Category: internetofthings

David Atienza takes part in panel discussion at IFIP60

internetofthings, research, servers

To celebrate its 60th Anniversary, the International Federation for Information Processing (IFIP) is joined with its Member Societies, Technical Committees, Working Groups and Partner organisations to stage a series of events around the world. Prof. David Atienza took part in a panel discuission about Trends on Computing Systems, which was organised and moderated by Graziano (…)

ESL collaborates with IMD to teach course on IoT technologies

internetofthings

The Embedded Systems Lab is collaborating with IMD (The Institute for Management Development) of Lausanne to create an online course about technology and the Internet of Things. This MOOC (Massive open online course) will be taught by David Atienza, Prof. Amir Aminifar of Lund University, formerly a Senior Lecturer at ESL, and Prof. Bettina Buechel (…)

A flexible in-memory computing architecture for heterogeneously quantized CNNs

internetofthings, presentationvideo, research, wearable

Droople: cutting edge solutions for water-energy conservation

internetofthings, research

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

biomedical, health, internetofthings, presentationvideo, research, wearable

Farnaz Forooghifar presents our research on self-aware anomaly detection for epilepsy monitoring on low-power, wearable electrocardiographic devices.

Thermosyphon – a true Innovation

achievements, internetofthings, research, thermalaware, thermalsoc

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

biomedical, health, internetofthings, research

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

internetofthings, research

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

internetofthings, research

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

biomedical, health, internetofthings, research

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 (…)