Abstract: A method for identifying malicious software includes receiving and executing a software application, identifying a plurality of uniform resource identifiers the software application interacts with during execution of the software application, and generating a vector representation for the software application using a feed-forward neural network configured to receive the plurality of uniform resource identifiers as feature inputs. The method also includes determining similarity scores for a pool of training applications, each similarity score associated with a corresponding training application and indicating a level of similarity between the vector representation for the software application and a respective vector representation for the corresponding training application.

Abstract: Embodiments of the invention provide systems and methods for water purification. The systems have a preheater, a degasser, an evaporation chamber, a demister, and a control system, wherein the control system permits operation of the purification system through repeated cycles without requiring user intervention or cleaning. The system is capable of removing, from a contaminated water sample, a plurality of contaminant types including: microbiological contaminants, radiological contaminants, metals, salts, volatile organics, and non-volatile organics.