Abstract: The present disclosure is related to framework for automatically and efficiently finding machine learning (ML) architectures that are optimized to one or more specified performance metrics and/or hardware platforms. This framework provides ML architectures that are applicable to specified ML domains and are optimized for specified hardware platforms in significantly less time than could be done manually and in less time than existing ML model searching techniques. Furthermore, a user interface is provided that allows a user to search for different ML architectures based on modified search parameters, such as different hardware platform aspects and/or performance metrics. Other embodiments may be described and/or claimed.

Abstract: The present disclosure is related to framework for automatically and efficiently finding machine learning (ML) architectures that are optimized to one or more specified performance metrics and/or hardware platforms. This framework provides ML architectures that are applicable to specified ML domains and are optimized for specified hardware platforms in significantly less time than could be done manually and in less time than existing ML model searching techniques. Furthermore, a user interface is provided that allows a user to search for different ML architectures based on modified search parameters, such as different hardware platform aspects and/or performance metrics. Other embodiments may be described and/or claimed.

Abstract: A protective garment assembly can include an elongate main portion having a length that extends between first and second ends. The main portion can include an upper fabric layer and a lower fabric layer. At least one energy-absorbing layer can be arranged between the upper and lower fabric layers and can extend at least partially between the first and second ends. At least one high-strength strip can be arranged between the upper and lower fabric layers adjacent to the at least one energy-absorbing layer. A plurality of armor elements can be arranged between the upper and lower fabric layers adjacent to the at least one energy-absorbing layer and the at least one high-strength strip.

Abstract: The present disclosure is related to framework for automatically and efficiently finding machine learning (ML) architectures that are optimized to one or more specified performance metrics and/or hardware platforms. This framework provides ML architectures that are applicable to specified ML domains and are optimized for specified hardware platforms in significantly less time than could be done manually and in less time than existing ML model searching techniques. Furthermore, a user interface is provided that allows a user to search for different ML architectures based on modified search parameters, such as different hardware platform aspects and/or performance metrics. Other embodiments may be described and/or claimed.

Abstract: Described is apparatus comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may have an output coupled to a shared-read-data signal path, and the first circuitry either driving its output to a value based on a sensed memory bit, or not driving its output. The second circuitry may have a first clocked inverter and a second clocked inverter cross-coupled with the first clocked inverter, an input of the first clocked inverter being coupled to the shared-read-data signal path, and an output of the first clocked inverter being coupled to an inverse-data signal path. The third circuitry may have an inverter with an input coupled to the inverse-data signal path and an output coupled to a data signal path.

Abstract: A protective garment assembly can include an elongate main portion having a length that extends between first and second ends. The main portion can include an upper fabric layer and a lower fabric layer. At least one energy-absorbing layer can be arranged between the upper and lower fabric layers and can extend at least partially between the first and second ends. At least one high-strength strip can be arranged between the upper and lower fabric layers adjacent to the at least one energy-absorbing layer. A plurality of armor elements can be arranged between the upper and lower fabric layers adjacent to the at least one energy-absorbing layer and the at least one high-strength strip.

Abstract: Described is apparatus comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may have an output coupled to a shared-read-data signal path, and the first circuitry either driving its output to a value based on a sensed memory bit, or not driving its output. The second circuitry may have a first clocked inverter and a second clocked inverter cross-coupled with the first clocked inverter, an input of the first clocked inverter being coupled to the shared-read-data signal path, and an output of the first clocked inverter being coupled to an inverse-data signal path. The third circuitry may have an inverter with an input coupled to the inverse-data signal path and an output coupled to a data signal path.

Abstract: Described is apparatus comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may have an output coupled to a shared-read-data signal path, and the first circuitry either driving its output to a value based on a sensed memory bit, or not driving its output. The second circuitry may have a first clocked inverter and a second clocked inverter cross-coupled with the first clocked inverter, an input of the first clocked inverter being coupled to the shared-read-data signal path, and an output of the first clocked inverter being coupled to an inverse-data signal path. The third circuitry may have an inverter with an input coupled to the inverse-data signal path and an output coupled to a data signal path.

