公开(公告)号：US11544525B2

公开(公告)日：2023-01-03

申请号：US16528548

申请日：2019-07-31

Applicant: Sateesh Kumar Addepalli

Inventor： Sateesh Kumar Addepalli

IPC: G06N5/04 ,  G06N3/04 ,  G06F9/38 ,  G06F9/455 ,  G06F9/50 ,  G06N3/08

Abstract: An artificial intelligence (AI) system is disclosed. The AI system provides an AI system lane processing chain, at least one AI processing block, a local memory, a hardware sequencer, and a lane composer. Each of the at least one AI processing block, the local memory coupled to the AI system lane processing chain, the hardware sequencer coupled to the AI system lane processing chain, and the lane composer is coupled to the AI system lane processing chain. The AI system lane processing chain is dynamically created by the lane composer.

公开(公告)号：US11150720B2

公开(公告)日：2021-10-19

申请号：US16528553

申请日：2019-07-31

Applicant: Sateesh Kumar Addepalli

Inventor： Sateesh Kumar Addepalli

IPC: G06F1/26 ,  G06F1/3246 ,  G06N5/04 ,  G06N20/00 ,  G06F1/3203

Abstract: Aspects of the present disclosure are presented for a power management system of a multilane AI system architecture. The system may include an orchestrator configured to control power and other operations of a lane. An uber orchestrator manages the overall system, and may know all of the multilane systems within the AI virtual multilane system that need to be active at a given frequency and power envelope for given price, and performance constraints. The orchestrator of each lane knows the compute/logic blocks that need to be active for a given AI app model AI processing chain execution. The orchestrator may be configured to send commands to turn off power to certain components that are not utilized in performing an AI execution sequence, deactivate operation to the lane when its functions are completed, and also modulate the clock frequency of a lane to fit the computation demands while minimizing power usage.

公开(公告)号：US11507662B2

公开(公告)日：2022-11-22

申请号：US16528545

申请日：2019-07-31

Applicant: Sateesh Kumar Addepalli

Inventor： Sateesh Kumar Addepalli

IPC: G08B23/00 ,  G06F12/16 ,  G06F12/14 ,  G06F11/00 ,  G06F21/56 ,  G06F21/57 ,  G06F21/60 ,  G06N20/00 ,  G06N5/04

Abstract: Aspects of the present disclosure are presented for an AI system featuring specially designed AI hardware that incorporates security features to provide iron clad trust and security to run AI applications/solution models. Presented herein are various security features for AI processing, including: a trust and integrity verifier of data during operation of an AI solution model; identity and trust establishment between an entity and the AI solution model; secure isolation for a virtual AI multilane system; a real-time attack detection and prevention mechanism; and built in detection mechanisms related to rogue security attack elements insertion during manufacturing. Aspects also include security to implement an AI network interconnecting multiple user devices in an AI environment.

公开(公告)号：US11423454B2

公开(公告)日：2022-08-23

申请号：US16789357

申请日：2020-02-12

Applicant: Sateesh Kumar Addepalli

Inventor： Sateesh Kumar Addepalli

IPC: G06Q30/06 ,  G06F21/10 ,  G06N5/04 ,  G06N20/00 ,  G06Q20/12 ,  G06Q20/38 ,  G06Q30/08

Abstract: Aspects of the present disclosure provide for a novel system and method where users can promote, subscribe, license, train collaboratively, and/or trade AI models in real-time over an AI trusted model network that represents a group of trusted users across platform agnostic ways. The system and methods described herein may effectively provide a marketplace to collaboratively develop and reliably disseminate developed AI models to other users who may have similar needs. The system may include an AI user device server (AI-UDS), an AI trusted model network (AI-TMN), an AI secure marketplace system (AI-SMPS), an AI collaborative training platform (AI-CTP), an AI secure transaction fulfillment system (AI-STFS), and an AI model license subscription management platform (AI-LSMP).