@google@antigravity Potential bug: The releases page, the changelog page, and this https://t.co/z0lXaZ7e30 file, mention the latest version for the Antigravity IDE as 2.0.4, however, the JS file points to the 2.0.3 release bundles for all platforms. See: https://t.co/koSB7t66Qj
Merry Christmas! ๐โจ May you continue to be kind and generous, and in doing so, โDo not let your left hand know what your right hand is doing.โ
The pictures are fascinating! What a tremendous achievement!
Congratulations @lsstsssc@VRubinObs
scientists, engineers, physicists, astronomers, and so many more people that have made this possible.
https://t.co/JfNOXiNyQF
Who'd have thought in the previous decade that the last edition of @CACMmag in 2021 would have "Hardware" on its cover and a viewpoint on "What Every Engineer and Computer Scientist Should Know: The Biggest Contributor to Happiness"?
Not surprising, yet embarrassing! @gneubig Do you have a sense of how many of those are on Explainaboard's MT Leaderboard? Perhaps, flag those to maintain credibility of Explainaboard's listing? https://t.co/o0WJRZWZuB #NLProc
I highly recommend this #ACL2021NLP outstanding paper on machine translation evaluation: https://t.co/CheAGTZah3
It shows the (increasing) lack of rigor in MT evaluation, and gives 4 concrete recommendations that should be easy to follow and required by all MT reviewers!
A group of alumni of @LTIatCMU have joined together to provide one of the most generous gifts in LTI history and create the Chinese Alumni Fellowship. This impressive group of friends are the epitome of what @LTIatCMU represents. https://t.co/7r59YLXoTV
A group of alumni of @LTIatCMU have joined together to provide one of the most generous gifts in LTI history and create the Chinese Alumni Fellowship. This impressive group of friends are the epitome of what @LTIatCMU represents. https://t.co/7r59YLXoTV
Tom Mitchell, whose work has helped establish @CarnegieMellon's leadership in machine learning and AI, named interim dean of @SCSatCMU https://t.co/O8lGA7Y1Ul
@zacharylipton The general view that Iโve seen in Health policy papers is that the target objective is causal inference to explain the underlying phenomenon and not prediction or learning.
Top ten institutions by @NipsConference accepted papers in 2017. Curse you @Google for pipping @CarnegieMellon , but you guys know this whole "internet" thing is just a fad right? We'll be back at the top soon.