Software and lasers are used in finishing apparel to produce a desired wear pattern or other design. A technique includes using machine learning to create or extract a laser input file for wear pattern from an existing garment. Machine learning can be by a generative adversarial network, having generative and discriminative neural nets. The generative adversarial network is trained and then used to create a model. This model is used generate the laser input file from an image of the existing garment with the finishing pattern. With this laser input file, a laser can re-create the wear pattern from the existing garment onto a new garment.

A main object of the present technology is to provide a technique for automatically proposing a better combination of fluorochrome-labeled antibodies.

The present technology provides an information processing apparatus including a processing unit that generates a combination list of phosphors with respect to biomolecules on the basis of expression level categories in which a plurality of biomolecules to be used for analysis of a sample is classified on the basis of expression levels in the sample, brightness categories in which a plurality of phosphors usable for the analysis of the sample is classified on the basis of brightness, and correlation information between the plurality of phosphors, in which the processing unit selects the phosphors to be allocated to the biomolecules in the combination list from phosphors belonging to a brightness category associated with an expression level category to which the biomolecules belong.

Some aspects of the present invention include a system for computationally prediction of oscillation patterns of charges in a DNA sequence. Such a system includes one or more means for computationally predicting proton wires with longitudinal (coaxial) hydrogen bonds in the DNA sequence; and at least one means for predicting electron wires in the DNA sequence. These wires connect the aromatic rings of DNA basepairs. The above system includes at least one means for predicting tautomeric oscillations in said DNA.

A method according to some aspects of the present invention for computationally predicting oscillation pattern of charges in a DNA sequence includes: computationally predicting proton wires containing longitudinal (coaxial) hydrogen bonds, the wires spanning at least two DNA basepairs; predicting electron wires in the DNA which includes stretches of purines; and predicting tautomeric oscillations in the DNA.

A synthetic, cognitive cell, system, and method for automatically generating an output based on an environmental input is disclosed. The cognitive cell includes an operator including chemical agents, and a coded chemical including polymers. Each of the polymers includes a sequence of affinity blocks of molecular groups arranged in predetermined patterns to define a multi-layered base code. Each of the affinity blocks includes a monomer with a sidechain, the sidechains having affinities to each other. At least a portion of the affinity blocks forming a gate switch defining a bridge between the environmental inputs and the chemical agent whereby, upon exposure to the environmental inputs, the gate switches trigger the chemical agent to perform an operation. The coded chemical and at least one chemical agent are contained within a natural or synthetic membrane.

Disclosed herein are systems and methods executing a security server that perform various processes using alert elements containing various data fields indicating threats of fraud or attempts to penetrate an enterprise network. Using alert elements, the security server generate integrated alerts that are associated with customers of the system and assign a risk score for the integrated alerts, which the security server uses to store and sort the integrated alerts according to a priority, based on the relative risk scores. Analyst computers may query and fetch integrated alerts from an integrate alert database, and then present the integrate alerts to be addressed by an analyst according to the priority level of the respective integrated alerts. This allows to ensure that the right customer, is worked by the right analyst, at the right time, to maximize fraud prevention and minimize customer impact.

Systems and methods for authenticating dendritic product tags are disclosed. An authentication authority fabricates and digitally images a dendrite. A shape of the dendrite is numerically modeled as a graph including nodes. The nodes correspond to seed, bifurcation and termination points of the dendrite. Each node is associated in a database with a two value vector corresponding to the length and orientation of a linear approximation of the branch terminating at the node. This model is compared to a model built by a remote application of a dendritic tag encountered in the field, and product information including an indication of authenticity is sent if the models match. Matching occurs by an ad-hoc comparison between nodes in the models, which comparison involves comparing child, parent and sibling nodes.

A nano computing device includes: a nanoparticle memory including a first molecule bound so as to store a molecular input; a nanoparticle reporter including a second molecule bound so as to generate an output; and a nanoparticle floater including at least two third molecules and fourth molecules so as to be bound to one of the nanoparticle memory and the nanoparticle reporter based on the molecular input and an instruction molecule.

Disclosed herein are designed heterodimer proteins, monomeric polypeptides capable of forming heterodimer proteins, protein scaffolds including such polypeptides, and methods for using the heterodimer proteins and subunit polypeptides for designing logic gates.

A weather radar system includes a radio frequency (RF) receiver, an entity detector, and a machine learning circuit. The RF receiver generates a radar data signal based on a received radar return. The entity detector calculates an entity value based on the radar data signal, compares the entity value to a threat detection threshold, and outputs an indication of a threat based on the entity value exceeding the threat detection threshold. The machine learning circuit receives at least one of (1) sensor data regarding an environment about the antenna or (2) platform state data regarding a platform, executes a radar detection model to calculate an updated threat detection threshold based on the radar data signal and the at least one of the sensor data or the platform state data, and provides the updated threat detection threshold to the entity detector to update the entity detector.

Disclosed herein are designed heterodimer proteins, monomeric polypeptides capable of forming heterodimer proteins, protein scaffolds including such polypeptides, and methods for using the heterodimer proteins and subunit polypeptides for designing logic gates.