Abstract: A system or method trains and implements a machine learning model for object detection. A first computing device remote to a vehicle trains a machine learning model by receiving a decoded set of previously encoded training image data and training the machine learning model to detect objects within images based on the decoded set of training image data. A processor of a second computing device encodes at least one image captured by a camera, decodes the encoded image, and executes the machine learning model to extract a set of objects from the decoded image.

Abstract: An IoT environment including at least one source configured to provide IoT data associated with at least one asset of at least one industrial plant, at least one user device; and a cloud computing system communicatively coupled to the at least one source and the at least one user device. The cloud computing system configures a digital twin corresponding to at least one of the asset and a production process associated with the industrial plant based on the IoT data received from the source. Further, at least one data package is generated based on the configured digital twin upon receiving a request for accessing the digital twin from the user device. The at least one data package is transmitted to the user device, for enabling the user device to perform one or more simulations based on the data package.

Abstract: Systems and methods for locating the end of a keyword in voice sensing are provided. An example method includes receiving an acoustic signal that includes a keyword portion immediately followed by a query portion. The acoustic signal represents at least one captured sound. The method further includes determining the end of the keyword portion. The method further includes, separating, using the end of the keyword portion, the query portion from the keyword portion of the acoustic signal. The method further includes providing the query portion, absent any part of the keyword portion, to an automatic speech recognition (ASR) system.

Abstract: A memory array includes a number of word lines, with each word line coupled to a word line driver for memory write operations and a word line driver for memory read operations. A decode stage includes write logic for each word line and read logic for each word line. A word line driver stage includes a write word line driver and a read word line driver. The write logic for at least one world line is configured to enable the write word line driver for a memory write operation of the word line while prohibiting the read word line logic from enabling the read word line driver for a memory read operation of the word line.

Abstract: A memory array includes a number of word lines, with each word line coupled to a word line driver for memory write operations and a word line driver for memory read operations. A decode stage includes write logic for each word line and read logic for each word line. A word line driver stage includes a write word line driver and a read word line driver. The write logic for at least one world line is configured to enable the write word line driver for a memory write operation of the word line while prohibiting the read word line logic from enabling the read word line driver for a memory read operation of the word line.