Sorting algorithms are a common exercise for new programmers, and for good reason: they introduce many programming ...

A research paper by scientists from Beihang University proposed a machine learning (ML)-driven cerebral blood flow (CBF) prediction model, featuring multimodal imaging data integration and an ...

ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...

A new technique allows complex interactions in materials to be simulated using Monte Carlo simulations thousands of times ...

Patients with multiple myeloma are at significantly increased risk of venous thromboembolism (VTE), particularly in the first year after diagnosis. Numerous disease- and patient-related factors ...

Instagram is introducing a new tool that lets you see and control your algorithm, starting with Reels, the company announced on Wednesday. The new tool, called “Your Algorithm,” lets you view the ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Forbes contributors publish independent expert analyses and insights. Nathan Goldman is a tax prof. at NC State Univ. If Trump’s tariffs in the year 2025 have taught us anything, it is that tax policy ...

Color prediction algorithms are widely used in gaming and probability-based applications, generating sequences based on mathematical models or randomness. Understanding their inner workings often ...

Abstract: In this work, we present the design for both pilot-uncoupled and pilot-free on-off multiple access (ODMA) receivers in unsourced random access (URA) for multiple-input multiple-output (MIMO) ...