🤖 Meta (= Facebook) announced a new "language model" today, trained on millions of scientific papers. Judging from examples in the HN discussion, it's hilariously bad.
Language models should model language, not "knowledge." https://t.co/bWDjpwPlzO
I asked #Galactica about some things I know about and I'm troubled. In all cases, it was wrong or biased but sounded right and authoritative. I think it's dangerous. Here are a few of my experiments and my analysis of my concerns. (1/9)
Such great news, I am very honored to receive this award and present our work at CNPN on data independent acquisition over the last 10 years with great students and great collaborations!
@CNPN_2021 Such great news, I am very honored to receive this award and present our work at CNPN on data independent acquisition over the last 10 years with great students and great collaborations!
The #HUPOECR and @EU_YPIC are bringing you a new online interactive panel series! The inaugural panel (May 17, 7PM EDT) will be discussing the effective promotion of diversity in proteomics and features a rock-star roster of panelists ⭐️ Register today! https://t.co/Uzynske44k
Please join us for our upcoming FeMS Virtual Happy Hour on May 18th at 7pm EDT featuring a panel discussion on job interviews led by @dschweppe1@jespinoms@HuiYe93121721 and @StacyMalaker! All are welcome, register at https://t.co/49afyRuFV4
Another reminder to sign up for our Directory of Underrepresented Scientists if you haven’t already, and to utilize it when you are looking for speakers, reviewers, award nominees, and more!
WE'RE HIRING ICYMI! We are proud and excited to collaborate with @donnellycentre and @MbD_UofT on this new tenure-stream position in integrative physiology. Applications due Feb 1st, full details here: https://t.co/T1PbyEp4na
Please share widely! #CompBio#DataMining
@trvrb@gingraslab1 Here is a cool study using the CDC influenza-like illness
(ILI) surveillance data to estimate the number of "extra" doctor visits of people with influenza-like symptoms: https://t.co/41jjG0e4GR Estimated detection rate is 0.75% (i.e. true infection rates are 100-fold higher)
Processing Metabolomics and Proteomics Data with Open Software -- finally the book is out! We contributed two chapters to this book on how to analyze your mass spec data, using OpenMS and Python: https://t.co/DoIhLdhe48