2,366 karma · joined February 7, 2020
The “hypothesis presumes that athletes in interactive sports are much more likely to play and practice against right-handed opponents. As a result, these athletes develop both greater familiarity and highly specific skills to anticipate the action outcomes of their right-handed opponents via attunement to crucial perceptual information”
Only 1 change per station per week on average? Fewer than I expected. Not sure I'd call it a scraper, myself.
157p/L national average is about 8 USD/G.
I’d like to try a squarish monitor, but it seems to be a barren wasteland of choice: mateview, dualup, or flexscan. Meh.
It's like going back in time.
I have a A2000, and use Amiberry, but I'm looking forward to using this thing.
https://r0k.us/graphics/kodak/kodim23.html
It seems to have been uploaded in 1999 from an old slide dataset.
This seems to be the Photo CD from 1993. I suppose the source goes back earlier.
> I spent years building ImageNet, the first large-scale visual learning and benchmarking dataset and one of three key elements enabling the birth of modern AI, along with neural network algorithms and modern compute like graphics processing units (GPUs).
Datasets + NNs + GPUs. Three "vastly different" advances that came together. ImageNet was THE dataset.
Underrated and unsung. Fei Fei Li first launched ImageNet way back in 2007, a hugely influential move sparking much of the computer vision deep learning that followed since. I remember in a lecture about 7 years ago jph00 saying "text is just waiting for its imagenet moment" -> then came the gpt explosion. Fei Fei was massively instrumental in where we are today.
https://www.atarimagazines.com/creative/v10n4/150_Amiga_Lorr...
Forbodingly, the article signs off with "Amiga, please don't join the sorrowful ranks that have wasted technological superiority through marketing muck-ups."