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Category Archives: projects
Learning generative models for molecules
Drug discovery is a well-known and challenging problem. Typically, one needs to navigate through a vast chemical space of up to \( 10^{60} \) small organic molecules to find a potential drug candidate with desired properties. Such a trial-and-error process … Continue reading
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Tagged generative modeling, graph network, machine learning, research project, snsf
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Automated Bridge Defect Recognition
Infrastructure assets, such as bridges, need to be inspected regularly. Our objective is to reduce the need for human involvement, minimize risks to health and safety, decrease the impact of subjective engineering assessments, digitize asset management, and promote sustainable inspection … Continue reading
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Tagged Bridge Defect Detection, Contrastive Learning, innossuise, LeanBI, machine learning, research project, Self-supervised learning
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MIGRATE – A Multidisciplinary and InteGRated Approach for geoThermal Exploration
To mitigate climate change, our society must reduce its carbon footprint coming from fossil fuel energies and favor green energy solutions instead. Geothermal energy is a resource this available in abundance. However, the development of this sector is hindered by … Continue reading
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Tagged machine learning, research project, snsf
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Interpretable Condition Monitoring for Complex Engineering Systems
Just as it is important for us to monitor our own body in order to maintain good health, we should have an accurate understanding of the state of engineering systems in order to prevent failures. In this project, entitled "Interpretable … Continue reading
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Tagged machine learning, Naoya Takeshi, research project, snsf
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EO4EU: AI-augmented ecosystem for Earth Observation data accessibility with Extended reality User Interfaces for Service and data exploitation
A vast amount of Earth Observation (EO) data is produced daily and made available through online services and repositories. Contemporary and historical data can be retrieved and used to power existing applications, to foster innovation and finally improve the EU … Continue reading
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Tagged Contrastive Learning, earth observation, Horizon, Learned Compression, project, research project, Self-supervised learning
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LiBertaS: Enhancing Location Based Services by tackling the market barrier of costly data collection requirements of fingerprinting positioning systems
LiBertaS aims to liberate the access of Location Based Services (LBS) to the highly accurate fingerprinting methods in business practice, by greatly downscaling the data volume needed for their operation. Location Based Services (LBS) have recently undergone a tremendous increase … Continue reading
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Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project
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Eratosthenes: Deep generative modeling for indoor and outdoor positioning with fingerprinting methods
Eratosthenes is a research project funded under the Spark funding scheme of the Swiss National Science Foundation (SNSF). The aim of the Spark is to fund postdoctoral researchers to implement "projects that show unconventional thinking and introduce a unique approach". The relevant criteria for the award … Continue reading
Posted in projects
Tagged generative modeling, Greg, Grigorios G. Anagostopoulos, IoT, IoT positioning, localization, LoRaWAN positioning, outdoor localization, Outdoor positioning, positioning, postdoc, project, research project, snsf, VAE
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IAI: Industrial Artificial Intelligence for intelligent machines and manufacturing digitalization
IAI is an Innosuisse project, funded under the joint call in which partners from South Korea and Switzerland are invited to collaborate. At the Swiss side of the consortium, our team collaborates with ABB, a pioneering technology leader with a … Continue reading
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Tagged abb, innossuise, onepredict, predictive maintenance
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Rawfie: Road-, Air-, and Water- based Future Internet Experimentation
RAWFIE (Road-, Air-, and Water- based Future Internet Experimentation) is a project funded by the European Commission (Horizon H2020 program) under the Future Internet Research Experimentation (FIRE+) initiative that aims at providing research facilities for Internet of Things (IoT) devices. The DMML team has been involved in the RAWFIE project since early 2015 and delivered their final contributions in June 2019 as the the project ended. The members of the team invested in the project, Jason and Lionel, were responsible for the design and development of the platform's data analysis tools, enabling experimenters to apply machine learning algorithms on data collected via the platform's unmanned devices.
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Tagged Data analytics, european project, H2020, Horizon, IoT, research project
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MEDInA: sMart EDge fabric for Iot Applications
MEDInA is an Innosuisse project, enabling the creation of low cost IoT self-adaptive Machine Learning based applications by developing an Artificial-Intelligence-as-a-Service (AIaaS) framework. Current work by the DMML team includes partnering with SixSq in order to develop an AI solution that runs on edge devices such as a Raspberry Pi 4, providing traffic volume information monitoring, to be used for adaptive smart lighting in Smart Cities.
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Tagged medina, mobilenetv2, region proposal
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