Abstract: Embodiments relate to a neural processor circuit with scalable architecture for instantiating one or more neural networks. The neural processor circuit includes a data buffer coupled to a memory external to the neural processor circuit, and a plurality of neural engine circuits. To execute tasks that instantiate the neural networks, each neural engine circuit generates output data using input data and kernel coefficients. A neural processor circuit may include multiple neural engine circuits that are selectively activated or deactivated according to configuration data of the tasks. Furthermore, an electronic device may include multiple neural processor circuits that are selectively activated or deactivated to execute the tasks.

Abstract: Methods of using grids in connection with suitable microscopy techniques, such as for determining the structure of target compounds including proteins, are disclosed. Said grid comprising a coating modified with one or more capture agents and a deactivating agent.

Abstract: The invention provides compositions and methods for treatment of tendon and ligament injuries and/or repair of damaged tendons and ligament. The invention provides compositions comprising a biocompatible matrix and platelet-derived growth factor (PDGF).