Abstract: A capacitive probe structure is presented including two or more microfluidic channels defined within a plurality of dielectric layers disposed over a substrate, and a plurality of probes extending through the plurality of dielectric layers such that several probes of the plurality of probes extend to the two or more microfluidic channels to measure at least particle concentrations and particle flow within the two or more microfluidic channels. The plurality of probes are physically and electrically isolated from each other by the plurality of dielectric layers. The plurality of probes further measure a dielectric constant change for conducting and non-conducting liquids and gasses within the two or more microfluidic channels.

Abstract: A gem imaging system includes a stage having a platform configured to hold an object. The system further includes a light source configured to illuminate the object. The system further includes a housing configured to at least partially enclose the object. The housing is configured to position a mobile device such that a camera lens of the mobile device is aligned with the object.

Abstract: A gem imaging system includes a stage having a platform configured to hold an object. The system further includes a light source configured to illuminate the object. The system further includes a housing configured to at least partially enclose the object. The housing is configured to position a mobile device such that a camera lens of the mobile device is aligned with the object.

Abstract: In an embodiment, a gem imaging system includes a stage having a platform configured to hold an object. In an embodiment, the system further includes a light source configured to illuminate the object. In an embodiment, the system further includes a housing configured to at least partially enclose the object, wherein the housing is configured to position a mobile device such that a camera lens of the mobile device is aligned with the object.

Abstract: Techniques are provided detecting diluted drugs using machine learning. Measurements and images corresponding to a product are obtained, wherein the product is formulated as a liquid, and wherein the measurements and images capture physical, spectral, optical, and/or chemical properties of the product. The measurements and images are provided to a machine learning model, wherein the machine learning model is trained using data generated from interactive learning modules (e.g., a generative adversarial network). The machine learning model detects whether the product or chemical is a real or counterfeit product. In addition, these techniques may be used by practitioners (e.g., medical personnel dispensing a prescribed dosage of a drug with a specific dilution level) to detect prescription errors at the point of administration.

Abstract: Techniques are provided for detecting counterfeit products. Measurements and images corresponding to a product are obtained, wherein at least a portion of the measurements or images are obtained from a mobile/IoT/IoB device. The measurements and images are provided to a trained machine learning model to progressively analyze the measurements and images. Based on the progressive analysis, a determination/prediction is made with an associated confidence score as to whether the product is real or counterfeit.

Abstract: A method, a computer program product, and a computer system for classifying bacteria. The method comprises extracting a morphology signature corresponding to one or more bacteria and extracting a motility signature corresponding to the one or more bacteria. The method further comprises merging the morphology signature and the motility signature into a merged vector signature and classifying the one or more bacteria based on the merged vector signature.

Abstract: An approach for providing a cap with an embedded high-resolution lens and a sampling insert that is used during an authentication of a composition of a liquid in a container sealed by the cap. The cap has a top portion of a cap with an opening, a sampling insert inside the opening in the top portion of the cap, and a high-resolution lens inside an opening in the sampling insert.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for mapping one or more inclusions in a mineral crystal. A set of image data associated with the mineral crystal is receiving. The received set of image data is analyzed. One or more inclusions associated with the mineral crystal is identified based on the analyzed image data. The identified one or more inclusions of the mineral crystal are mapped to a tree structure representing the surface of the mineral crystal. The mapped one or more inclusions are encoded as a chain-code associated with the mineral crystal. A radial distance between a center of mass value of the mineral crystal and a center of mass value of the identified one or more inclusions is calculated and a mineral crystal fingerprint is generated.

Abstract: An example operation may include one or more of scanning, by a mobile node, a physical object to generate a scan data, extracting, by the mobile node, a set of features from the scan data, generating, by the mobile node, a feature vector based on the set of the features, applying, by the mobile node, a cryptographic hash function to the feature vector to produce a hash value, encrypting, by the mobile node, the set of the features with the hash value, and executing a smart contract to store the encrypted set of the features on a blockchain.

Abstract: A first series of images of a first fluid is received. A first set of fluid characteristics of the first fluid is determined from the first series of images. A second series of images of a second fluid is received. A second set of fluid characteristics of the second fluid is determined from the second series of images. A match is determined to be found between the first set of fluid characteristics and the second set of fluid characteristics. The second fluid is identified based upon determining that the first set of fluid characteristics matches the second set of fluid characteristics.

