faults before they occur, so that the driver can intervene before a breakdown occurs. The main objective of this project was to understand if it is possible to shorten the development time of these models by using a robust self-supervised approach.
“ELISE provided the initial funding that allowed Stratio to explore a radically new approach, which the Stratio R&D team will continue to improve, both in-house and through future EU-funded research projects.” - Paulo Bajouco, Stratio’s CFO
Exciting, right? To see how ELISE has been able to help develop so many amazing projects.
In addition, our ELISE beneficiaries were presented during ECML in Grenoble (during Industry Days on Friday September 23rd). It was such an amazing experience to participate and so encouraging to hear the results of the winners. Please refer to this event for more information.
Last but not least, ELISE second open call will be launched on December 8th 2022. Keep an eye on our website to get more information and have the opportunity to get up to € 60,000 funding.
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