Category: internetofthings
A flexible in-memory computing architecture for heterogeneously quantized CNNs
Droople: cutting edge solutions for water-energy conservation
In June 2021, Droople entered a partnership with the Embedded Systems Laboratory (ESL) at the School of Engineering and the ALTIS Group (Valais) to implement the joint Research and Development project WaSTeLeSS. The project is planned to run until 2023 and achieve significant water savings in buildings through an advanced monitoring system based on distributed intelligence. (…)
Full Presentation: Self-aware anomaly detection for epilepsy monitoring
Farnaz Forooghifar presents our research on self-aware anomaly detection for epilepsy monitoring on low-power, wearable electrocardiographic devices.
Thermosyphon – a true Innovation
Innovations developed by our lab have been analysed by the European Commission’s Innovation Radar (see mission statement). One of the researchers involved, Arman Iranfar, explains this ground-breaking technology. Nowadays, data centers with large rooms are filled with a huge number of servers and other IT equipment that account for around 2% of the global energy (…)
Digipredict digital twin will predict the evolution of Covid-19
Under a cross-disciplinary program spearheaded by EPFL, scientists will develop an AI-based system that can predict whether Covid-19 patients will develop severe cardiovascular complications and, in the longer term, detect the likely onset of inflammatory disease. Covid-19 comes with a range of symptoms – from a sore throat and the loss of taste to more (…)
Deep Learning Algorithms Helping to Clear Space Junk from our Skies
EPFL researchers are at the forefront of developing some of the cutting-edge technology for the European Space Agency’s first mission to remove space debris from orbit. How do you measure the pose – that is the 3D rotation and 3D translation – of a piece of space junk so that a grasping satellite can capture (…)
Federated Learning Demands More Programmable Hardware
Artificial intelligence itself has been a disruptive technology. Federated learning is an approach to AI that might end up disrupting AI itself. At the École Polytechnique Fédérale de Lausanne (EPFL), David Atienza, professor and director of Embedded Systems Laboratory, is spearheading an initiative to develop the technique, an alternative to the traditional centralized machine learning (…)
EPFL, CHUV and ETHZ receive grant for research on epilepsy seizures
Professors David Atienza and Pascal Frossard, from the School of Engineering, have been awarded a grant from the Fonds National Suisse de la Recherche Scientifique. David Atienza, from the Embedded Systems Laboratory (ESL), and Pascal Frossard, from the Signal Processing Laboratory 4 (LTS4), are part of a Sinergia project, titled: “PEDESITE: Personalized Detection of Epileptic (…)
A new app can help detect the coronavirus
EPFL researchers have developed an artificial intelligence-based system that can listen to your cough and indicate whether you have COVID-19. Coughvid coughvid@helpfulETH Article on SlashGear Development page Coughvid on Twitter With the new app developed by five researchers at EPFL’s Embedded Systems Laboratory (ESL), you can record your cough on a smartphone and find out (…)