Abstract: Methods, apparatus, systems, and articles of manufacture to iteratively search for an artificial intelligence-based architecture are disclosed. An example apparatus includes an interface to access a first subgroup of architecture configurations from a search space; instructions; and processor circuitry to execute the instructions to: train first predictors based on the first subgroup; generate a first plurality of candidate architecture configurations using the trained first predictors; and generate a second subgroup of architecture configurations by selecting a number of the plurality of candidate architecture configurations; train second predictors based on the first subgroup and the second subgroup; and generate a second plurality of candidate architecture configurations using the trained second predictors.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for designing hardware.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve neural architecture searches. An example apparatus includes similarity verification circuitry to identify candidate networks based on a combination of a target platform type, a target workload type to be executed by the target platform type, and historical benchmark metrics corresponding to the candidate networks, the candidate networks associated with performance metrics. The example apparatus also includes likelihood verification circuitry to categorize (a) a first set of the candidate networks based on a first one of the performance metrics corresponding to first tier values, and (b) a second set of the candidate networks based on a second one of the performance metrics corresponding to second tier values, and extract first features corresponding to the first set of the candidate networks and extract second features corresponding to the second set of the candidate networks.

Abstract: The present disclosure is related to framework for automatically and efficiently finding machine learning (ML) architectures that are optimized to one or more specified performance metrics and/or hardware platforms. This framework provides ML architectures that are applicable to specified ML domains and are optimized for specified hardware platforms in significantly less time than could be done manually and in less time than existing ML model searching techniques. Furthermore, a user interface is provided that allows a user to search for different ML architectures based on modified search parameters, such as different hardware platform aspects and/or performance metrics. Other embodiments may be described and/or claimed.

Abstract: The present invention relates to methods for purifying or enriching a biomolecule using multimodal resins and an elution buffer containing a Good's buffer.

Abstract: Described is apparatus comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may have an output coupled to a shared-read-data signal path, and the first circuitry either driving its output to a value based on a sensed memory bit, or not driving its output. The second circuitry may have a first clocked inverter and a second clocked inverter cross-coupled with the first clocked inverter, an input of the first clocked inverter being coupled to the shared-read-data signal path, and an output of the first clocked inverter being coupled to an inverse-data signal path. The third circuitry may have an inverter with an input coupled to the inverse-data signal path and an output coupled to a data signal path.

Abstract: Described is apparatus comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may have an output coupled to a shared-read-data signal path, and the first circuitry either driving its output to a value based on a sensed memory bit, or not driving its output. The second circuitry may have a first clocked inverter and a second clocked inverter cross-coupled with the first clocked inverter, an input of the first clocked inverter being coupled to the shared-read-data signal path, and an output of the first clocked inverter being coupled to an inverse-data signal path. The third circuitry may have an inverter with an input coupled to the inverse-data signal path and an output coupled to a data signal path.

Abstract: Described is apparatus comprising a first circuitry, a second circuitry, and a third circuitry. The first circuitry may have an output coupled to a shared-read-data signal path, and the first circuitry either driving its output to a value based on a sensed memory bit, or not driving its output. The second circuitry may have a first clocked inverter and a second clocked inverter cross-coupled with the first clocked inverter, an input of the first clocked inverter being coupled to the shared-read-data signal path, and an output of the first clocked inverter being coupled to an inverse-data signal path. The third circuitry may have an inverter with an input coupled to the inverse-data signal path and an output coupled to a data signal path.

Abstract: The present invention relates to methods for purifying or enriching a biomolecule using multimodal resins and an elution buffer containing a Good's buffer.

Abstract: The present invention relates to methods for purifying or enriching a biomolecule using multimodal resins and an elution buffer containing a Good's buffer.

Abstract: A computerized interactor system uses physical, three-dimensional objects as metaphors for input of user intent to a computer system. When one or more interactors are engaged with a detection field, the detection field reads an identifier associated with the object and communicates the identifier to a computer system. The computer system determines the meaning of the interactor based upon its identifier and upon a semantic context in which the computer system is operating.

Abstract: Apparatus and methods for use with a transport device (e.g., a stretcher) include a closable outer container mountable to the transport device and a single use inner container configured to be retained within the outer container. The inner container defines an opening through which objects associated with a person may be inserted into the single use inner container. The single use inner container further includes a tamper evident closure for use in sealing the opening thereof.