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Intelligence and Inherent Limitations

Intelligence and Inherent Limitations

It is well-known and established that current strides in artificial intelligence can be summarized as narrow or domain-specific.
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The Black Box “Problem”

The Black Box “Problem”

I am a bit tired of the term “black-box” when referring to deep learning-based networks. It has become a way for people to pre-judge and…
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Start Small, Then Build Up

Start Small, Then Build Up

We have this saying in Texas that goes like:
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TBP #11: Deep Learning in Genetics Review

TBP #11: Deep Learning in Genetics Review

Machine and deep learning have opened the door to better performance on a wide breadth of genomics related tasks. This review from Nature…
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A Question For the AI Optimists

A Question For the AI Optimists

I have become somewhat obsessed with the ideas that are being studied in data science and machine learning — and the greater concepts…
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TBP #10: Gene Expression Data Used Graphically

TBP #10: Gene Expression Data Used Graphically

Biological systems are extremely complex, and researchers and scientists are barely scratching the surface when it comes to developing…
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TBP #9: Finding Important Features in Gene Expression Data

TBP #9: Finding Important Features in Gene Expression Data

The curse of high dimensionality is ever-present in the big data community. It is essentially the idea that we have too many features and…
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Latest
What are the main issues facing American healthcare in 2020?

What are the main issues facing American healthcare in 2020?

And how to be a conscious voter in these issues.
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Ted Bebi
TBP #8: Automatic Annotation of sRNAs with ML

TBP #8: Automatic Annotation of sRNAs with ML

Metadata annotation for genetic information is an important part of understanding the population specifics of a set of samples. Whether the…
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Machine Learning Mastery

Machine Learning Mastery

Can you feel it?
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