Intel had 289 patents in artificial intelligence during Q2 2024. Intel Corp’s patents in Q2 2024 focus on innovative technologies such as epipolar scan line neural processor arrays for event detection, audio processing using neural networks, improving wireless communication in user devices, generating digital twins for heat distribution modeling, and determining data processing based on reliability metrics. GlobalData’s report on Intel gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Intel had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Epipolar scan line neural processor arrays for four-dimensional event detection and identification (Patent ID: US20240214694A1)
The patent filed by Intel Corp. discloses systems and methods for implementing epipolar scan line neural processor arrays for four-dimensional event detection and identification. The apparatus described in the patent generates left and right epipolar image data from input image data, processes this data using neural processors to detect events, and outputs data packets representing the detected events. The neural processors in the apparatus are organized in a neural processor array, with each processor having input, hidden, and output layers to analyze epipolar scan lines and detect events, including generating disparity vectors and identifying different types of events such as chromatic, spatial, or dual chromatic and spatial events.
Furthermore, the patent describes the use of programmable circuitry, including central processing units, graphics processing units, digital signal processors, Field Programmable Gate Arrays (FPGAs), or Application Specific Integrated Circuits (ASICs), to control data movement, perform operations, and store results within the apparatus. Additionally, the patent covers non-transitory machine-readable storage mediums containing instructions for generating epipolar image data, processing it with neural processors, and outputting data structures representing detected events. The method outlined in the patent involves generating epipolar image data, processing it with neural processors to detect events, and transmitting data packets to a computer vision application, with the processing steps including applying scan lines to input layers, processing outputs with hidden layers, and obtaining event vectors with output layers, which may include disparity vectors and information about the types of events detected.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
