Category: internetofthings

Digipredict: what is a digital twin?

biomedical, carouselvideo, health, internetofthings, presentationvideo, research, wearable

X-HEEP community is growing fast: X-Agora at EPFL

achievements, internetofthings, memory, research, wearable

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 (…)

WaSTeLeSS – using AI and IoT to track every drop of water

carouselvideo, internetofthings, research

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

achievements, internetofthings, memory, presentationvideo, research, servers

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

achievements, biomedical, health, internetofthings, research

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

achievements, internetofthings, research, thermalaware, thermalsoc

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

biomedical, health, internetofthings, research

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

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 (…)

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 (…)