Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, at each of multiple time steps, sensor data captured by an onboard sensor of a drone at the time step, providing an input including the sensor data to a drone control neural network having a brain emulation sub-network with an architecture that is specified by synaptic connectivity between neurons in a brain of a biological organism, including instantiating a respective artificial neuron in the brain emulation sub-network corresponding to each of multiple biological neurons in the brain of the biological organism, and instantiating a respective connection between each pair of artificial neurons, processing the input using the drone control neural network to generate an action selection output, and selecting an action to be performed to control the drone at the time step based on the action selection output.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a representation of an image captured by an onboard camera of a drone and providing the representation of the image to a drone image processing neural network having a brain emulation sub-network with an architecture that is specified by synaptic connectivity between neurons in a brain of a biological organism, including instantiating a respective artificial neuron corresponding to each biological neuron of multiple biological neurons, and instantiating a respective connection between each pair of artificial neurons that correspond to a pair of biological neurons that are connected by a synaptic connection, and processing the representation of the image using the drone image processing neural network having the brain emulation sub-network to generate a network output that defines a prediction characterizing the image captured by the onboard camera of the drone.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing brain emulation neural networks on user devices. One of the methods includes obtaining, by a first component of a user device, a network input; processing, by the first component of the user device, the network input using an artificial neural network to generate a network output, wherein the artificial neural network has a network architecture that has been determined according to a synaptic connectivity graph, wherein the synaptic connectivity graph represents synaptic connectivity between neurons in a brain of a biological organism; and providing the network output for use by one or more second components of the user device.