Talk on monitoring and managing data centers with IoT

internetofthings, presentationvideo, research, servers

Prof. David Atienza gave a talk at the Intelligent Maintenance Conference which was held at EPFL in September. Prof. David Atienza examined the inefficient monitoring and management of data centers, and how they can impact both energy costs for the sustainability of our planet and the reliability of data center services. In this talk he (…)

x-heep – designing healthcare devices of the future

biomedical, health, internetofthings, research

The advancement of continuous healthcare monitoring depends on the development of new and more efficient ultra-low power wearable platforms as well as new algorithms. However, the teams that develop the algorithms are usually not the same as those that design the platforms, thus, optimization opportunities are often lost in the way. Not less importantly, the (…)

ESL Open Days

research

We had a stand at the Open Days, in the Electricity building. It was a great success: thanks to all involved.

epiPhone – discretely monitoring brain activity

health, internetofthings, presentationvideo, research, wearable

We are proud to present epiPhone, a discreet headset which can monitor brain activity and transmit the data in real time. Today, epilepsy is one of the most common chronic diseases affecting more than 65 million people worldwide. However, no reliable wearable device currently exists for real-time epileptic seizure detection. One of the main challenges (…)

Sensemodi and Nespresso challenge presented at Engineering Industry Day

biomedical, health, internetofthings, research, wearable

Jérôme Thevenot, Matteo Feo and David Atienza participated in the EPFL Engineering Industry Day at the SwissTech on Thursday, 8th March. Jérôme presented ESL spin-off Sensemodi, featuring an in-motion, knee diagnosis platform. David and Matteo presented the Nespresso challenge, where ESL addressed the need to use Machine Learning enabled Artificial Intelligence to identify coffee capsules (…)

Pengbo Yu and Marco Rios win Teaching Assistant Award

achievements

Congratulations to doctoral assistants Pengbo Yu and Marco Rios, who have won the School of Engineering’s Teaching Assistant Award. This award is an initiative of the School of Engineering of EPFL to reward exceptional involvement of PhD students in the lectures given in the Bachelor and Master cycles of the four sections of the School. (…)

David Atienza elected ACM Fellow

achievements, research

Prof. David Atienza has been elected as a Fellow of the Association for Computing Machinery (ACM) in recognition of: “the design of high-performance integrated systems and ultra-low power edge circuits and architectures.” The full list of recipients can be found here. New York, NY, January 18, 2023 — ACM, the Association for Computing Machinery, has (…)

Containergy: a new tool for next generation workload management

research, servers

ESL is proud to present Containergy, a new performance evaluation and profiling tool that uses software containers to perform application runtime assessment, providing energy and performance profiling data. It is focused on energy efficiency for next generation workloads and IT infrastructure. Read more here

ESL researcher rewarded for gender-based violence prevention technology

achievements, internetofthings, research, wearable

The Spanish Government Office against Gender-based violence has awarded the First Prize, for a PhD thesis that promotes technology protecting women against violence, to José Ángel Miranda Calero, for his research at the Universidad Carlos III de Madrid. Dr Miranda Calero, who joined ESL as a post-doctoral assistant in 2022, pioneered a multimodal fear recognition (…)

HDTorch: an accelerator for HyperDimensional Computing

memory, research, servers

HyperDimensional computing is increasingly used for machine learning applications. Computing with HD vectors, referred to as “hypervectors,” offers a general and scalable model of computing as well as a well-defined set of arithmetic operations that can enable fast and one-shot learning (no need of back-propagation like in neural networks). HDTorch is a PyTorch-based hyperdimensional (HD) (…)