Since its establishment in 2016, the EPFL International Risk Governance Center (IRGC) has not only drawn attention to increasingly complex risks that affect society, but also developed mitigation strategies for perceived risks. Given its fundamental role in the risk governance framework at EPFL, the appointment of James Larus, Dean of the School of Computer and Communication Sciences, assumes great significance.

Academia and industry leaders have come together to form the Swiss Datacenter Efficiency Association (SDEA) and announce the first datacenter efficiency label that aims to decarbonize datacenters and significantly reduce energy consumption on data platforms and infrastructures. It has École Polytechnique Fédérale de Lausanne (EPFL) as one of its founding members.

The much anticipated list of Highly Cited Researchers for 2019 is out. Published annually by the Web of Science Group, a Clarivate Analytics company, the list, generally known as the Thomson Reuters list of Highly Cited Researchers, includes scientists who produced multiple papers ranking in the top 1% by citations for their field and year of publication. Among them is Tobias Kippenberg, Full Professor at EPFL’s Institute of Physics and Electrical Engineering and head of the Laboratory of Photonics and Quantum Measurements (K-Lab).

EcoCloud welcomes Tobias J. Kippenberg, professor at EPFL’s Laboratory of Photonics and Quantum Measurements (K-Lab), among its faculty.

The findings of the research project–including prototypes, benchmarks, and code—will be available as open source releases. That would enable the research community to build on the findings and further improve them over time. Conversely, the end users or developers can access the documentation, reports, and prototypes produced during the research to protect their code.

The research team plans to extend the precision of their weight generator circuit to support DNN applications that require weight precision higher than 4 bits. They are also exploring different types of digital-to-analog converter types for their weight generator circuit. Although the proposed circuit is applicable to any type of neural network, the EPFL researchers aim to benchmark their design with a recurrent neural network (RNN) workload and achieve a significant improvement in performance and energy-efficiency.

An eleven-member jury formed by Swiss business magazine Bilanz has announced the 100 most important heads of Switzerland who are at the forefront of digitization this year. The list of achievers has been sorted into various categories such as investors, blockchainers, scalers, transformers, administrators, drone acrobats, mentors, and data miners. Among the blockchainers is Professor Bryan Ford, who heads the Decentralized and Distributed Systems Lab (DEDIS) at EPFL’s School of Computer and Communication Sciences.

The European Research Council (ERC) has awarded a Starting Grant for the open-source research proposal “Code Sanitization for Vulnerability Pruning and Exploitation Mitigation.” The Principal Investigator of the research is Professor Mathias Payer, IC tenure-track assistant professor and head of the HexHive lab on software systems security at EPFL.

After extensive research, Professor Rachid Guerraoui and colleagues at EPFL’s School of Computer and Communication Sciences (IC) have proposed a nearly zero-energy alternative to the bitcoin. The system, dubbed Byzantine Reliable Broadcast, represents a paradigm shift in the approach toward cryptocurrencies.

Today, we have a slew of media houses and streaming services that inundate consumers with audio, video, online, and print news. This has raised the specter of rampant news misinformation and disinformation. The threat is amplified by broadcasters who use the same source to disseminate news to consumers. Any bias in the original news source is perpetrated by all secondary services, thus delivering a limited view of news to consumers. However, researchers at EPFL’s Distributed Information Systems Laboratory (LSIR) in the School of Computer and Communication Sciences have developed an algorithm that can detect such biases and external influences in the news industry.