Genomes from Coleus comosus and an interspecific hybrid facilitate taxonomic classification - Nature

Planetary researchers at the University of Sydney have proposed a new way to classify the soils of Mars, along with a new word for them: areth (the name comes from Ares, the Greek name for Mars). Classification of realms across the Martian surface. Image credit: McBratney et al., doi: 10.1016/j.catena.2026.110649.

We’re sharing this article early to provide faster access to peer-reviewed, accepted research. It is citable and carries a permanent DOI. This version is subject to further edits and will be replaced automatically by the final Version of Record. All legal disclaimers apply. AbstractThe most significant problem facing software security firms in the current cybersecurity system is the fact that new strains of malware keep on appearing. The achievement of successful detection of malicious software based on both static and dynamic data remains unmet despite the further realization of different approaches to deep learning and machine learning. Defects in encryption, packaging, and distribution, the discrepancies between the distribution of malware samples in families, make this issue even worse. To do actual malware research that utilizes deep learning methods, you will require data scientists of appropriate competence, large amounts of computer power (particularly GPUs) and time. In order to overcome such issues, this approach involves a hybrid approach to feature extraction that integrates wavelet and other statistical features based on benchmarked malware image sets.

A Ph.D. student at the University of Sydney has produced the first comprehensive classification system and map of Martian soils, creating a new framework that could help scientists compare landscapes across the Red Planet and identify promising locations for future exploration, habitation and food production.