AI research increasingly requires datacenter-scale computation, raising concerns that only a few big tech companies will dominate advances in the field
Each big step of progress in computing — from mainframe to personal computer to internet to smartphone — has opened opportunities …
A.I. research is in danger of becoming a field of haves and have-nots, computer scientists say. And the haves will mainly be the likes of Google, Microsoft, Amazon and Facebook. https://nyti.ms/...
This piece claims that cutting-edge AI is at risk of being concentrated with big-tech. It misses the innovation in the AI chip space. We will see some breakthroughs in chip technology which will allow for running compute-intensive deep learning, cheaply - https://www.nytimes.com/…
AI is an energy hog: the volume of calculations needed to be a leader in A.I. tasks like language understanding, game playing and common-sense reasoning has soared an estimated 300,000 times in the last six years. https://www.nytimes.com/...