Tag Archives: x57l

My Notes Related to the NHGRI strategic planning meeting

MAIN event page

https://www.genome.gov/27572552/from-genome-to-phenotype–genomic-variation-identification-association-and-function-in-human-health-and-disease

TWEETS related to the event

https://docs.google.com/spreadsheets/d/e/2PACX-1vR3TtIvR1OIYxHa5nTQE0kFz2Dc7d8RGts8WWf4NHbR7ZdhBH7BXSY8DjYLo23gNWEAK0GtcTGFqaw8/pubhtml

Archived copy of the above in the labdropbox

Liked-Tweets-Related-NHGRI-strategic-planning-meeting–i0g2p18-genome2020-conf0mg in labdropbox

Liked-Tweets-Related-to–CBC-Twins-DNA-testing–csquare–and–NHGRI-strategic-planning-meeting–i0g2p18-genome2020.pdf

TAGGED links

https://linkstream2.gerstein.info/tag/i0g2p18/

Message to Yale Community about 2018 Day of Data – small correction

You are invited to attend the 6th annual Yale Day of Data on November 30 in Sterling Memorial Library.

The Yale Day of Data brings together researchers and data experts from across the disciplines to share experiences, challenges, and best practices related to data-intensive research. If you collect, manage, analyze, interpret, or otherwise work with data, this event is for you.

This year’s theme, “Data on Earth,” is intentionally broad, to encompass data about the Earth and the environment, data that help us understand the health and lives of Earth’s inhabitants, and data with global impact.

Keynote: William Michener (Principal Investigator of DataONE, Professor and Director of e-Science Initiatives, University Libraries, University of New Mexico), “Managing Data Throughout the Research Life Cycle to Enable New Science and Support Decision Making”

Talks by Yale faculty and researchers: Tracey Meares, Dena
Schulman-Green, Karen Seto, Alan Gerber, Jessi Cisewski, Casey King, Martin Wainstein & Sophie Janaskie

Registration is now open for the 2018 Yale Day of
Data:https://elischolar.library.yale.edu/dayofdata/2018/.

New algorithm can create movies from just a few snippets of text | Science | AAAS

Interesting paper by alumnus Renqiang Min on “Video Generation from Text,” using a generative #MachineLearning model.
http://www.AAAI.org/GuideBook2018/16152-72279-GB.pdf (Press report by @SilverJacket: New algorithm can create movies from just a few snippets of text
http://www.ScienceMag.org/news/2018/02/new-algorithm-can-create-movies-just-few-snippets-text )

Video Generation from Text Yitong Li†∗, Martin Renqiang Min‡ , Dinghan Shen† , David Carlson† , Lawrence Carin† †

Google Sells A.I. for Building A.I. (Novices Welcome) – The New York Times

$GOOG Sells AI for Building #AI
https://www.NYTimes.com/2018/01/17/technology/google-sells-ai.html QT: “Humans must label the data before the system can
learn…once images…labeled…[it] operates w/o human
involvement…It can build a model from scratch.” How can one preview this? Will it be integrated into gphotos?

QT:{{”
Initially, Google will open this service only to a small group of businesses.

But sometimes, there is no substitute for good old human labor. With Google’s new service, humans must label the data before the system can learn from it. …

Google says that once images are labeled, its new service operates without human involvement….Given more time, it
can build a model from scratch, specifically for the problem at hand.

If you are a zoologist who wants an algorithm that identifies jaguars and giraffes, said Fei-Fei Li, chief scientist inside the Google cloud group, all you have to do is supply the right images. “You upload jaguars and giraffes,” she said. “And you are done.”
“}}