University of Cambridge > Talks.cam > Artificial Intelligence Research Group Talks (Computer Laboratory) > Machine Learning Systems Design

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹ️ Information

Machine Learning Systems Design

Download to your calendar using vCal

If you have a question about this talk, please contact Mateja Jamnik .

Notice new room!

Machine learning solutions, in particular those based on deep learning methods, form an underpinning of the current revolution in “artificial intelligence” that has dominated popular press headlines and is having a significant influence on the wider tech agenda. In this talk I will give an overview of where we are now with machine learning solutions, and what challenges we face both in the near and far future. These include practical application of existing algorithms in the face of the need to explain decision-making, mechanisms for improving the quality and availability of data, dealing with large unstructured datasets.

This talk is part of the Artificial Intelligence Research Group Talks (Computer Laboratory) series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

The Old Divinity School, St John's College, All Saints' Passage hill park Pembroke College Talks

Other talks

Bacterial Physiology During Growth Arrest: Can It Be Targeted by Anti-Bacterial Therapeutics? CSAR lecture: In a post-Ozempic world, have we cured obesity? Disentangling preventative & ejective AGN feedback on a population basis with simulations, observations & machine learning Cooperation for Nature Machine Learning for Spectral Geometry and Vice Versa Computation of free boundary minimal surfaces via extremal Steklov eigenvalues
 

© 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity