Galaxy groups hiding in the universe's emptiest places

Imagine standing in the emptiest place the universe has to offer, a stretch of cosmic ocean so vast that light takes tens of ...
techtimes

AMD and Intel’s ACE Locks In x86 AI Compute Standard, Replacing Intel’s Older AMX

AMD and Intel have now published a full technical specification for ACE — AI Compute Extensions — the most significant overhaul to x86 AI compute in the architecture's history, co-authored by eight ...
IEEE

2-D Learned Proximal Gradient Algorithm for Fast Sparse Matrix Recovery

Abstract: Many real-world problems can be modeled as sparse matrix recovery from two-dimensional (2D) measurements, which is recognized as one of the most important topics in signal processing ...
Scientific Research Publishing

Leaning Sparse Nonlinear Dynamical Systems via Frank-Wolfe Algorithm with Integral Strategy ()

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
IEEE

A Work-Efficient Parallel Sparse Matrix-Sparse Vector Multiplication Algorithm

Abstract: We design and develop a work-efficient multithreaded algorithm for sparse matrix-sparse vector multiplication (SpMSpV) where the matrix, the input vector, and the output vector are all ...
GitHub

SCEMENT : Large scale Single-cell RNA-seq Integration

SCEMENT, a SCalablE and Memory-Efficient iNTegration method for large single-cell RNA-seq datasets. Our parallel algorithm builds upon and extends the linear regression model applied in ComBat, to an ...
PNAS

The sparse macroecology of microbiology

Ecology is often defined in terms of the interactions among species. Macroecology aims to take a global view of the general patterns of all ecological processes including the interactions among ...
Scientific American

How Recommendation Algorithms Work—And Why They May Miss the Mark

Whether we’re using Spotify, Amazon, Netflix or Instagram, we encounter algorithms that recommend content or products to us every day. In 2017 Netflix stated that its users discover around 80 percent ...