Abstract: The presently disclosed subject matter includes a system for the detection of phishing cyber-attacks based on an application of deep machine learning techniques including the implementation of a deep convolutional neural network to determine whether a web element associated with a uniform resource locator is part of a phishing cyber-attack. The system produces a notification indicative of the phishing cyber-attack when a positive match between the uniform resource locator and the phishing cyber-attack is determined. The convolutional neural network is retrained at periodic time intervals with new datasets retrieved by an automated dataset collector and thus, improves the detection of zero-days cyber-attacks.

Abstract: An infant care system for warming infants is disclosed. The infant care system comprises a supporting structure and an infant enclosure. The infant enclosure is assembled onto the supporting structure and capable of holding an infant. The infant enclosure includes a plurality of walls for forming the enclosure. The plurality of walls is capable of providing heat energy into the infant enclosure for the infant. An electric source is electrically connected to the plurality of walls for providing power to these walls for generating the heat energy for warming the infant.