Eye On A.I.

Protein Annotation at Google

Mar 16, 2022

27:48

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Episode notes

Do You Have a Convolutional Neural Network Architecture for Biwind Phomatics?

02:03

Is There a Methodology for Annotation in the Past?

02:51

How Long Would It Take to Complete the Annotation of the Whole Data Base?

03:09

Introduction

2min

How Did You Get Into Machine Learning?

2min

Machine Learning Research - Where Does Private Industry Come From?

3min

Do You Want the Leads on Alpa Fold?

2min

Do You Have a Convolutional Neural Network Architecture for Biwind Phomatics?

2min

Using Multiple Sequence Allignment to Classify Subsequences

2min

Can You Predict the Function of Natural Proteins?

2min

Is There a Methodology for Annotation in the Past?

3min

Is It All Automated?

2min

10.

How Long Would It Take to Complete the Annotation of the Whole Data Base?

3min

11.

Alpafold

2min

12.

Is There a Future in Machine Learning?

3min

Max Bileschi, a software engineer at Google Research, talks about his team’s application of convolutional neural networks to predict the function of amino acid sequences in a protein. Eye on AI is sponsored by Clear.ML.

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Eye On A.I.

Protein Annotation at Google

Do You Have a Convolutional Neural Network Architecture for Biwind Phomatics?

Is There a Methodology for Annotation in the Past?

How Long Would It Take to Complete the Annotation of the Whole Data Base?

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Discoverhighlights

Save anymoment

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