The Cloud Sustainability Days, organised by the EPFL EcoCloud Center, are beginning. LINK TO LIVE COVERAGE PROGRAM Please use the basement entrance: This conference is organised by the EPFL EcoCloud Center for sustainable cloud technologies, with the participation of...
Researchers at Ecocloud, the EPFL Center for Sustainable Cloud Computing, have pioneered an innovative approach to implementing virtual memory in data centers, which will greatly increase server efficiency. Virtual Memory has always been a pillar for memory isolation,...
Simla Burcu Harma, a researcher on the ColTrain project, has received the Generation Google Scholarship for Women in Computer Science. @SimlaBurcu
DNN training and inference have similar basic operators but with fundamentally different requirements. The former is throughput bound and relies on high precision floating-point arithmetic for convergence while the latter is latency-bound and tolerant to low-precision arithmetic. Both workloads require high computational capabilities and can benefit from hardware accelerators. The disparity in resource requirements forces datacenter operators to choose between custom accelerators for training and inference or training accelerators for inference.
In their paper, the researchers introduce a nanowire-based device to create high-electron-mobility tri-gate transistors for power-conversion applications. Based on nanoscale structures, the novel transistor design significantly reduces heat loss during the energy conversion process.
Contrary to expectations, the experiment revealed that the respondents held on to their views firmly, regardless of the celebrity inputs or their esteem in the eyes of the respondents. It was also clear that respondents liked to hear an opinion identical to their own even if it came from a disliked celebrity. Conversely, a dissenting opinion by a celebrity or expert reduced the respondent’s empathy for that person.
Two EPFL students have developed PowerSGD, an algorithm that allows compression of the needed bandwidth without compromising the accuracy of the training.
CrowdNotifier, a new protocol developed in part at EPFL. It alerts people who attended an event where there was a risk of COVID-19 infection.
Researchers from EPFL and INRIA have developed the first online FL system called FLeet, which makes it possible to carry out machine learning on mobile devices in real-time without any impact on learning tasks.
The study, which has won the “Prize for the research and Personal Data Protection Emilio Aced” given by the Spanish data protection agency (AEPD), raises a potent question: Does the use of parental control apps justify the dangers arising from the collection and processing of private data?
An international group of scientists has collaborated to present a photonic hardware accelerator that is capable of operating at speeds of “trillions of multiply-accumulate operations per second,” far beyond the capabilities of existing computer processors.
As the applications of AI increase rapidly, the scientific community, as well as lawmakers, are concerned that unregulated AI can lead to misuse and abuse.
In this context, the European Commission took a clear stance by releasing a white paper in February 2020, which could lead to a regulatory framework for AI.
Distributed computing is already playing a pivotal role in a wide range of applications including web-based communications and intelligent information systems. In keeping with this development, EcoCloud presented a research project award to Rafael Pinot for his ongoing work on controlling the spread of fake news or infectious diseases based on the theory of gossip protocols.
Managing humanitarian aid is one of the most important problems in the modern world. It is also a very powerful and direct approach to make a lasting global impact. Keeping that in context, experts at ETH Zurich and EPFL–two of Switzerland’s leading federal institutes of technology–have joined hands with the International Committee of the Red Cross (ICRC) to launch the Engineering Humanitarian Aid initiative.
Digipredict detects the first signs of a ‘cytokine storm’ in high-risk COVID-19 patients, thus allowing doctors to act before it causes serious damage to the cardiovascular systems. Cytokines are proteins that play an important role in normal immune responses, but having a large amount of them released in the body all at once can be harmful.
The Board of the Swiss Federal Institutes of Technology has announced the appointment of Pascal Frossard as Full Professor of Electrical Engineering and Electronics in the School of Engineering (STI). Currently Associate Professor at EPFL, he joined the EcoCloud faculty in 2018 to help the research centre drives its cloud computing programs.
About a year ago, when the novel coronavirus broke out, medical science not only failed to arrest its spread but also to properly identify the developmental stages of the disease. Many casualties resulted because the progression of the disease was an enigma. In the later part of the year, there were nascent attempts to harness AI for COVID-19 diagnosis, treatment, and monitoring. A giant step in that direction has been taken recently by researchers at EPFL; they have developed algorithms that can practically see and hear COVID in a patient’s lungs.
