公开(公告)号：US20220202348A1

公开(公告)日：2022-06-30

申请号：US17139144

申请日：2020-12-31

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  David Andre ,  Doris Tang ,  Farooq Ahmad

IPC: A61B5/00 ,  G06N3/04 ,  G06N3/08

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.

公开(公告)号：US20220284268A1

公开(公告)日：2022-09-08

申请号：US17195395

申请日：2021-03-08

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Farooq Ahmad

IPC: G06N3/04 ,  G06N3/063

Abstract: In one aspect, there is provided a method performed by multiple data processing units for distributed processing of data defining a synaptic connectivity graph that includes multiple nodes and edges and represents synaptic connectivity between neurons in a brain of a biological organism. The method includes obtaining graph data defining the synaptic connectivity graph that represents synaptic connectivity between neurons in the brain of the biological organism. The method further includes dividing the graph data defining the synaptic connectivity graph into multiple sub-graph datasets that each define a respective sub-graph of the synaptic connectivity graph. The method further includes distributing multiple sub-graph datasets over multiple data processing units and processing multiple sub-graph datasets using multiple data processing units.