Mobileye Neural Network Processor Patent, Grant Apr 21
Summary
The USPTO granted Patent US12608587B2 to Mobileye Vision Technologies Ltd. on April 21, 2026, covering a neural network processing method that applies both 2D and 3D kernels across neural network layers. The patent, filed on December 20, 2021 as Application No. 17556229, contains 24 claims and is classified under CPC G06N 3/04, G06N 3/10, and G06F 9/30134. The method involves scanning 2D layer input values with a flattened 2D kernel and storing results in a 3D memory unit, as well as applying 3D kernels to feature vectors for deeper layer processing.
“A method for neural network processing, the method may include applying, by a neural network processor, a group of neural network kernels of respective layers of a neural network to provide neural network output results.”
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GovPing monitors USPTO Patent Grants - AI & Computing (G06N) for new telecom & technology regulatory changes. Every update since tracking began is archived, classified, and available as free RSS or email alerts — 32 changes logged to date.
What changed
The USPTO issued Patent US12608587B2 to Mobileye Vision Technologies Ltd. on April 21, 2026, covering methods and systems for neural network processing using both 2D and 3D kernel operations. The patent describes applying a group of neural network kernels across respective layers of a neural network, with 2D kernels scanning flattened layer input values and storing outputs in a 3D memory unit, and 3D kernels scanning feature vectors of 3D layer inputs. The invention covers 24 claims across three CPC classifications related to neural network architecture.
Technology manufacturers and AI developers utilizing neural network processors should review this patent to assess potential licensing requirements or design-around considerations, particularly for processors implementing kernel-based scanning methods across 2D and 3D layer architectures. The patent's enforcement creates prior art implications for similar neural network processing methods developed after the December 20, 2021 filing date.
Archived snapshot
Apr 23, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Neural network processor
Grant US12608587B2 Kind: B2 Apr 21, 2026
Assignee
Mobileye Vision Technologies Ltd.
Inventors
Yaniv Fais, Avner Strum, Liran Levy
Abstract
A method for neural network processing, the method may include applying, by a neural network processor, a group of neural network kernels of respective layers of a neural network to provide neural network output results. The applying may include applying a (2D) kernel of the group of kernels on 2D layer input values of a first layer of the neural network to provide first layer output values. The applying may include scanning the 2D layer input values with the 2D kernel. The scanning may include flattening the 2D kernel, flattening the 2D layer input values, and storing first layer output values in a 3D memory unit. The applying may also include applying a 3D kernel of the group of kernels, on 3D layer input values of a second layer of the neural network to provide second layer output values, wherein the applying comprises scanning at least one feature vector of the 3D layer input values with at least one vector of the 3D kernel.
CPC Classifications
G06N 3/04 G06N 3/10 G06F 9/30134
Filing Date
2021-12-20
Application No.
17556229
Claims
24
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