This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations. Objective: ...

Advances in both the physical properties of chips and in design tools allow us build huge systems into “just a few” square millimeters. The problem is that modeling these systems at the ...

Manish Raghavan is one of the leading researchers on the use of computational techniques in areas of social concern, including algorithmic fairness and behavioral economics. He’s been instrumental in ...

Algorithmic trading is no longer the exclusive domain of niche quantitative firms—it has become the backbone of modern financial markets. I am already seeing the significant impact AI-driven ...

“The Times They Are A-Changin.” Jason Rand, global head of electronic trading and distribution at Berenberg, sets out how democratising access to quantitative execution analytics and data ...

Too often, we see the deluge of content streaming through our tech platforms as a wave washing over us. But the reality is that this is a “wave” we are choosing to ride. It’s useful to think of our ...

Spartan Arena has been engineered from the ground up as a fully transparent testing environment, offering participants a way ...