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Protein Annotation at Google

Mar 16, 2022
27:48
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1
Introduction
00:00 • 2min
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2
How Did You Get Into Machine Learning?
01:37 • 2min
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3
Machine Learning Research - Where Does Private Industry Come From?
03:31 • 3min
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4
Do You Want the Leads on Alpa Fold?
06:11 • 2min
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5
Do You Have a Convolutional Neural Network Architecture for Biwind Phomatics?
07:53 • 2min
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6
Using Multiple Sequence Allignment to Classify Subsequences
09:56 • 2min
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7
Can You Predict the Function of Natural Proteins?
11:56 • 2min
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8
Is There a Methodology for Annotation in the Past?
14:16 • 3min
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9
Is It All Automated?
17:08 • 2min
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10
How Long Would It Take to Complete the Annotation of the Whole Data Base?
19:06 • 3min
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11
Alpafold
22:15 • 2min
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12
Is There a Future in Machine Learning?
24:17 • 3min
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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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