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EPFL & ETH Zurich | The federal institutes of technology and the FSO join forces in data science and artificial intelligence for the public good
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April 30, 2021
Dense representation learning
Dense representation learning
Can we extend the concept of word embeddings to any collection of items, possibly unordered? More precisely, can we learn representations from item sets, such as the product baskets in online retail or music playlists on streaming platforms?
Blog
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July 27, 2020
RFJ | An app to help research on multiple sclerosis
RFJ | An app to help research on multiple sclerosis
Articles about the SDSC
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October 28, 2021
DEAPSnow | Supporting avalanche forecasting in the Swiss Alps using machine learning
DEAPSnow | Supporting avalanche forecasting in the Swiss Alps using machine learning
The creation of avalanche bulletins is still a largely expert-driven and manual task. DEAPSnow aims to explore the feasibility of using data-driven models to support the process of avalanche danger forecast.
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April 17, 2020
The Swiss Data Custodian | Part 2: how to enhance both data sharing and data privacy
The Swiss Data Custodian | Part 2: how to enhance both data sharing and data privacy
Our digital self is becoming an important part of ourselves and a very descriptive representation of our physical body and mind. It is thus very important that we protect it.
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February 6, 2024
PassGPT | Using language models to enhance password security
PassGPT | Using language models to enhance password security
PassGPT is a Large Language Model for password generation trained on leaked passwords, which can outperform existing methods based on generative adversarial networks by guessing twice as many unseen passwords.
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June 23, 2024
EPFL Dimensions | Interview of Dr. Silvia Quarteroni on the risks and opportunities associated with Generative AI
EPFL Dimensions | Interview of Dr. Silvia Quarteroni on the risks and opportunities associated with Generative AI
Dr. Silvia Quarteroni, Chief Transformation Officer and Head of Innovation at the Swiss Data Science Center, provides insights on how AI-driven technology will become part of our daily lives.
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