A new Cornell University study finds that employees who are impressed by corporate jargon score worse on decision-making ...

The market doesn't have room for “placeholders”. We build defensible business assets—from taglines that act as “search-intent magnets” to website copy that converts at 120mph. Your brand voice is the ...

The halt to oil and gas shipments through the strait is the nightmare scenario for the global energy system and represents one of the most serious disruptions to energy supply ever suffered. Spare ...

To address the issues of feature mismatching and map overlap drift in simultaneous localization and mapping (SLAM) within degraded environments characterized by sparse geometric features or severe ...

Abstract: This paper proposes a multi-objective Gannet Optimization Algorithm (MOGOA) to address the issue of unbalanced train occupancy rates in railway train operation planning. MOGOA employs an ...

Flow Tuner lets users pick which genres are included in a Flow session, rather than just disliking individual songs. It’s a hamfisted way to customize your algorithm, but the specificity of Deezer’s ...

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...

The original version of this story appeared in Quanta Magazine. One July afternoon in 2024, Ryan Williams set out to prove himself wrong. Two months had passed since he’d hit upon a startling ...

To address the issues of insufficient control parameter identification accuracy and convergence speed during the grid connection of distributed power sources, a control parameter identification method ...

We present two accurate and efficient algorithms for solving a group of fluid flow problems based on the Navier-Stokes Equations (NSEs). Both methods use a time-stepping approach with the ...

Artificial intelligence has become a popular tool for job recruiters, in part because programmers can code applicant-screening algorithms to avoid any explicit discrimination in their decision-making ...