Machine Learning


How to Operationalize Transformer Models on the Edge

Sometimes the hardest part of building ML solutions is deployment. In this session, we will look at different model deployment architectures, how to deploy with edge devices and inference in different programming languages. By the end of the demo-heavy session, you will see how to optimize large...

Cassie Breviu Senior Program Manager @Microsoft
Open Machine Learning

In this talk, Omar will talk about trends in the ML ecosystem for Open Science and Open Source. Omar will talk about the power of creating interactive demos using Open Source libraries, BigScience, a one-year long research workshop involving over 700 researchers, and other community-led efforts...

Omar Sanseviero Machine Learning Engineer @huggingface
The Next Decade of Software Is About Climate - What Is the Role of ML?

Climate action has risen to the top of many technology companies' agenda. But how does one get started? Green software engineering is an emerging discipline and being a part of the climate change solution is a relatively new part of many software companies' strategy. With accuracy hungry...

Sara Bergman Software Engineer at the Green Software Foundation
Operationalizing Responsible AI in Practice

Enabling responsible development of artificial intelligent technologies is one of the major challenges we face as the field moves from research to practice. Researchers and practitioners from different disciplines have highlighted the ethical and legal challenges posed by the use of machine...

Mehrnoosh Sameki Senior Technical Program Manager & Tech Lead @Microsoft
A Chat with the Experts

Join Cassie Breviu as your host for a discussion about ML and get all your questions answered from the amazing speakers in the Innovations in ML track!

Omar Sanseviero Machine Learning Engineer @huggingface
Mehrnoosh Sameki Senior Technical Program Manager & Tech Lead @Microsoft
Sara Bergman Software Engineer at the Green Software Foundation


Omar Sanseviero Machine Learning Engineer @huggingface

Open Machine Learning

Omar, what is the focus of your work these days?

I am a machine learning engineer at the Hugging Face, a fully open source company that is democratizing good machine learning. My concrete work is focusing on integrating different open source libraries with the Hub, an open, free platform that allows anyone to share and access machine learning models.

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