Using the TUBITAK National Observatory and ESA's Gaia satellite, astronomers from the Istanbul University in Turkey and ...

In various domains, big data play crucial and related processes because of the latest developments in the digital planet. Such irrepressible data growth has led to bring clustering algorithms to ...

Speedata, a Tel Aviv-based startup developing an analytics processing unit (APU) designed to accelerate big data analytic and AI workloads, has raised a Founded by six researchers, Speedata wants ...

AlphaEvolve uses large language models to find new algorithms that outperform the best human-made solutions for data center management, chip design, and more.

Traditional scalable clustering algorithms mainly deal with the clustering of linearly separable data, but it is challenging to cluster the non-linear separable data efficiently in the feature space.

Algorithms belonging to both categories are considered in this study. Furthermore, we examine scalable clustering methods. This category of techniques can handle extremely large data by scaling the ...

With technological advancements and innovation, no-code AI tools bring nontechnical users text mining capabilities.