Scientists Develop 10X Faster Machine Learning Algorithm

Training of large-scale machine-learning models is extremely challenging because the training data is much more than the memory capacity. However, scientists at IBM and EPFL have collaborated to develop a novel scheme that enables the use of accelerators such as GPUs...
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dynamic-safe-interruptibility-a-breakthrough-in-ai

Dynamic Safe Interruptibility: A Breakthrough in AI

Machine learning and artificial intelligence (AI) are finding new applications across industries. Many tasks that were performed by humans are now being handled by machines, adding efficiency to the output. But what would happen if AI crosses the threshold of human...
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Anastasia Ailamaki Elevated to IEEE Fellow

Anastasia Ailamaki, Professor and Lab Director at the Data-Intensive Applications and Systems Laboratory (School of Computer and Communication Sciences), has just added another feather to the cap of EPFL’s research excellence. IEEE has included her as IEEE Fellow in...
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Research

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.

Sponsors

 
AXA-Tech
Credit Suisse
Eaton
EPFL
Google
Hewlett Packard
Huawei
IBM
Intel
Microsoft
Oracle
Swisscom