Abstract: A capacitive sensor array for in-situ monitoring directed self-assembly of a self-assembling material is provided. The capacitive sensor array includes a bottom electrode plate including a plurality of bottom electrodes that are spaced apart and electrically isolated from one another, template structures located on the bottom electrode plate, wherein the template structures define trenches therebetween, each of the trenches exposing at least one of the plurality of bottom electrodes; and a top electrode plate assembled on the bottom electrode plate, wherein the top electrode plate includes a plurality of top electrodes that are spaced apart and electrically isolated from one another, the top electrodes facing and intersecting, but electrically isolated from, the bottom electrodes.

Abstract: Techniques are provided detecting diluted drugs using machine learning. Measurements and images corresponding to a product are obtained, wherein the product is formulated as a liquid, and wherein the measurements and images capture physical, spectral, optical, and/or chemical properties of the product. The measurements and images are provided to a machine learning model, wherein the machine learning model is trained using data generated from interactive learning modules (e.g., a generative adversarial network). The machine learning model detects whether the product or chemical is a real or counterfeit product. In addition, these techniques may be used by practitioners (e.g., medical personnel dispensing a prescribed dosage of a drug with a specific dilution level) to detect prescription errors at the point of administration.

Abstract: Techniques are provided for detecting counterfeit products. Measurements and images corresponding to a product are obtained, wherein at least a portion of the measurements or images are obtained from a mobile/IoT/IoB device. The measurements and images are provided to a trained machine learning model to progressively analyze the measurements and images. Based on the progressive analysis, a determination/prediction is made with an associated confidence score as to whether the product is real or counterfeit.

Abstract: A gemstone detection method is provided and includes using a camera to generate a set of training pictures illustrating three-dimensional features of a gemstone cut with a pattern. Each training picture in the set of training pictures includes facets of and inclusions within the gemstone visible along a point-of-view (POV) through the gemstone. The gemstone detection method further includes generating a trained neural network by training an untrained neural network using the set of training pictures and a set of training sketches of edges of the facets of the gemstone generated from the set of training pictures and using the trained neural network to iteratively generate machine-generated drawings from the set of training pictures. Each of the machine-generated drawings identifies edges of the facets of the gemstone. In addition, the gemstone detection method includes combining the set of machine-generated drawings into a three-dimensional model.

Abstract: The present application provides devices, systems and methods for detecting the presence and/or length of an analyte. More specifically, the present application is directed to a structure and system that includes a micro-capacitive sensor array for detecting the presence of an analyte in a sample and determining the length and/or composition of an analyte, such as a nucleic acid, as well as methods for using the same.

Abstract: A method, a computer program product, and a computer system for classifying bacteria. The method comprises extracting a morphology signature corresponding to one or more bacteria and extracting a motility signature corresponding to the one or more bacteria. The method further comprises merging the morphology signature and the motility signature into a merged vector signature and classifying the one or more bacteria based on the merged vector signature.

Abstract: A method, structure and system for capacitive sensing is provided. A system includes: a two-dimensional electrode structure, wherein the two-dimensional sensing structure includes a channel for capacitive sensing, at least one integrated circuit connected to the two dimensional sensing structure and configured to mitigate external interference associated with the capacitive sensing by i) receiving a input signal from the two-dimensional electrode structure or ii) providing a select signal to the two-dimensional structure, and a data acquisition device connected to the two-dimensional electrode structure via the integrated circuit configuration and configured to receive an output signal from the integrated circuit.

Abstract: A gemstone detection method is provided and includes using a camera to generate a set of training pictures illustrating three-dimensional features of a gemstone cut with a pattern. Each training picture in the set of training pictures includes facets of and inclusions within the gemstone visible along a point-of-view (POV) through the gemstone. The gemstone detection method further includes generating a trained neural network by training an untrained neural network using the set of training pictures and a set of training sketches of edges of the facets of the gemstone generated from the set of training pictures and using the trained neural network to iteratively generate machine-generated drawings from the set of training pictures. Each of the machine-generated drawings identifies edges of the facets of the gemstone. In addition, the gemstone detection method includes combining the set of machine-generated drawings into a three-dimensional model.

Abstract: The present application provides devices, systems and methods for detecting the presence and/or length of an analyte. More specifically, the present application is directed to a structure and system that includes a micro-capacitive sensor array for detecting the presence of an analyte in a sample and determining the length and/or composition of an analyte, such as a nucleic acid, as well as methods for using the same.