Image segmentation remains a cornerstone of computer vision, facilitating the partitioning of images into meaningful regions for analysis and interpretation. Recent advancements have seen the ...

Graph algorithms and sparsification techniques have emerged as pivotal tools in the analysis and optimisation of complex networked systems. These approaches focus on reducing the number of edges in a ...

To help researchers better predict high-yielding crop traits, a team have stacked together six high-powered, machine learning algorithms that are used to interpret hyperspectral data -- and they ...

Experts in anthropology and cybersecurity are examining the unspoken knowledge shared by cybersecurity analysts as a way to develop new automated tools that help analysts strengthen their cyber ...

Where would be the most ideal landing site for the Artemis III crew in SpaceX's Human Landing System (HLS)? This is what a recent study submitted to Acta Astronautica, and available on the arXiv ...

A group of researchers from Lanzhou Jiaotong University in China has developed a maximum power point tracking (MPPT) technique based on an improved snake optimizer (ISO) algorithm. The ISO is a ...

Google's TurboQuant algorithm compresses LLM key-value caches to 3 bits with no accuracy loss. Memory stocks fell within ...

The proposed algorithm is intended for harvesting the maximal power in PV systems operating in varying weather scenarios. According to its creators, the new approach can be applied on a low-cost ...

Dr. James McCaffrey of Microsoft Research uses full code samples to detail an evolutionary algorithm technique that apparently hasn't been published before. The goal of a combinatorial optimization ...