At least three EPFL laboratories are working in tandem on the project: Computer Vision Laboratory led by Professor Pascal Fua, Realistic Graphics Lab led by Assistant Professor Wenzel Jakob, and Embedded Systems Lab spearheaded by Professor David Atienza (also a faculty member at EcoCloud).
EcoCloud is happy to announce that Anne-Marie Kermarrec, Professor in the School of Computer and Communication Sciences at EPFL, has now come aboard the EcoCloud faculty.
Each year, a student of the Microengineering Section of EPFL is awarded the prestigious OMEGA Student Award for contributing to scientific and technological advances in the disciplines of Microengineering, Micro- and Nanotechnologies, and Chronometry. This year, the Board of the Foundation of the OMEGA Prize decided to honor Mohammed Hédi Fendri, a master student at the Institute of Microengineering in EPFL’s School of Engineering.
The ICCAD Executive Committee has recognized “3D-ICE: Fast Compact Transient Thermal Modeling for 3D ICs with Inter-Tier Liquid Cooling” as “the most influential on research and industrial practice in computer-aided design of integrated circuits over the ten years since its original appearance at ICCAD.” The authors of the paper are Arvind Sridhar, Alessandro Vincenzi, Martino Ruggiero, David Atienza (all from the Embedded Systems Laboratory – ESL at EPFL), and Thomas Brunschwiler (IBM Zurich Research Laboratory).
Celebrating the Woman Researcher: Anastasia Ailamaki Receives VLDB Women in Database Research Award 2020
In a major recognition of Swiss innovation and excellence in database research, the VLDB Endowment has conferred the prestigious VLDB Women in Database Research Award on Anastasia Ailamaki, EPFL professor and co-founder of Raw Labs.
Digital technology is running up against its physical limits. One solution is to build more data centers – but that needs to go hand in hand with a reduction in their carbon footprint.
Her inclusion in Fortune’s 40 Under 40 provides Troncoso a platform to showcase the work done by the SPRING lab in alleviating the negative impact of technology on society, such as privacy concerns, and presenting purely system-based solutions rather than data-driven platforms.
Researchers at EPFL’s Laboratory of Photonics and Quantum Measurements (K-Lab), Trinity College Dublin (TCD), and Dublin City University (DCU) have teamed up to develop a new technique for generating variable low-noise microwaves with a single optical microresonator. The paper was recently published in Science Advances.
Given the fast pace of research, very few scientific studies stand the test of time. Even rarer is a study that continues to influence research a decade after its first publication. That distinction goes to “3D-ICE: Fast Compact Transient Thermal Modeling for 3D ICs with Inter-Tier Liquid Cooling,” a paper presented at the IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2010 Conference. It has been selected as the winner of the prestigious ICCAD 2020 – Ten Year Retrospective Most Influential Paper Award , which is one the most prestigious given in the Electronic Design Automation (EDA) community about industrial and academic relevance of a technical paper.
One of the key researches in the domain of quantitative information flow (QIF) is to effectively estimate information leaks in a system in order to prevent adversarial attacks. Most existing approaches are based on the white-box approach. However, this approach is often impractical due to the size or complexity of its internals, or the presence of unknown factors. This and other challenges forced a shift in focus to investigate methods for measuring a system’s leakage in a black-box manner.
While scientists have successfully reduced the size and costs of electronic components, a major challenge faced by such tiny devices is the absence of an optimum thermal and energy management technology. To bridge that gap, Elison Matioli and his colleagues at EPFL’s Power and Wide-band-gap Electronics Research Laboratory (POWERlab) have developed a novel microchannel network that not only cools electronic components but also makes them energy efficient.
Facebook and EPFL have initiated a collaborative program that aims to carry out seminal research with common meeting points for both organizations. Facebook seeks to leverage EPFL’s proven expertise in Computer Science and Engineering to enable the flow of technology from one of the most renowned research institutions to the leading American social media conglomerate. The collaboration will also help the latter strengthen its position in Switzerland and gain access to some of the best academic minds in Europe.
EPFL researchers at the Security and Privacy Engineering (SPRING) Lab, School of Computer and Communication Sciences (IC), have developed a ‘Datashare Network’ that allows investigative journalists to exchange information securely and anonymously. A detailed paper on the subject will be presented by the scientists at the 29th Usenix Security Symposium (USENIX Security ’20), which will be held online from August 12 to 14. The event, which brings together specialists in the security and privacy of computer systems and networks, will undoubtedly draw worldwide attention to the EPFL research.