Protein structure prediction with AlphaFold - Andrew Senior
Proteins are are large complex molecules, essential to practically all life’s processes. What a protein does largely depends on its unique 3D structure. Figuring out what shapes proteins fold into is known as the “protein folding problem”, and has stood as a grand challenge in biology for the past 50 years. The machine learning system AlphaFold has been recognised as a solution to this challenge by the organisers of the biennial Critical Assessment of protein Structure Prediction (CASP). In this talk Andrew will describe how AlphaFold works and how AlphaFold predictions are transforming molecular biology, as well as looking more broadly at how machine learning can impact science.
Andrew Senior is a research scientist in the science team at DeepMind in London where he led the AlphaFold team for the CASP13 protein structure prediction assessment. Previously he was tech lead for neural networks research in Google’s speech recognition acoustic modelling group. Before joining Google, he taught at Columbia University and worked at IBM Research on computer vision and biometrics. He received a PhD from Cambridge University for his thesis on recurrent neural networks and is a fellow of the Royal Academy of Engineering, IEEE and IET.
Subscribe to our newsletter and stay in the know:
https://www.iarai.ac.at/event-type/seminars/
___________________________________________________________________
IARAI | Institute of Advanced Research in Artificial Intelligence
www.iarai.ac.at
Видео Protein structure prediction with AlphaFold - Andrew Senior канала IARAI Research
Andrew Senior is a research scientist in the science team at DeepMind in London where he led the AlphaFold team for the CASP13 protein structure prediction assessment. Previously he was tech lead for neural networks research in Google’s speech recognition acoustic modelling group. Before joining Google, he taught at Columbia University and worked at IBM Research on computer vision and biometrics. He received a PhD from Cambridge University for his thesis on recurrent neural networks and is a fellow of the Royal Academy of Engineering, IEEE and IET.
Subscribe to our newsletter and stay in the know:
https://www.iarai.ac.at/event-type/seminars/
___________________________________________________________________
IARAI | Institute of Advanced Research in Artificial Intelligence
www.iarai.ac.at
Видео Protein structure prediction with AlphaFold - Andrew Senior канала IARAI Research
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Evaluating Machine (Human) Accuracy and Robustness on ImageNet - Ludwig SchmidtA Number Sense as an Emergent Property of the Manipulating Brain - Pietro PeronaEmbedding and Language Modeling for Effective Text Mining - Jiawei HanModern Hopfield Networks - Dr Sepp HochreiterLearned data augmentation in natural language processing - Kyunghyun ChoCDCEO 22: Session I - Invited talk by Vipin KumarCDCEO 22: Session III - Invited talk by Nebojsa JojicTowards General and Robust AI at Scale - Irina RishPerformers & Memory - fireside chat: Sepp Hochreiter, Krzysztof Choromanski & Johannes BrandstetterScience4cast Special Session - Special Prize: Francisco AndradesScience4cast Special Session - 2nd Place: Ngoc TranTraffic4cast Special Session: Part II - NeurIPS 2020Neural diffusion PDEs, differential geometry, and graph neural networks - Michael BronsteinWeather4cast 2021 Special Session - Part 2Hopfield Networks in 2021 - Fireside chat between Sepp Hochreiter and Dmitry Krotov | NeurIPS 2020Machine Learning for Location Based Services - Prof. Dr. Ioannis GiannopoulosCDCEO22: Session II - Invited talk by Nantheera AnantrasirichaiScience4cast Special Session - 3rd Place: Milad AghajohariPatenting AI: Why, What and How? - Dr. Alexander KorenbergThe Importance of Motion Perception in Visual Recognition - Roman Pflugfelder