Empire Technology Development LLC

Lutronic Vision Inc.

Pepsico, Inc.

The Quaker Oats Company

Microfabrica Inc.

Image Sensing Systems, Inc.

Ezekiel Kruglick

Kevin S Fine

Seth Adrian Miller

Mark Anthony Meloni

Thomas A Yager

Dennis R Smalley

Richard T Chen

Saad J Bedros

Christopher A Bang

Pavel B Lembrikov

Michael J Jaques

Benjamin William Millar

Seth Anderson

Lewis Kruglick

Levi Remily

Aaron Becker

Randall Johnson

Zachary Pearson

James Cikanek

Techniques described include methods, systems, products, devices, and/or apparatuses related to food processing systems related methods, and food items produced therewith. For example, the food processing system may be configured to fabricate food aggregates from multiple food elements. The food processing system includes a first press body and a second press body. The second press body is positioned and oriented opposite to the first press body and reconfigurable from a first configuration to a second, non-planar configuration. The second, non-planar configuration of the press body is different from the first configuration. At least one of the first or second press bodies is movable in a manner that decreases space between the first and second press bodies, to compress the food elements and form the food aggregate. A dispenser of the food elements is positioned and configured to dispense the food elements between the first and second press bodies.

Systems to fabricate food aggregate from food elements and related methods

Technologies relate to imaging a treatment area during laser treatment using a time-gated image capture device and an electronic display. During laser treatment, a physician may monitor a treatment area to ensure efficacy and to prevent over-treatment. Light reflected from the area that includes the treatment area may be detected by an image capture component and converted to a signal. An image processor may then generate image data based on the signal and provide the image data to be displayed on an electronic device. A gating component may send instructions to the image capture component and/or the image processor to prevent inclusion of light from one or more laser pulses generated during treatment. Excluding light from the laser pulses may prevent glare in captured images for allowing a monitoring physician to safely and accurately monitor the treatment area.

Laser ophthalmic treatment system with time-gated image capture component and electronic display

A chamber can be a pathogen control device, which can include a body having at least one internal wall defining an internal chamber, and a layer of a two dimensional material on at least a portion of the at least one internal wall. The two-dimensional material can have at least one edge protruding from the at least one internal wall. A pathogen control system can include the chamber and at least one pressure source operably coupled with an inlet of the internal chamber, and optionally include a depressurization vessel. A method of processing a fluid, such as for controlling pathogens, can include providing the chamber, and flowing a fluid with or without pressurized carbon dioxide or processing fluid through the internal chamber of the chamber to contact an edge of the two-dimensional material. The flow through the chamber can be conducted until at least one pathogen is controlled.

Graphene coated chamber and fluid processing

Technologies are generally described for normalized standard deviation transition based dosimetry monitoring for laser treatment. In some examples, a response signal may be generated based on a physical response to a laser pulse detected through acoustic or optical means. Each response signal may be a time series of data with a number of points. Standard deviation may be determined for each response signal and normalized using a mean or comparable normalization factor. Thus, a robust distribution may be computed from the response to each laser pulse. A change in the normalized standard deviation from each single pulse's time domain response data may be used to determine how many laser pulses remain before completion of the treatment (similar to event onset response). Thus, laser treatment may be continued based on an estimation of remaining pulses for completion or ceased if completion is reached.

Normalized standard deviation transition based dosimetry monitoring for laser treatment

Systems and methods for training and using machine learning models to classify vehicles from highway radar systems are provided. The training systems may use auxiliary radar processing to separate events by lane, length, and/or speed, and then use separate event data groups pooled from similar or proximate lanes, lengths, and/or speeds to train multiple models. At estimation time, incoming events may be grouped using similar groupings as those used during training to select which model to use. An incoming event may be applied to the neural network operations of the selected model to generate an estimate. Generating an estimate may involve successive applications of multiple linear convolutions and other steps along varying or alternating dimensions of the in-process data.

