Abstract: One or more computer processors intercept one or more network inputs entering or existing an internal network; synthesize one or more network input images from a random noise vector sampled from a normal distribution of textually embedded network inputs utilizing a trained generative adversarial network; classify one or more synthesized network input images by identifying contained objects utilizing a trained convolutional neural network with rectified linear units, wherein the objects include patterns, sequences, trends, and signatures; predict a security profile of the one or more classified network input images and associated one or more network inputs, wherein the security profiles includes a set of rules and associated mitigation actions, analogous historical network traffic, a probability of infection, a probability of signature match with historical malicious network inputs, and a harm factor; apply one or more mitigation actions based on the predicted security profile.

Abstract: Electroplating system seals may include an annular busbar characterized by an inner annular radius and an outer annular radius. The annular busbar may include a plurality of contact extensions. The seals may include an external seal member characterized by an inner annular radius and an outer annular radius. The external seal member may be vertically aligned with and extend inward of the contact extensions at the inner annular radius of the external seal member. The external seal member may include an interior surface at least partially facing the contact extensions. The seals may also include an internal seal member extending a first distance along the interior surface of the external seal member from the inner annular radius. The internal seal member may include a deformable material configured to support a substrate between the internal seal member and the plurality of contact extensions.

Abstract: One or more computer processors intercept one or more network inputs entering or existing an internal network; synthesize one or more network input images from a random noise vector sampled from a normal distribution of textually embedded network inputs utilizing a trained generative adversarial network; classify one or more synthesized network input images by identifying contained objects utilizing a trained convolutional neural network with rectified linear units, wherein the objects include patterns, sequences, trends, and signatures; predict a security profile of the one or more classified network input images and associated one or more network inputs, wherein the security profiles includes a set of rules and associated mitigation actions, analogous historical network traffic, a probability of infection, a probability of signature match with historical malicious network inputs, and a harm factor; apply one or more mitigation actions based on the predicted security profile.

Abstract: Electroplating system seals may include an annular busbar characterized by an inner annular radius and an outer annular radius. The annular busbar may include a plurality of contact extensions. The seals may include an external seal member characterized by an inner annular radius and an outer annular radius. The external seal member may be vertically aligned with and extend inward of the contact extensions at the inner annular radius of the external seal member. The external seal member may include an interior surface at least partially facing the contact extensions. The seals may also include an internal seal member extending a first distance along the interior surface of the external seal member from the inner annular radius. The internal seal member may include a deformable material configured to support a substrate between the internal seal member and the plurality of contact extensions.