Abstract:
A phase change memory cell and a method for fabricating the phase change memory cell. The phase change memory cell includes a bottom electrode and a first non-conductive layer. The first non-conductive layer defines a first well, a first electrically conductive liner lines the first well, and the first well is filled with a phase change material in the phase change memory cell. A second non-conductive layer is deposited above the first non-conductive layer. A second well is defined by the second non-conductive layer and positioned directly above the first well. A second electrically conductive liner lines at least one wall of the second well such that the second electrically conductive liner is not in physical contact with the first electrically conductive liner. Furthermore, the phase change material is deposited in the second well.
Abstract:
A phase change memory cell and a method for fabricating the phase change memory cell. The phase change memory cell includes a bottom electrode and a first non-conductive layer. The first non-conductive layer defines a first well, a first electrically conductive liner lines the first well, and the first well is filled with a phase change material in the phase change memory cell.
Abstract:
A method for fabricating semiconductor features. The method includes forming a first layer over a substrate. Forming a plurality of first holes in the first layer. The first layer includes sidewalls separating at least a portion of each first hole. The first holes include overlapping holes that are not separated by the sidewalls. Forming a plurality of spacers on the substrate and first layer. The spacers include spacer sidewalls separating adjacent overlapping holes. Etching exposed portions of the substrate to form a plurality of second holes.
Abstract:
A phase change memory cell and a method for fabricating the phase change memory cell. The phase change memory cell includes a bottom electrode and a first non-conductive layer. The first non-conductive layer defines a first well, a first electrically conductive liner lines the first well, and the first well is filled with a phase change material in the phase change memory cell.
Abstract:
A method, a computer program product, and a computer system run an inference model with a graphical processing unit (GPU) having a restrained resource. The method includes receiving an input to run a sequential inference process comprising a plurality of layers. The method comprises determining inference model information. The method comprises determining a count (M) of the layers for each step to load and run based on the inference model information. The method comprises determining allocations in the available GPU memory configured for data associated with the M layers, a step input and a step output, and intermediate information. The method comprises loading and running the M layers using the step input to calculate the step output. The method comprises generating the intermediate information for the step output for a subsequent step to utilize the step output as a further step input in the subsequent step.
Abstract:
A method, a system and a computer program product may evaluate reduction of disease risk. Patient data of a patient may be received. A selection of a disease outcome may be received. A risk score that the patient will experience the selected disease outcome may be determined. The determining may use the patient data. Intervention options may be generated based on the patient data and by accessing a medical record data structure. An intervention effect for each of the intervention options may be determined. The intervention effect may change the risk score. The intervention effects may be compared. A recommendation of at least one of the intervention options may be provided based on the comparing of the intervention effects.
Abstract:
Embodiments of the invention include a computer-implemented method that uses a processor to access cryptographic-function constraints associated with an encrypted message. Based on a determination that the cryptographic-function constraints do not include mandatory cryptographic computing resource requirements, first resource-scaling operations are performed that include an analysis of cryptographic metrics associated with a processor. The cryptographic metrics include information associated with the encrypted message, along with performance measurements of cryptographic functions performed by the processor. The cryptographic-function constraints and results of the analysis of the cryptographic metrics are used to determine cryptographic processing requirements of the encrypted message; and match the cryptographic processing requirements to selected ones of a set of cryptographic computing resources to identify a customized set of cryptographic computing resources matched to cryptographic processing requirements of the encrypted message. The customized set of cryptographic computing resources is used to perform customized cryptographic functions on the encrypted message.
Abstract:
A method, device, and computer program storage product for generating a query to extract clinical features into a set of electronic medical record (EMR) tables based on clinical knowledge. A knowledge tree is constructed according to a set of clinical knowledge data. An EMR graph corresponding to a set of EMR tables is obtained. The EMR graph comprises at set of table nodes and a set of attribute nodes. The set of table nodes and the set of attribute nodes represent a structure of each EMR table in the set of EMR tables and a reference relationship among attributes of set of EMR tables. A plurality of sub-queries is generated based on the knowledge tree and the EMR graph. At least one query is generated by combining the plurality of sub-queries according to the knowledge tree.
Abstract:
A method, device, and computer program storage product for generating a query to extract clinical features into a set of electronic medical record (EMR) tables based on clinical knowledge. A knowledge tree is constructed according to a set of clinical knowledge data. An EMR graph corresponding to a set of EMR tables is obtained. The EMR graph comprises at set of table nodes and a set of attribute nodes. The set of table nodes and the set of attribute nodes represent a structure of each EMR table in the set of EMR tables and a reference relationship among attributes of set of EMR tables. A plurality of sub-queries is generated based on the knowledge tree and the EMR graph. At least one query is generated by combining the plurality of sub-queries according to the knowledge tree.
Abstract:
A method for detecting deviations between an event log and a process model includes converting the process model into a probability process model, the probability process model comprising multiple nodes in multiple hierarchies and probability distribution associated with the multiple nodes, a leaf node among the multiple nodes corresponding to an activity in the process model; detecting differences between at least one event sequence contained in the event log and the probability process model according to a correspondence relationship; and identifying the differences as the deviations in response to the differences exceeding a predefined threshold; wherein the correspondence relationship describes a correspondence relationship between an event in one event sequence of the at least one event sequence and a leaf node in the probability process model.