Abstract: An application specific integrated circuit (ASIC) chip includes: a systolic array of cells; and multiple controllable bus lines configured to convey data among the systolic array of cells, in which the systolic array of cells is arranged in multiple tiles, each tile of the multiple tiles including 1) a corresponding sub array of cells of the systolic array of cells, 2) a corresponding subset of controllable bus lines of the multiple controllable bus lines, and 3) memory coupled to the subarray of cells.

Abstract: A tile including circuitry for use with machine learning models, the tile including: a first computational array of cells, in which the computational array of cells is a sub-array of a larger second computational array of cells; local memory coupled to the first computational array of cells; and multiple controllable bus lines, in which a first subset of the multiple controllable bus lines include multiple general purpose controllable bus lines couplable to the local memory.

Abstract: A tile including circuitry for use with machine learning models, the tile including: a first computational array of cells, in which the computational array of cells is a sub-array of a larger second computational array of cells; local memory coupled to the first computational array of cells; and multiple controllable bus lines, in which a first subset of the multiple controllable bus lines include multiple general purpose controllable bus lines couplable to the local memory.

Abstract: An application specific integrated circuit (ASIC) chip includes: a systolic array of cells; and multiple controllable bus lines configured to convey data among the systolic array of cells, in which the systolic array of cells is arranged in multiple tiles, each tile of the multiple tiles including 1) a corresponding subarray of cells of the systolic array of cells, 2) a corresponding subset of controllable bus lines of the multiple controllable bus lines, and 3) memory coupled to the subarray of cells.

Abstract: A tile including circuitry for use with machine learning models, the tile including: a first computational array of cells, in which the computational array of cells is a sub-array of a larger second computational array of cells; local memory coupled to the first computational array of cells; and multiple controllable bus lines, in which a first subset of the multiple controllable bus lines include multiple general purpose controllable bus lines couplable to the local memory.

Abstract: An application specific integrated circuit (ASIC) chip includes: a systolic array of cells; and multiple controllable bus lines configured to convey data among the systolic array of cells, in which the systolic array of cells is arranged in multiple tiles, each tile of the multiple tiles including 1) a corresponding subarray of cells of the systolic array of cells, 2) a corresponding subset of controllable bus lines of the multiple controllable bus lines, and 3) memory coupled to the subarray of cells.

Abstract: The behavior and/or internal activities of a microorganism can be simulated using a model of the microorganism. Such simulations can be used to determine the efficacy of treatments, disinfectants, antibiotics, chemotherapies, or other methods of interacting with the microorganism, or to provide some other information about the microorganism. Systems and methods are provided herein for fitting, refining, or otherwise improving such models in an automated fashion. Such systems and methods include performing whole-cell experiments to determine a correspondence between the predictions of such models and the actual behavior of samples of the microorganism. Such systems and methods also include, based on such determined correspondences, directly assessing determined discrete sets of properties of the microorganism and/or of constituents of the microorganism and updating parameters of the model corresponding to the properties of the discrete set such that the overall accuracy of the model is improved.

Abstract: The behavior and/or internal activities of a microorganism can be simulated using a model of the microorganism. Such simulations can be used to determine the efficacy of treatments, disinfectants, antibiotics, chemotherapies, or other methods of interacting with the microorganism, or to provide some other information about the microorganism. Systems and methods are provided herein for fitting, refining, or otherwise improving such models in an automated fashion. Such systems and methods include performing whole-cell experiments to determine a correspondence between the predictions of such models and the actual behavior of samples of the microorganism. Such systems and methods also include, based on such determined correspondences, directly assessing determined discrete sets of properties of the microorganism and/or of constituents of the microorganism and updating parameters of the model corresponding to the properties of the discrete set such that the overall accuracy of the model is improved.

Abstract: A system and method is disclosed for automatically providing information to a newly-manufactured computing device. During the manufacture of a new computing device at an assembly line, a camera integrated with the computing device is automatically activated as a barcode scanner. On the camera viewing a barcode that includes device-specific configuration information, the barcode is read by the computing device to read the device-specific configuration information for storage in a non-volatile memory of the device.

Abstract: A system and method is disclosed for automatically providing information to a newly-manufactured computing device. During the manufacture of a new computing device at an assembly line, a camera integrated with the computing device is automatically activated as a barcode scanner. On the camera viewing a barcode that includes device-specific configuration information, the barcode is read by the computing device to read the device-specific configuration information for storage in a non-volatile memory of the device.

Abstract: A system and method is disclosed for automatically providing information to a newly-manufactured computing device. During the manufacture of a new computing device at an assembly line, a camera integrated with the computing device is automatically activated as a barcode scanner. On the camera viewing a barcode that includes device-specific configuration information, the barcode is read by the computing device to read the device-specific configuration information for storage in a non-volatile memory of the device.

Abstract: A system and method is disclosed for testing internet functionality of a computing device in a simulated Internet environment. In a testing environment, one or more local web servers are isolated from the Internet and configured to simulate one or more websites on the Internet. A request for a website located on the Internet is received from a computing device under test at a testing station. In response to receiving the request, information which simulates the website located on the Internet is provided to the computing device by the one or more local web servers, without access to the Internet.

Abstract: A system and method is disclosed for enforcing a third-party factory test during a quality verification of a newly-manufactured computing device. During an assembly line quality verification, a factory implemented test and a required third-party factory test are executed on a computing device, and then the execution verified by an external process. On verifying the required third-party factory test was executed, the computing device is configured to execute a release image on a subsequent startup of the computing device.