公开(公告)号：US20250165647A1

公开(公告)日：2025-05-22

申请号：US18430950

申请日：2024-02-02

Applicant: Arm Limited

Inventor： Remy Pottier ,  Nicholas John Cook ,  Vasileios Laganakos ,  Diya Soubra

IPC: G06F21/62 ,  G06F21/60

Abstract: A method of operating a personal intelligent agent in an ambient computing environment, comprising receiving input; analyzing input to derive a user personal preference; associating the personal preference with a first context indicator; determining whether the personal preference is exposable; responsive to determining that the personal preference is exposable, storing the preference with the associated context indicator; detecting when the agent enters a detectable context and responsively creating a second context indicator; determining if there is a match between the second and the first context indicator; retrieving the exposable personal preference associated with the context indicator; creating an anonymous preference indicator comprising the exposable personal preference with the matched context; emitting the preference indicator over the ambient computing environment; and monitoring the ambient computing environment to detect any broadcast message indicating ability to satisfy the preference shown in the preference indicator.

公开(公告)号：US20250036979A1

公开(公告)日：2025-01-30

申请号：US18523411

申请日：2023-11-29

Applicant: Arm Limited

Inventor： Remy Pottier ,  Vasileios Laganakos ,  Diya Soubra ,  Nicholas John Cook

IPC: G06N5/046 ,  G06N5/022

Abstract: A machine learning and inferencing system to generate a personalised activity plan comprises a trained world context knowledge base; a trained personal digital memory store; a goal engine to establish an activity goal; an activity decomposition engine to decompose an activity into a logically-consistent sub-activities connected by; a ponderation engine to assign value weights to potential sub-activities; a graph generation engine to generate a multi-layer weighted graph to train a model of personalised outcomes of the sub-activities according to the value weights; a scenario generation engine to analyze the network of logically-consistent potential sub-activities connected by paths to determine a selected scenario path to the activity goal according to at least the model of personalised user outcomes; a feedback engine to apply learning from the scenario generation engine to the world context knowledge base and/or the personal digital memory store; and an output channel to output a personalised activity plan comprising recommended actions to implement the selected scenario path.

公开(公告)号：US20240370267A1

公开(公告)日：2024-11-07

申请号：US18430952

申请日：2024-02-02

Applicant: Arm Limited

Inventor： Nicholas John Cook ,  Remy Pottier ,  Vasileios Laganakos ,  Diya Soubra

IPC: G06F9/38

Abstract: The present disclosure relates to a data processing system comprising: at least one modular processing tile comprising runtime-configurable processing circuitry; and a control module to control the at least one modular processing tile, said control module comprising: instruction decoding circuitry to decode instructions; information collecting circuitry to collect information relating to said at least one modular processing tile; and instruction processing circuitry to process instructions decoded by the instruction decoding circuitry, wherein, in response to an instruction to perform a processing task, said instruction processing circuitry generates configuration instruction based on the collected information relating to said at least one modular processing tile, and said runtime-configurable processing circuitry is configured at runtime to perform said processing task in response to said configuration instruction. In some embodiments, plural modular processing tiles may be aggregated and configured at runtime to perform a dedicated function similar to a cortical column in the human brain.