Abstract: Methods and systems for coordinating pulse powers and focal positions of laser beam pulses used to form a subsurface optical structure. Focal positions for a sequence of laser beam pulses may be stored in a scanning controller configured for controlling operation of a scanning assembly to scan the sequence of laser beam pulses to focal positions in the ophthalmic lens. A memory associated with a power controller may store pulse power data values corresponding to pulse powers for the sequence of laser beam pulses. The power controller can control a pulse power control assembly based on the pulse power data values. Operation of the scanning controller may be synchronized with operation of the power controller during scanning of the sequence of laser beam pulses to the focal positions in the ophthalmic lens via communication of one or more trigger signals between the scanning controller and the power controller.

Abstract: A graphical user interface for music creation applications, such as score notation applications and digital audio workstations, includes multi-dimensional gestures. To enter a sound event into a musical project, a user uses an input device to select and drag a desired sound event in one or more dimensions. The relative position or rate of movement along a given dimension defines a value of a sound event parameter allocated to the given dimension. The sound event is entered into the project when the selection is released. The user inputs the gesture using a pointing device such as a mouse, stylus with a touch screen, or finger on a touch screen. Stylus dimensions mapped to sound event parameters may include, horizontal and vertical stylus tip positions, vertical and horizontal tilt of the stylus, and stylus tip pressure. Sound event parameters controlled by the gestures may include diatonic pitch, chromatic inflection, and duration.

Abstract: Calibration of laser pulse powers used to form subsurface optical structures in an ophthalmic lens is accomplished via generation of a feedback signal indicative of pulse energy absorption. A system for forming subsurface optical structures within an ophthalmic lens includes a laser pulse source, a laser pulse power control assembly, a scanning assembly, a detector, and a control unit. The laser pulse power control assembly is operable to selectively control an energy of respective laser pulses. The detector is configured to generate a feedback signal indicative of an energy absorbed by the ophthalmic lens from a first laser pulse. The control unit is configured to control operation of the laser pulse power control assembly to selectively control an energy of a second laser pulse based on a selected energy of the second laser pulse, a selected energy of the first laser pulse, and the feedback signal.

Abstract: Automatic editing of media compositions is performed using media editing applications equipped with neural-network-based deep-learning models. The automatic editing is adapted to the practices of local users of a media editing application by training the models on a combination of media compositions previously edited by third-party media editors and media compositions edited by local users. Training data input vectors for the model comprise representative portions of a composition's raw media, and corresponding output vectors include values of parameters that define editing functions applied to the raw media to generate an edited media composition. A user interface enabling a user to adjust and monitor machine learning parameters is provided. Adaptive automatic editing may assist in the creation of video and audio compositions, as well as in the generation of musical scores.

Abstract: A graphical user interface for music creation applications, such as score notation applications and digital audio workstations, includes multi-dimensional gestures. To enter a sound event into a musical project, a user uses an input device to select and drag a desired sound event in one or more dimensions. The relative position or rate of movement along a given dimension defines a value of a sound event parameter allocated to the given dimension. The sound event is entered into the project when the selection is released. The user inputs the gesture using a pointing device such as a mouse, stylus with a touch screen, or finger on a touch screen. Stylus dimensions mapped to sound event parameters may include, horizontal and vertical stylus tip positions, vertical and horizontal tilt of the stylus, and stylus tip pressure. Sound event parameters controlled by the gestures may include diatonic pitch, chromatic inflection, and duration.

Abstract: Automatic editing of media compositions is performed using media editing applications equipped with neural-network-based deep-learning models. The automatic editing is adapted to the practices of local users of a media editing application by training the models on a combination of media compositions previously edited by third-party media editors and media compositions edited by local users. Training data input vectors for the model comprise representative portions of a composition's raw media, and corresponding output vectors include values of parameters that define editing functions applied to the raw media to generate an edited media composition. A user interface enabling a user to adjust and monitor machine learning parameters is provided. Adaptive automatic editing may assist in the creation of video and audio compositions, as well as in the generation of musical scores.

Abstract: Automatic editing of media compositions is performed using media editing applications equipped with neural-network-based deep-learning models. The automatic editing is adapted to the practices of local users of a media editing application by training the models on a combination of media compositions previously edited by third-party media editors and media compositions edited by local users. Training data input vectors for the model comprise representative portions of a composition's raw media, and corresponding output vectors include values of parameters that define editing functions applied to the raw media to generate an edited media composition. A user interface enabling a user to adjust and monitor machine learning parameters is provided. Adaptive automatic editing may assist in the creation of video and audio compositions, as well as in the generation of musical scores.

Abstract: Automatic editing of media compositions is performed using media editing applications equipped with neural-network-based deep-learning models. The automatic editing is adapted to the practices of local users of a media editing application by training the models on a combination of media compositions previously edited by third-party media editors and media compositions edited by local users. Training data input vectors for the model comprise representative portions of a composition's raw media, and corresponding output vectors include values of parameters that define editing functions applied to the raw media to generate an edited media composition. A user interface enabling a user to adjust and monitor machine learning parameters is provided. Adaptive automatic editing may assist in the creation of video and audio compositions, as well as in the generation of musical scores.

Abstract: An air tool comprising a barrel; a main body portion from which the barrel extends; a sleeve secured to an exterior of the barrel, the sleeve connected to the barrel by a retaining ring wherein the sleeve provides for a gripping location by an operator and wherein the retaining ring facilitates rotation of the sleeve relative to the barrel when the tool is operation.

Abstract: An air tool comprising a barrel; a main body portion from which the barrel extends; a sleeve secured to an exterior of the barrel, the sleeve connected to the barrel by a retaining ring wherein the sleeve provides for a gripping location by an operator and wherein the retaining ring facilitates rotation of the sleeve relative to the barrel when the tool is operation.