Abstract: Disclosed herein are systems, methods, and processes for a machine learned alert triaging classification (ATC) system that uses machine learning techniques to generate an alert triage classification model that can be trained and deployed in modern security operation centers to optimize alert triaging and cyber threat classification. A training dataset of classified records is obtained. Each classified record in the training dataset includes detection characteristics data of a set of machines and threat classification results produced by performing alert triage classification of detection messages associated with the set of machines. An ATC model is trained using the training dataset according to a machine learning technique. The training tunes the ATC model to classify, based on at least the detection characteristics data, a new detection message associated with a machine from the set of machines as a threat or as not a threat.

Abstract: A signalling device for bicycles comprising a lighting unit connectable to a support on the vehicle, which includes signalling lights, brake lights and turn signals, and for delimiting a reference safety distance for other vehicles; formed by a central body, which includes the electronics and signalling systems enclosed therein and isolated from the weather, and two horizontal arms, diametrically opposed, arranged so that at least one of them is foldable on the previous one and both are shaped to internally transmit the light from two LEDs that provide the turn signal to the bicycle to the ends, which are separated from each other by at least 18 cm.

Abstract: Disclosed herein are systems, methods, and processes for a machine learned alert triaging classification (ATC) system that uses machine learning techniques to generate an alert triage classification model that can be trained and deployed in modern security operation centers to optimize alert triaging and cyber threat classification. A training dataset of classified records is obtained. Each classified record in the training dataset includes detection characteristics data of a set of machines and threat classification results produced by performing alert triage classification of detection messages associated with the set of machines. An ATC model is trained using the training dataset according to a machine learning technique. The training tunes the ATC model to classify, based on at least the detection characteristics data, a new detection message associated with a machine from the set of machines as a threat or as not a threat.

Abstract: An aqueous composition for use in activating surface of polymers.

Abstract: An aqueous composition for use in activating surface of polymers.

Abstract: A linear bearing assembly comprising sets of guides (ways) for guiding rolling elements (ball bearings or rollers) constrained within a cage. Typically, two sets of rolling elements and cages are used between a moving part and a stationary part. Each set has four resilient elements (springs) with one end of each spring anchored to the cage and with the other ends of two springs anchored to the stationary way or part and the other ends of the other two springs are anchored to the movable way or part. This arrangement provides a restoring spring force that gradually forces the cage to its correct tracking position. If the cage is tracking properly, the spring forces cancel out and there is no inherent rubbing in the restoring mechanism.