Google AI has announced the list of winners for its Faculty Research Awards (2018), and among them is Professor Volkan Cevher from the LIONS’ lab at EPFL. He has earned the distinction under the category ‘Machine learning and data mining.” He is one of only two winners from Europe in that category.

In 2009, EPFL professors Anastasia Ailamaki and Babak Falsafi collaborated with their doctoral and postdoctoral students to present Shore-MT, a scalable storage manager for the multicore era. A decade later, Shore-MT continues to be a robust open-source database storage manager preferred by many users worldwide. In recognition of its continued relevance and usage, the original research paper has been honored with the 2019 EDBT Test-of-Time Award.

The impact of scientific research findings remains limited unless they are disseminated among the research community as a whole. However, sharing research openly is not easy because of many cultural and technological barriers. In a bid to remove those impediments in the way of open research, EPFL President Martin Vetterli launched the Open Science Fund in September 2018.

In a paper published earlier this month, a team of researchers from EPFL and IBM Research introduce the port-induced side channel called SMoTher. They show how it can be leveraged (instead of a cache-based side channel), as a powerful transient execution attack to leak secrets that may be held in registers or the closely-coupled L1 cache, called SMoTherSpectre.

The winners for 2018 have just been announced, and among them is Carmela Troncoso, tenure-track assistant professor in the EPFL School of Computer and Communication Sciences (IC).

Siddharth Gupta is pursuing his doctoral program at the School of Computer and Communication Sciences (IC) under the supervision of Professor Babak Falsafi, founding director of the EcoCloud research center. Siddharth’s special area of interest is on systems and interdisciplinary systems problems in modern, large-scale datacenters. His current research focuses on providing architectural support for high-performance durable transactions with persistent memory. The award-winning paper stems from that focal area of his research engagement.

Data centers are taking on huge workloads including Deep Neural Networks, data analytics, and video streaming. Even the most robust CPU- and GPU-based architectures are unable to handle today’s demanding computing environment. Therefore, the current trend is to turn to new forms of accelerators called Field Programmable Gate Arrays (FPGAs), which demonstrate superior energy performance. Commercial behemoths like Intel, Amazon, and Microsoft have added FPGAs in their data centers through takeovers and system implementations. However, are FPGAs safe from security attacks? If not, how can such attacks be tackled? A fresh research proposal by EPFL’s Mirjana Stojilovic seeks to address these and related concerns regarding FPGAs.

The collaborative engagement between Microsoft and EPFL goes back to 2008 when they came together, along with ETH Zurich, for the Microsoft Innovation Cluster for Embedded Software (ICES). That relationship has matured through the years with various phases of the Swiss Joint Research Center (JRC) projects. In the first two phases (2014-18), Swiss JRC supported 9 EPFL projects. After reviewing and ranking 29 proposals for phase III, including 13 from EPFL, JRC has now confirmed nine proposals. Three of them are from EPFL, including two projects submitted by EcoCloud faculty.

For four days (January 26-29), some of the best minds on Machine Learning and Artificial Intelligence congregated for the Applied Machine Learning Days (AMLD) conference at the SwissTech Convention Center at EPFL, Lausanne. With EPFL being the principal organizer of the event, professors Marcel Salathé, Martin Jaggi, and Bob West played a stellar role in the conduct of the event. AMLD2019 included talks, tutorials, and workshops, but it will be best remembered for introducing 16 different “AI & your domain” tracks, which featured talks by domain experts and interesting panels.

The 32nd Annual Conference on Neural Information Processing Systems (NeurIPS 2018) was held in Montreal between December 2 and 8. The proceedings brought together 8000 attendees and 1011 papers. It also included posters and workshops covering an array of algorithms, theories, experiments, and ideas presented by the crème de la crème of researchers on machine learning. Sieving through this massive database, the insightful platform Medium has shortlisted its influential list of papers and poster presentations. In the latter list is “Training DNNs with Hybrid Block Floating Point,” which was presented by EPFL researchers Mario Drumond, Tao Lin, Martin Jaggi, and Babak Falsafi.