Posts Tagged ‘deeplearning’

(129) 4k, 60 fps San Francisco, a Trip down Market Street, April 14, 1906 – YouTube

July 10, 2020

Amazing “upscaling” of old movies by http://Neural.Love uses AI to colorize, de-noise & boost FPS. Video of SF 4 days before the 1906 earthquake illustrates this well
https://www.youtube.com/watch?v=VO_1AdYRGW8

Also:

https://www.youtube.com/channel/UCD8J_xbbBuGobmw_N5ga3MA

A watershed moment for protein structure prediction

January 20, 2020

https://www.nature.com/articles/d41586-019-03951-0

Machine mind hack: The new threat that could scupper the AI revolution | New Scientist

January 18, 2020

https://www.newscientist.com/article/mg24232270-200-machine-mind-hack-the-new-threat-that-could-scupper-the-ai-revolution/

Need to make a molecule? Ask this AI for instructions

April 7, 2018

Need to make a molecule? Ask this AI for instructions
http://www.nature.com/articles/d41586-018-03977-w #DeepLearning to do better #retrosynthesis. Perhaps other things in chemistry could be learned as well!

QT:{{”
“The tool, described in Nature on 28 March1, is not the first software to wield artificial intelligence (AI) instead of human skill and intuition. Yet chemists hail the development as a milestone, saying that it could speed up the process of drug discovery and make organic chemistry more efficient.

“What we have seen here is that this kind of artificial intelligence can capture this expert knowledge,” says Pablo Carbonell, who designs synthesis-predicting tools at the University of Manchester, UK, and was not involved in the work. He describes the effort as “a landmark paper”.”
“}}

Need to make a molecule? Ask this AI for instructions

April 1, 2018

https://www.nature.com/articles/d41586-018-03977-w

What to expect in 2018: science in the new year

January 13, 2018

What to expect in ’18: science in the new year
https://www.Nature.com/articles/d41586-018-00009-5 Insights from cancer & ancient #genomes. Cures from #CRISPR. Progress in
#OpenAccess. Also, lots on outer space. But nothing on #cryoEM, #DeepLearning, #QuantumComputing or the brain connectome. HT @OBahcall

google released variant calling with deep learning

December 16, 2017

$GOOG Is Giving Away AI That Can Build Your Genome Seq. https://Research.GoogleBlog.com/2017/12/deepvariant-highly-accurate-genomes.html + https://www.Wired.com/story/google-is-giving-away-ai-that-can-build-your-genome-sequence GATK creators now doing a tensor-flow version. Release sounded a bit like IBM unveiling Deep Blue decades ago: “Today, we announce…DeepVariant, a #DeepLearning tech…"

Steven Salzberg’s response to deep variant:
https://www.forbes.com/sites/stevensalzberg/2017/12/11/no-googles-new-ai-cant-build-your-genome-sequence/#5953db7b5774

QT:{{"On Monday, Google released a tool called DeepVariant that uses deep learning—the machine learning technique that now dominates AI—to identify all the mutations that an individual inherits from their parents.1 Modeled loosely on the networks of neurons in the human brain, these massive mathematical models have learned how to do things like identify faces posted to your Facebook news feed, transcribe your inane requests to Siri, and even fight internet trolls. And now, engineers at Google Brain and Verily (Alphabet’s life sciences spin-off) have taught one to take raw sequencing data and line up the billions of As, Ts, Cs, and Gs that make you you.”
"}}

Google Is Giving Away AI That Can Build Your Genome Sequence
https://www.wired.com/story/google-is-giving-away-ai-that-can-build-your-genome-sequence/

The Serial-Killer Detector | The New Yorker

December 9, 2017

The Serial-Killer Detector
https://www.NewYorker.com/magazine/2017/11/27/the-serial-killer-detector Journalist finds subtle yet predictive crime patterns with the computer. Wonder if #DeepLearning would be helpful here? Probably not // #CrimeMap

Qt:{{‘
A former journalist, equipped with an algorithm and the largest collection of murder records in the country, finds patterns in crime. “}}

New Theory Cracks Open the Black Box of Deep Learning | Quanta Magazine

November 12, 2017

New Theory Cracks Open the Black Box of #DeepLearning
https://www.QuantaMagazine.org/new-theory-cracks-open-the-black-box-of-deep-learning-20170921/ Highlights the importance of a compression phase for generalization

QT:{{”
“Then learning switches to the compression phase. The network starts to shed information about the input data, keeping track of only the strongest features — those correlations that are most relevant to the output label. This happens because, in each iteration of stochastic gradient descent, more or less accidental correlations in the training data tell the network to do different things, dialing the strengths of its neural connections up and down in a random walk. This
randomization is effectively the same as compressing the system’s representation of the input data. As an example”
“}}

interactive cnn

June 18, 2017

an intuitive example of how CNN works

http://playground.tensorflow.org/