"Self-driving" or "autonomous" labs are an emerging technology in which artificial intelligence guides the discovery process, ...

The fund seeks to enable researchers to make leaps rather than incremental advances in the natural sciences and engineering.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Abstract: This article proposes design techniques for partially calibrated sparse linear subarrays and algorithms to perform direction-of-arrival (DOA) estimation. First, we introduce array ...

SAN FRANCISCO, Oct 22 (Reuters) - Google said it has developed a computer algorithm that points the way to practical applications for quantum computing and will be able to generate unique data for use ...

It’s a $1.6 trillion question: Which impact investment practices and characteristics truly generate the positive outcomes that investors and stakeholders want to see? With a 21 percent compound annual ...

The pharmaceutical industry is on the cusp of an AI-driven revolution. By 2030, AI-powered drug discovery is projected to be a $9.1 billion market, growing at a staggering 29.7% CAGR. AI promises to ...

1 The College of Computer, Qinghai Normal University, Xining, China 2 Department of Mechanical and Electrical Engineering, College of Xining Urban Vocational and Technical, Xining, China Traditional ...

The White House Council of Economic Advisors (CEA) released a report on December 17 detailing the impact of rental housing price algorithms on the cost of rent. The report shows that such algorithms, ...

Sparse canonical correlation analysis (sCCA) has been a useful approach for integrating different high-dimensional datasets by finding a subset of correlated features that explain the most correlation ...