Martin Jaggi on RTS

Swiss Radio and TV Station RTS 1 Hosts Martin Jaggi

Martin Jaggi was invited by the Swiss Radio and TV Station RTS 1 to discuss artificial intelligence algorithms and biases. The program in French can be found...
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image: SwissTech Convention Center in Lausanne

David Atienza Chairs a Successful DATE 2017 Conference

David Atienza chaired a very successful 20th edition of the Design Automation and Test in Europe (DATE) Conference at the SwissTech Convention Center in Lausanne from March 27th to 31st, 2017. The Conference, which was held in Lausanne for the first time from its...
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image: Martin Jaggi Wins 2016 Google Faculty Research Award

Martin Jaggi Wins 2016 Google Faculty Research Award

Martin Jaggi is a recipient of the prestigious 2016 Google Faculty Research Award for his proposal on “A Computational View on Sentence Embedding”. Martin and his team will attempt “to improve the quality, the computational performance and the theoretical...
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Attendees of the 2017 Swiss Joint Research Center Workshop in Cambridge, UK

Ten Swiss Joint Research Center Projects Launch at Workshop

Researchers from EPFL, ETH Zurich and Microsoft Research – all partners of the Swiss Joint Research Center (Swiss JRC) – assembled for a workshop at the UK-based Microsoft Research Cambridge Lab in February. During the workshop, the researchers presented the 10...
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Analytics & Applications

We are investigating new stochastic theories and analytics including statistical learning techniques, machine training and inference systems and their applications to IoT, social media and big data platforms.

Cloud Data Management

We are investigating technologies to maximize efficiency with in-memory data services, in-situ query processing on streamed data, and on-demand query engine customization using multi-objective compiler optimization.

Sustainable Data Centers

We are investigating a three-pronged approach to holistic data platforms and datacenter efficiency: vertical integration to minimize data-movement; specialization to optimize work per service; and approximation to tailor work for output quality.

Trustworthy Platforms & Systems

We are investigating technologies spanning from decentralized trust and cryptography to robustness and resiliency of natural processes to strengthen security, privacy and trust in data platforms and systems.


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