It was on a Facebook post by yacht designer and past Seahorse magazine editor Julian Everitt where the comments included this ...

Unions are in a death spiral, and the numbers show they could nearly vanish within our lifetime. That’s not alarmism. It’s ...

Understanding a molecule that plays a key role in nitrogen fixing – a chemical process that enables life on Earth – has long ...

New research indicates that the structural organization of the human brain does not develop in a continuous, linear fashion ...

Lasso is a regularization method for parameter estimation in linear models. It optimizes the model parameters with respect to a loss function subject to model complexities. This paper explores the use ...

Research team debuts the first deterministic streaming algorithms for non-monotone submodular maximization, delivering superior approximation ratios with minimal memory and real-time throughput on ...

Multi-step temporal-difference (TD) learning, where the update targets contain information from multiple time steps ahead, is one of the most popular forms of TD learning for linear function ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Scientists at Weill Cornell Medicine have developed a new algorithm, the Krakencoder, that merges multiple types of brain imaging data to better understand how the brain s wiring underpins behavior, ...

The solution of the nonlinear differential equation Y″ = F(x, Y, Y′) with two-point boundary conditions is approximated by a quintic or cubic spline function y(x ...