“Publish or perish” leads to an avalanche of poor-quality work (where else have we seen that phenomenon?)

It also makes it difficult to get an overview of the field (any field, let alone the things that fall between and across fields).

Does deep learning offer a way forward?

Originally shared by Larry Panozzo

“One promising strategy to overcome the current crisis is to integrate machines and artificial intelligence in the scientific process. Machines have greater memory and higher computational capacity than the human brain. Automation of the scientific process could greatly increase the rate of discovery. It could even begin another scientific revolution. That huge possibility hinges on an equally huge question: can scientific discovery really be automated?“