Category: internetofthings
WaSTeLeSS – using AI and IoT to track every drop of water
Water is a valuable commodity: Dr. Michael Burry, who predicted (and profited from) the sub-prime crisis, famously turned his attention to investing in water thereafter. By 2050 the United Nations World Water Development Report predicts that nearly 6 billion people will suffer from clean water scarcity. In an effort to minimize the waste of water, (…)
Flavio Ponzina presents paper on edge AI acceleration at Embedded Systems Week
Dr Flavio Ponzina, who recently defended his PhD thesis on Hardware-Software co-design Methodologies for Edge AI Optimization, presented a paper entitled “Overflow-free compute memories for edge AI acceleration” at Embedded Systems Week, which took place in Hamburg. The video of his presentation is below:
New framework for Epilepsy Benchmarks presented at MHDTE
Yesterday we presented our work on a unified framework for the validation of epileptic seizure detection algorithms at MHDTE. This should finally give us the tools to build a benchmark of the best algorithms. Check it out on https://eslweb.epfl.ch/epilepsybenchmarks/
ACM Fellow Prof. Atienza: Shaping Sustainable Computing & Edge AI
David Atienza, director of the EPFL EcoCloud Center, was interviewed by the organisation Association for Computer Machinery (ACM) on the occasion of a presentation that he gave as a Distinguished Speaker and Fellow. Here is a summary of that conversation. While a core focus of your research has been embedded systems, you have branched out (…)
A Wearable System for Real-Time Detection of Epileptic Seizures
The EPFL Technology Transfer Office has released the following information about e-Glass, a groundbreaking device for epileptic seizure detection, which is open for license. Read more about our work on epilepsy monitoring Despite recent advances in anti-epileptic drugs, one-third of the people with epilepsy continuous to experience seizures. e-Glass is a new wearable system for (…)
Talk on monitoring and managing data centers with IoT
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
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 (…)
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 (…)