Machine learning based highway radar vehicle classification across multiple lanes and speeds

Technologies related to intermediary graphics rendition are generally described. In some examples, an intermediary computing device may store graphics models in a model store. A server computing device may generate and send a compositing flow to the intermediary computing device. The compositing flow may comprise model identifiers and model rendering information. The intermediary computing device may retrieve models identified in the compositing flow from the model store, and provide the identified models and model rendering information to a Graphics Processing Unit (GPU) for rendering. The GPU may render graphics for delivery via a network to a client device.

Intermediary graphics rendition

Techniques described herein generally relate to a task management system for a chip multiprocessor having multiple processor cores. The task management system tracks the changing instruction set capabilities of each processor core and selects processor cores for use based on the tracked capabilities. In this way, a processor core with one or more failed processing elements can still be used effectively, since the processor core may be selected to process instruction sets that do not use the failed processing elements.

Tracking core-level instruction set capabilities in a chip multiprocessor

Examples are disclosed for a wireless device handoff between a first wireless network and a second wireless network.

Wireless device handoff between wireless networks

Technologies related to multiple variable coverage memory for database indexing are generally described. Disclosed methods may be performed to implement high-speed database access to digital service provider customer data as the digital service provider builds an optimized index for a database. Initially, the digital service provider may maintain an appropriate level of service by keeping a relatively slow performing, basic index in a relatively high performance first memory. As the digital service provider builds the optimized index, the digital service provider may maintain the appropriate level of service by gradually shifting from use of the first memory to the use of a relatively lower performance second memory.

Multiple variable coverage memory for database indexing

The present disclosure generally relates to instruction optimization (or otherwise improved execution of instructions) using voltage-based functional performance variation. In some examples, a method is described that includes instruction optimization (or otherwise improved execution of instructions) using voltage-based functional performance variation. In some examples, the method includes characterizing a workload for a multi-core processor to identify one or more subunits of individual cores of the multi-core processor for utilization by instructions included in the workload, selecting a voltage at which to operate cores of the multi-core processor, and assigning individual ones of the instructions of the workload to a core of the cores of the multi-core processor based on performance of the identified one or more subunits of the individual cores at the selected voltage.

Instruction optimization using voltage-based functional performance variation

Technologies related to scene analysis for improved eye tracking are generally described. In some examples, detected gaze targets may be derived from gaze direction information from an eye-facing sensor. Detected gaze target positions and/or motion may be improved by capturing and analyzing digital scene information from a scene visible by the eye. Digital scene information captured by a digital camera may be analyzed to identify potential gaze targets, such as stationary gaze targets, moving gaze targets, and/or accelerating gaze targets. Detected gaze targets may be modified to positions of selected gaze targets.

Scene analysis for improved eye tracking

In some examples, a computing system may gathering, from a machine learning unit associated with the computing system, data as a training data, label the data to identify the labeled data as the training data, which may be then recirculated for each of one or more analytics modules of the machine learning unit.

Methods and apparatuses for data streaming using training amplification

Techniques described herein generally relate to real time inference based systems. Example embodiments may set forth devices, methods, and computer programs related to search engine inference based virtual assistance. One example method may include a computing device adapted to receive text as input and a computer processor arranged to determine at least one inference regarding subject matter of the text based on one or more web searches of one or more terms within the text. The inference(s) may then be automatically displayed upon the inference(s) being determined. The text may be automatically received as input from a voice-to-text converter as voice-to-text conversion producing the text is occurring.

Search engine inference based virtual assistance

Technologies are generally described for systems, devices and methods effective to generate a message that may be sent to a social network. Power information from an electronic device may be detected by a power detector and received by a processor. For example, a power consumption profile of an appliance may be detected. The processor may classify the power information to produce descriptive data. For example, the processor may determine that an oven has been turned on for a period of time. The processor may generate the message by applying one or more rules to the descriptive data. For example, the processor may generate a message relating to consumption of dinner based on the determination that the oven has been turned on.

Device usage message generator indicative of power consumption of an electronic device

Systems and methods to wirelessly transmit power are provided. A coil assembly is provided. In some examples, the coil assembly is configured to generate a signal in response to an ambient field, and to magnetically couple with a device to deliver power to the device.

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Poway, CA, United States of America

Ezekiel Kruglick