Abstract: Scientific and data science applications are becoming more complex, with increasingly demanding computational and memory requirements during execution. Modern high performance computing (HPC ...

Abstract: The application of multi-robot cooperative scheduling algorithm in intelligent warehouse solves the problems of path conflict between robots, uneven task allocation, poor scalability of the ...

A new technique breaks Dijkstra's 70-year-old record: it finds routes faster in huge networks, changing graph theory forever.

In art, brush marks can be seen as a flaw or the signature of a noted painter. Similarly, what appears to be operational ...

The system's ability to learn and adapt from operational data resulted in continuous performance improvements over time. Hospital administrators reported significant reductions in scheduling conflicts ...

My home is much better with well-applied artificial intelligence, making things safer and saving money. Here's where AI is ...

As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...

GeeLark also functions as an end-to-end automation engine by combining content creation, distribution, and engagement within ...

The future of healthcare isn’t about humans versus machines. It’s about humans with machines, working side by side.

When you create an algorithm, you need to include precise, step-by-step instructions. This means you will need to break down the task or problem into smaller steps. We call this process decomposition.

AI can help design AI systems: automating architecture choices, discovering algorithms, and optimizing hardware ...