Intel Corporation

Raizy Kellerman

Alexandra Manevitch

Alex Nayshtut

Oleg Pogorelik

Avigdor Dori Eldar

Itamar Fredi Levin

Amos Goldman

Orly Weisel

Noam Teomim

Liad Aben Zour

Guilad Melzer

The present disclosure provides privacy preservation of analytic workflows based on splitting the workflow into sub-workflows each with different privacy-preserving characteristics. Libraries are generated that provide for formatting and/or encrypting data for use in the sub-workflows and also for compiling a machine learning algorithm for the sub-workflows. Subsequently, the sub-workflows can be executed using the compiled algorithm and formatted data.

Analytic workload partitioning for security and performance optimization

Methods, apparatus, systems, and articles of manufacture are disclosed to improve computing system utilization. An example system includes a visual recognition controller to determine whether an infrared image of the device corresponds to a first utilization state of the device based on a machine-learning model, and generate a report including the first utilization state, and at least one processor to execute one or more actions to adjust operation of the device from the first utilization state to a second utilization state based on the report obtained from the visual recognition controller, the second utilization state corresponding to reduced utilization compared to the first utilization state.

Systems, methods, and apparatus to improve computing system utilization

Embodiments are generally directed to non-maximum suppression of features for object detection. An embodiment of an apparatus includes a central processing unit (CPU); a graphical processing unit (GPU), the GPU being capable of a plurality of processing threads; a memory to store data for object detection, including data for detected features within an image; and an object detection algorithm including a non-maximum suppression element. The object detection algorithm is to provide for non-maximum suppression of features that are detected in an image, including the apparatus to divide the image into grid of cells and to provide parallel processing for each feature according to each of one or more cells the feature is located within.

Non-maximum suppression of features for object detection

Systems and methods may provide for obtaining data associated with an image and using a plurality of threads in a graphics processor to conduct a single instruction multiple data (SIMD) scan of the data. Additionally, systems and methods may provide for generating a plurality of connection tables corresponding to the plurality of threads based on the SIMD scan. In one example, a plurality of threads in the graphics processor are used to conduct a single phase merge of the plurality of connection tables onto a global connected components labeling (CCL) table for the image.

Connected component labeling in graphics processors

Growing community of inventors

Jerusalem, Israel

Raizy Kellerman