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 ...

SolverForge is a free AI Optimization Framework for Rust and Python. It allows you to solve any planning optimization problem (e.g. shift scheduling, vehicle routing, bin packing) and deliver a ...

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 ...

It's lettuce season in the Salinas Valley, a carrot-shaped lowland in the central California region that produces about 70 percent of the leafy greens sold in U.S. retail markets. On a typically foggy ...