A Lightweight and User-Friendly EoH Framework for LLM-driven Automated Algorithm/Heuristic Design Heuristics are indispensable for tackling complex search and optimization problems. However, manual ...

An implementation of MNN correct in python featuring low memory usage, full multicore support and compatibility with the scanpy framework. Batch effect correction by matching mutual nearest neighbors ...

Bin packing is a well-established 1 combinatorial optimization problem with wide-ranging applications in domains such as logistics, resources allocation, and scheduling. Its primary objective is to ...

Recent advances in large language models (LLMs) have made artificial intelligence more adaptable than ever before, but that comes with a drawback: lies. Generative AI tends to make things up, but ...

They had to throw away most of what it produced but there was gold among the garbage. Google DeepMind has used a large language model to crack a famous unsolved problem in pure mathematics. In a paper ...

Efficient packing of items into bins is a common daily task. Known as Bin Packing Problem, it has been intensively studied in the field of artificial intelligence, thanks to the wide interest from ...

REFUSE COLLECTION company Oxigen Environmental have admitted that there have been ' teething problems' with the change in their bin collection schedule which has resulted in complaints from residents ...