Quantum computer research is advancing at a rapid pace. Today's devices, however, still have significant limitations: For example, the length of a quantum computation is severely limited—that is, the ...

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

SeaCast is an innovative high-resolution forecasting system for the Mediterranean that harnesses AI to deliver faster and ...

Dive into Python Physics Lesson 18 and master numerical integration! In this tutorial, we explain step by step how to use Python to approximate integrals, solve physics problems, and analyze motion ...

Lance Fortnow on the current status and future outlook of solving the P-NP problem.

Computing is hardly the only discipline in which AI has prompted a moment of reflection. Yet coding agents and app generators raise profound questions about the purpose of the field—and indeed, its ...

Why use transfer learning on multi-fidelity data for surrogate models? Neural networks (NNs) are often used as surrogates or emulators of partial differential equations (PDEs) that describe the ...

ABSTRACT: Depression treatment often involves a complex and lengthy trial-and-error process, where clinicians sequentially prescribe medications to identify the most ...

AI has mushroomed. We know that generative AI has already become ubiquitous, so that it is now bidding to augment, assist and even replace the things we do. GPU company CEO Jensen Huang declared ...

Addressing a variety of questions within Earth science disciplines entails the inference of the spatiotemporal distribution of parameters of interest based on observations of related quantities. Such ...

"core_analysis": "The core challenge for mycelium to survive in space is the near-complete absence of atmosphere, the presence of extreme radiation, extreme temperature fluctuations, and lack of water ...

Learning coding equips students with critical thinking, problem-solving, and computational skills. It is essential for schools to develop opportunities for students to learn computational thinking ...