The machine learning research papers the Scale AI team read and discussed in Q1 2020.
Under a microscope, a pane of window glass doesn’t look like a collection of orderly molecules, as a crystal would, but rather a jumble with no discernable structure. Glass is made by ...
Covid-19 is showing us that when humanity is united in common cause, phenomenally rapid change is possible. None of the world’s problems are technically difficult to solve; they originate ...
Analyst firm Omdia has predicted that the expenditure on AI software for retail uses across the world will grow to $9.8 billion (£7.96bn) in 2025, compared to $1.3bn in 2019. The report, ...
2020 will no doubt be a huge year for AI Research. We’re looking forward to exploring areas of work that can make important AI breakthroughs possible.
Imperial College London researchers accelerate classical computer vision problem Bundle Adjustment using Gaussian Belief Propagation on Graphcore's IPU.
A Consumer Reports experiment raises questions about how the social media giant screens ads on its platform, finding that Facebook approved ads with coronavirus misinformation.
Human players can help train AI to find disease-causing microbes more quickly.