Applications

Focus: Real-world impact

One of our focus is to deploy novel and scalable AI systems for real-world impact in order to rigorously understand last-mile challenges in novel systems design. Application deployment is based upon our research in novel data systems and is guided by three principles:

  1. Novel system designs that can thrive with domain expertise
  2. Iterative feedback loop with real-world use cases
  3. Human well-being and privacy focused design

Komorebi: Ecosystem monitoring at scale

Collaborators: ETH (Crowther Lab, IRIS), MIT, WWF, Stanford
Project Website: external pageclimateai.org

Our planet and humanity is facing an unprecedented climate crisis. We need to act now.

Land-Use and Land-Use Change (LULUC) such as Deforestation and Agriculture is responsible for 25% of global emissions. DS3Lab's Climate+AI Initiative aims to empower frontline communities by pushing the limits of current land-use monitoring and providing accessible technology for everyone.

News

ETH News, external pageSwiss Tagblatt


Kara: Privacy-preserving medical data markets 

Collaborators: Oasis Labs, UC Berkeley, Stanford Medical School
Project Website: external pagekara.cloud

Kara is a privacy-preserving tokenized data cloud for medical data. Medical data is currently locked in data silos due to regulations and policies.

Kara leverages a distributed ledger and smart contracts to transparently log all transactions on your data. Smart contracts are self-enforcing and make sure that data consumers play by your rules. Kara uses trusted hardware to guarantee integrity and confidentiality for your data. Differential privacy is applied on the application level to prevent data leakage.
We build a privacy-first data cloud on smart contracts, trusted hardware and diffential privacy.

News

external pageWIRED, external pageThe New York Times, external pageMIT Technology Review and ETH News


Piximi: Democratizing ML for cell biology 

Collaborators: Broad Institute, FIMM
Project Website: external pagepiximi.gitbook.io

DS3Lab, together with Broad Institute of MIT and Harvard and FIMM Helsinki is pioneering a new next-generation deep learning classifier for cell biology. By democratizing machine learning via browser-based execution, we hope to allow scientist to use machine learning in a more efficient and easier-to-use way.

News

external pageThe Scientist

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