GraphiQ is an open-source framework for designing photonic graph state generation schemes. Photonic graph states are an important resource for many quantum information processing tasks including ...

Astronomers at the University of North Carolina at Chapel Hill have discovered that the famous Pleiades star cluster, the "Seven Sisters" often spotted on winter nights, is just the bright tip of a ...

Globular clusters are gravitationally bound, dense star collections containing tens of thousands to millions of stars, often located in galactic halos. Omega Centauri, the largest known globular ...

The new International Association of Maritime Clusters (IAMC) was launched during London International Shipping Week 2025 after a panel discussion: “Why collaboration is essential for maritime to grow ...

For astronomers studying dark matter, the Bullet Cluster is one of the greatest laboratories in the universe. It was discovered almost by accident, a blip of x-rays in the sky that was detected by ...

Warm mid-August summer nights offer prime conditions for spotting three magnificent star clusters visible to northern-hemisphere skywatchers in the coming months. Star clusters are gravitationally ...

Microsoft has resolved a known issue that triggers Cluster service and VM restart issues after installing July's Windows Server 2019 security updates. The company acknowledged the bug in a private ...

Addressing analysts earlier this year, executives from Alexandria Real Estate Equities discussed some sobering trends facing biopharma as well as the industry’s enduring strengths, both of which pose ...

Using the TUBITAK National Observatory and ESA's Gaia satellite, astronomers from the Istanbul University in Turkey and elsewhere have conducted comprehensive observations of two open clusters, namely ...

Cluster computing is a method of setting up multiple computers so they can work together like a single system. Some cluster systems are massive machines that take up space in data centers. Others are ...

K-Means aims to partition your data into K distinct, non-overlapping clusters based on similarity. It minimizes the within-cluster sum of squares (WCSS) — i.e., how close data points in the same ...