https://x.ai/
https://claralabs.com/
https://www.wired.com/story/xai-meeting-ai-chatbot/
Posts Tagged ‘x57l’
Today: Jason Moore, Computational Biology and Bioinformatics speaker, 6-6-18 in BML Auditorium at 4 pm
June 7, 2018Windows Subsystem for Linux
May 25, 2018Could baby’s first bacteria take root before birth?
April 21, 2018Could baby’s first bacteria take root before birth?
https://www.Nature.com/articles/d41586-018-00664-8 Interesting discussion of the controversy around detecting trace exogenous sequences in human tissues. Perhaps relevant to #exRNA?
IMPC | International Mouse Phenotyping Consortium
April 6, 2018IMPC | International Mouse Phenotyping Consortium
http://www.mousephenotype.org/
New algorithm can create movies from just a few snippets of text | Science | AAAS
March 18, 2018Interesting 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† †
New GWAS SCZ loci (nature genetics 2018)
March 5, 2018Common #schizophrenia alleles are enriched in mutation-intolerant genes & in regions under strong background selection
https://www.nature.com/articles/s41588-018-0059-2 50 novel SCZ loci & 145 loci in total, from #GWAS – associated w/ 33 candidate causal genes
QT:{{”
We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci.
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Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection
Nature Genetics (2018)
doi:10.1038/s41588-018-0059-2
Bulldog Mobile (LiveSafe) App | It’s Your Yale
March 4, 2018Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap
February 11, 2018http://science.sciencemag.org/content/359/6376/693.full
+
perspective
http://science.sciencemag.org/content/359/6376/619.full
Gene Expression Overlaps Among Psychiatric Disorders
Transcriptional profiling of post-mortem human brains reveals commonalities in the genes over- and under-expressed in schizophrenia, bipolar disorder, autism, and major depression.
Google Sells A.I. for Building A.I. (Novices Welcome) – The New York Times
January 27, 2018$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.”
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