Intel Corporation

Paul Hough

Eric R Auzas

Rita Chattopadhyay

Bradut Vrabete

Laurent Coquerel

Gabriel Lawrence Silva

Kevin Lowell Hudson

Trevor Ryan

Hoang Van

Technologies for error recovery in compressed data streams include a compute device configured to compress uncompressed data of an input stream to generate compressed data, perform a compression error check on the compressed data to verify integrity of the compressed data, and determine, as a result of the performed compression error check, whether the compressed data included a compression error. The compute device is further configured to transfer, in response to a determination that the performed compression error check indicated that the compressed data included the compression error, the uncompressed data into a destination buffer, and store an indication with the uncompressed data into the destination buffer, wherein the indication is usable to identify that the uncompressed data has been transferred into the destination buffer. Other embodiments are described herein.

Technologies for error detection in compressed data streams

Various systems and methods for providing a vending machine interface system are provided herein. A vending machine interface system installed in a vending machine includes a peripheral interface to receive data from a peripheral payment device connected to the vending machine, the data indicating an amount received; an inventory interface to determine a current price of a product; and a vending machine controller interface to transmit a signal to a legacy vending machine controller, the signal causing the vending machine to dispense the product.

Vending machine interface

The present disclosure is directed to a system for determining scaling in a boiler. At least one sensor may monitor a boiler during operation and provide sensor data to a boiler monitoring module including a boiler scaling determination module that may determine an amount of scaling in the boiler. Example sensor data may comprise power input, a temperature of liquid in the boiler and an air temperature within an enclosure housing the boiler. The boiler monitoring module may determine thermal energy transfer to the boiler based on the liquid and enclosure temperatures. A machine learning engine may determine a rate of thermal energy transfer to the liquid in view of the power input, the rate of thermal energy transfer being evaluated by the machine learning engine to identify delay in the rate of thermal energy transfer that quantifies an amount of scaling in the boiler.

System for determining scaling in a boiler

Systems, apparatuses and methods may provide for determining, at runtime, one or more deviations of a peripheral device from a common interface based on one or more configuration files and translating one or more communications between the peripheral device and an application in accordance with the one or more deviations. In one example, a level of quality of a product dispensed by a system containing the peripheral device may be determined based on the communications. Moreover, a failure of the system may be predicted based on the communications.

Universal controller to support remote monitoring of system and/or machine health

Apparatuses, systems and methods associated with infrared image based facial analysis are disclosed herein. In embodiments, an apparatus may include one or more processors and facial analysis circuitry to be operated by the one or more processors. The facial analysis circuitry may receive an infrared image of a subject from an infrared capture device and may identify a plurality of analysis regions of the infrared image, wherein the plurality of analysis regions correspond to portions of a face of the subject. The facial analysis circuitry may further determine respective mean temperatures of the plurality of analysis regions and determine a skin tone of the subject based, at least in part, on the respective mean temperatures of the plurality of analysis regions.

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Shannon, Ireland

Paul Hough