Aible Inc.

Finisar Corporation

Daniel S Kane

Jonathan W Wray

Arijit Sengupta

Geoffrey Grant

Grigory Nudelman

Lewis B Aronson

Frank H Levinson

William R Freeman

Minh Q Vu

A method includes receiving, via a graphical user interface, data characterizing user input specifying a cost of error of a prediction, a model type requirement, and a computational resource allocation for model development; determining, based on the received data and using a model, a prediction of model performance; and rendering, within the graphical user interface, a plot including a first axis, a second axis, and a region characterizing the determined prediction of model performance, the first axis including a characterization of a first performance metric and the second axis including a characterization of a second performance metric. Related apparatus, systems, techniques and articles are also described.

Interface for visualizing and improving model performance

A method includes monitoring performance of a generated model while the generated model is being used for classification on live data, the monitoring including determining a first performance value of the generated model at a first point in time and determining a second performance value of the generated model at a second point in time; rendering, within a graphical user interface, a plot including a first axis and a second axis, the first axis including a characterization of a first performance metric and the second axis including a characterization of a second performance metric; and rendering, within the graphical user interface and the plot, a first graphical object at a first location characterizing the first performance value and a second graphical object at a second location characterizing the second performance value. Related apparatus, systems, techniques and articles are also described.

A method includes receiving, via a model building platform, historical user behavior including historical data analysis characteristics; generating, based on the historical data analysis characteristics, a blueprint for guiding user action to accomplish a task, the generating including constructing the blueprint using the historical data analysis characteristics; receiving, via graphical user interface, user input requesting generation of a model and a task description; determining, using the blueprint and based on the task description, data analysis characteristics; and rendering, within the graphical user interface, a prompt to select the determined data analysis characteristics. Related apparatus, systems, techniques and articles are also described.

Interface for generating models with customizable interface configurations

Performance of a first generated model can be monitored while the first generated model is deployed for use on live data. The monitoring can include determining a first performance value of the first generated model. Performance of a second generated model can be monitored while the second generated model is deployed for use on live data. The monitoring can include determining a second performance value of the second generated model. A plot including a first axis and a second axis can be rendered. The first axis can include a characterization of a first performance metric and the second axis can include a characterization of a second performance metric. A first graphical object at a first location characterizing the first performance value and a second graphical object at a second location characterizing the second performance value can be rendered. Related apparatus, systems, techniques and articles are also described.

A method includes receiving data characterizing a target accuracy and a performance metric of a model; rendering, within a graphical user interface display space, a plot including a first axis and a second axis, the first axis including a characterization of false positive and the second axis including a characterization of false negative; and rendering, within the graphical user interface display space and within the plot, a graphical object at a location characterizing the performance metric and a visualization indicative of the target accuracy. Related apparatus, systems, techniques and articles are also described.

A laser apparatus, which generates laser light to be transmitted through an optical transmission system includes a laser that emits light that is substantially linearly polarized, a housing in which the laser is mounted, and a quarter wave retarder plate. The quarter wave retarder plate is disposed so that the emitted laser light passes through the quarter wave retarder plate prior to transmission of the emitted laser light through the optical transmission system. The quarter wave retarder plate causing the emitted laser light to become circularly polarized with a predefined handedness. The quarter wave retarder plate is also disposed so that light reflected by the optical transmission system back toward the laser passes through the quarter wave retarder plate a second time prior to reaching the laser, causing the reflected light to become linearly polarized with a linear polarization that is orthogonal to the polarization state of the light emitted by the laser. In one embodiment, a linear polarizer is positioned adjacent a front face of the quarter wave retarder plate. The linear polarizer imposes a particular linear polarization orientation on the emitted laser light, and blocks the reflected light that passes through the quarter wave retarder plate because that light has a linear polarization that is orthogonal to the polarization axis of the linear polarizer.

Fiber optic laser transmitter with reduced near end reflections

A dual optical fiber transceiver, for use with first and second optical fibers, includes a laser transmitter for transmitting laser light into the first optical fiber, a laser light receiver for receiving laser light from the second optical fiber, and a controller coupled to the laser transmitter and laser light receiver. The controller includes a multi-protocol state machine for establishing the full duplex connection whenever the other device operates in compliance with either (A) a predefined 'on-off-on' signaling protocol for establishing full duplex connections, or (B) a second predefined signaling protocol for establishing full duplex connections. In a preferred embodiment, the predefined 'on-off-on' signaling protocol is the Open Fiber Control (OFC) protocol and the second predefined signaling protocol is a standard 'laser transmitter always on' protocol. In the preferred embodiment, the multi-protocol state machine disables operation of the laser transmitter whenever a loss of light condition is detected by the transceiver's laser light receiver that is not in compliance with the OFC protocol.

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San Francisco, CA, United States of America

Daniel S Kane