Abstract: Embodiments of the disclosure are in the field of advanced integrated circuit structure fabrication and, in particular, 10 nanometer node and smaller integrated circuit structure fabrication and the resulting structures. In an example, an integrated circuit structure includes a first plurality of conductive interconnect lines in and spaced apart by a first ILD layer, wherein individual ones of the first plurality of conductive interconnect lines comprise a first conductive barrier material along sidewalls and a bottom of a first conductive fill material. A second plurality of conductive interconnect lines is in and spaced apart by a second ILD layer above the first ILD layer, wherein individual ones of the second plurality of conductive interconnect lines comprise a second conductive barrier material along sidewalls and a bottom of a second conductive fill material, wherein the second conductive fill material is different in composition from the first conductive fill material.

Abstract: A catheter assembly is provided having a working lumen and a guide. The guide is configured to position a fragmentizing device within the working lumen. The guide is configured to prevent or minimize any unintended movement of a distal section of the fragmentizing device within the working lumen when the distal section of the fragmentizing device is positioned at a distal end of the working lumen.

Abstract: Provided is a training system that performs training of a machine learning model that generates an impressing content or estimates a camera operation for capturing an impressing content. The training system includes: a data collection device that collects data; and a training device that performs training of a machine learning model by using the data collected by the data collection device, in which the training device performs re-training of the machine learning model by using learning data that affects the training of the machine learning model to a predetermined degree or more, insufficient learning data, or data similar thereto, collected on the basis of a result of analyzing learning data that affects the training of the machine learning model.

Abstract: A bias adjustment device uses an identification model developed by machine learning using training data, and includes a calculation unit that calculates first identification accuracy of the identification model trained on first training data and second identification accuracy of the identification model trained on second training data acquired by an adjustment of the number of pieces of data of the first training data, a prediction unit that predicts a change in identification accuracy with respect to the number of pieces of training data on the basis of the first identification accuracy and the second identification accuracy, and a control unit that adjusts the number of pieces of data used for the training or changes the identification model, on the basis of the predicted change in the identification accuracy, in such a manner that the predicted change in the identification accuracy becomes a predetermined target value.

Abstract: To provide an information processing device, an information processing method, and a computer program that assist a device operation of a user. An information processing device includes an input unit that receives input from a user, and a presentation unit that presents information regarding a command for operating a predetermined device on the basis of the input. The input unit receives input by at least one of voice or gesture from a user. The presentation unit presents a candidate of a command including at least one of voice or gesture and partially matching the input.

Abstract: A method of measuring at least one biomechanical property of a reproductive cellular structure is provided. The method includes illuminating the reproductive cellular structure with radiation; detecting at least a portion of radiation scattered from the illuminated reproductive cellular structure; analyzing a frequency spectrum of the detected scattered radiation to identify at least one Brillouin frequency shift in the frequency spectrum; and determining the at least one biomechanical property based on the Brillouin frequency shift. The method further includes determining a viability index of the reproductive cellular structure based on the at least one biomechanical property.

Abstract: There is provided a control device, a control method, and a program that can prevent failure of an operation of a robot. The control device according to an aspect of the present technology includes a state transition determination section that controls an operation of a robot to perform a predetermined process before a task results in failure in a case where a state transition of the robot in performing the task follows a failure state transition that is preset as a state transition that results in the failure of the task. The present technology can be applied to a robot capable of autonomous operation.

Abstract: The present technology relates to a control device, a control method, and a program that enable the action of a movable body to be planned in accordance with the value of a peripheral object. The control device according to an embodiment of the present technology estimates a value of an object at the periphery of a movable body on the basis of sensor data detected by the movable body, and plans an action of the movable body on the basis of the value of the object estimated. The present technology is applicable to robots capable of acting autonomously.

Abstract: Systems and methods are disclosed for generating an elastic stiffness map for a volume of an ophthalmic tissue of an eye of a patient. Exemplary systems and methods involve a laser assembly, an optical scanning assembly, an objective lens assembly, a beam control assembly, an eye camera assembly, and a Brillouin spectrometer assembly. Systems and methods can operate to transmit x,y coordinate scan control signals to the optical scanning assembly, transmit z coordinate scan control signals to the objective lens assembly, and generate the elastic stiffness map for the volume of the ophthalmic tissue of the eye based on Brillouin signals generated by a Brillouin spectrometer of the Brillouin spectrometer assembly.