Category: wearable
Giovanni Ansaloni: how do you squeeze AI into power-constrained edge devices?
Dr. Giovanni Ansaloni presented a deep dive into methodologies for algorithms optimization at ACACES24 – Signal compression with inputs sparsity and self similarity– Lightweight feature extraction and classification– EdgeML model optimization: few-shot learning personalization distillation federated learning
Landmark award for EcoCloud’s directors, old and new
Prof. Giovanni De Micheli, head of the Integrated Systems Laboratory (LSI), has taken over the scientific direction of the EPFL EcoCloud Center from Prof. David Atienza, head of the Embedded Systems Laboratory (ESL). Prof. De Micheli previously founded and directed the EPFL Integrated Systems Center (SI), and was co-founder and Program Leader of the Nano-Tera.ch (…)
Exploring open hardware/software at the cutting Edge with HiPEAC
ACACES is an annual summer school organised by the HiPEAC project (High Performance Embedded Architecture and Compilation). Giovanni Ansaloni has given a four day series of lectures at the 2024 iteration of this prestigious event Maintaining rapid growth in computing performance is key for tackling the societal challenges shaping Europe and assuring our global competitiveness (…)
The second X-Agora is a great success
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HEEPocrates featured in EUROPRACTICE report
An article on the HEEPocrates chip has been published in the EUROPRACTICE Activity Report 2023. EUROPRACTICE was launched by the European Commission in 1995 as a successor of EUROCHIP (1989-1995) to enhance European industrial competitiveness in the global market. A detailed breakdown of the chip and its component processes and features is presented in the (…)
Digipredict: what is a digital twin?
X-HEEP community is growing fast: X-Agora at EPFL
The Internet of Things is expanding at an incredible rate, and consequently demands for ever smaller intelligent hardware are constantly increasing. The Embedded Systems Lab has collaborated with other EPFL teams and EcoCloud to design X-HEEP: a RISC-V chip which is aimed at tiny platforms with big jobs to do. The X-HEEP platform is open (…)
epiPhone – discretely monitoring brain activity
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
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 (…)
ESL researcher rewarded for gender-based violence prevention technology
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 (…)