The proposed control system for autonomous search and rescue robots integrates heuristic motion planning and TMPC, ensuring ...

Spiking Neural Networks (SNNs) are a cutting-edge approach to artificial intelligence, designed to emulate the brain's architecture and functionality. Their ...

Dynamic pricing lets e-commerce businesses adjust prices in real time based on demand, competition, and data, boosting ...

Discover how Finxor GPT’s AI-powered trading system is transforming automated investing in 2025 with precision, transparency, and global market access.

Using all-atom simulations of model mycomembranes, the work reports compelling structural insights into how α-mycolic acids and outer leaflet lipids (PDIM and PAT) shape membrane organisation. The ...

US District Judge Jed Rakoff rejected the National Retail Federation’s First Amendment claim, deeming the law a reasonable ...

CCI AI markets study warns of price collusion as AI algorithms automatically align prices and coordinate behaviours like ...

Abstract: Most existing studies in dynamic multi-objective optimization (DMO) focus on tracking changing Pareto optimal sets and/or the entire Pareto-optimal fronts (PFs). However, there may be ...

Super Bowl winner Kurt Warner enjoys some of the elements that the latest tweaks to the NFL’s dynamic kickoff rule provide, but he also believes they’re far from perfect. Warner suggested that the ...

An exclusive excerpt from Every Screen On The Planet reveals how the social media app’s powerful recommendation engine was shaped by a bunch of ordinary, twentysomething curators—including a guy named ...

Abstract: Mining high-utility itemsets (HUIs) from large and uncertain databases is challenging due to the vast data volume and extensive search space. Determining the minimum utility and ...