STMicroelectronics grant share with artificial intelligence as a theme is 57% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Artificial neuron network having at least one unit cell quantified in binary (Patent ID: US20240095502A1)

The patent filed by STMicroelectronics NV describes an artificial neural network architecture that includes a unit cell with specific components such as binary two-dimensional convolution layers, batch normalization layers, and concatenation layers. The unit cell processes input tensors to generate output tensors through a series of operations involving convolution, normalization, and concatenation. The network architecture can include multiple unit cells arranged in succession to perform complex data processing tasks efficiently.

The claims associated with the patent detail the specific configurations and functionalities of the components within the artificial neural network, such as depthwise and pointwise convolutions, attribute extraction layers, classification layers, and detection layers. The network architecture can be implemented in various forms, including as a computer program product or a device with processing circuitry. The method outlined in the patent involves a step-by-step process of generating tensors within the unit cell using convolution, normalization, and concatenation operations, highlighting the innovative approach to neural network design presented in the patent.

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