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, (…)

Heating Bits – an EPFL collaboration

memory, research, servers, thermalaware

Five labs are collaborating on Heating Bits, an initiative to get ultimate levels of control over our data centers. Prof. Mario Paolone spoke to EcoCloud in detail about this exciting initiative.

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 (…)

Research assistant needed – Android development

jobs

Laboratory: Embedded Systems Laboratory – STI Role: research assistant – android development Start time : September 2023 Work time: 15h/week – 4 months Salary: CHF ~1’450.– net per month (on the basis of 65 hours per month at CHF 25.- gross per hour) Requirement: Enrolled EPFL student                                                          The Embedded Systems Laboratory is looking for an (…)

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 (…)

David Atienza interviewed on the future of data centers

research, servers

Prof.  David Atienza explained to HiPEAC why sustainable computing represents much more than just energy efficiency, and argues that a much more targeted use of computing is the way forward: We need to dramatically change the way we build and use computers

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 (…)