公开(公告)号：US20240394679A1

公开(公告)日：2024-11-28

申请号：US18200334

申请日：2023-05-22

Applicant: Adeia Guides Inc.

Inventor： Dhananjay Lal

IPC: G06Q20/12 ,  G06Q20/38 ,  G06Q20/40

Abstract: Systems and method are disclosed herein comprising receiving a request to record a proposed owner of an asset at a central authority, verifying an asserted owner is a current owner of the asset based on data from a record managed by the central authority or a distributed ledger, determining an indication that the asset is not managed by the distributed ledger, and, after determining that the asset is not managed by the distributed ledger and verifying an asserted owner is a current owner of the asset, recording the proposed owner of the asset in a record of the asset at the central authority, the record comprising data indicating an asset identification and an owner identification based on the verified owner indicating the proposed owner.

公开(公告)号：US12137057B2

公开(公告)日：2024-11-05

申请号：US17872758

申请日：2022-07-25

Applicant: Adeia Guides Inc.

Inventor： Dhananjay Lal

IPC: H04L47/80 ,  H04L47/78

Abstract: Systems and methods are provided for allocating computation capability. A network compute orchestrator (NCO) receives a request for service from a requester device. The NCO determines a required compute grade requirement for the service, and a maximum acceptable latency for the service. The NCO accesses a data structure that stores for each of a network arrangement of network devices: a number and type of available compute units, and latency to the requester device. The NCO selects a network device of the network arrangement of network devices that has an available compute unit meeting the required compute grade requirement, and has latency to the requester device that is lower than the maximum acceptable latency for the service. The NCO causes the selected network device of the network arrangement of network devices to perform the requested service for the requester device.

公开(公告)号：US20240356907A1

公开(公告)日：2024-10-24

申请号：US18137364

申请日：2023-04-20

Applicant: Adeia Guides Inc.

Inventor： Dhananjay Lal ,  Ville Ollikainen ,  Pekka Koskela ,  Markku Kylanpaa ,  Anni Karinsalo

IPC: H04L9/40

CPC classification number: H04L63/0815 ,  H04L63/108

Abstract: Systems and methods of rotating content license management for multiple terminals associated with the same content service subscription user account are disclosed. An ephemeral master device (EMD) is selected from a domain of client devices associated with the same user account. The content service generates an Ephemeral Personal Credential (EPC) associated with the user account, which is temporary and is updated periodically or randomly. The EMD role rotates among the devices in the domain periodically or randomly. The updated EPC is sent to the current EMD. A client device can access content via the user account by providing 1) the account credentials and 2) a valid EPC. Account credentials may be shared with the client device. The EPC is shared with the client device when the client device moves within a particular range of the EMD (or another device in the domain which has the EPC) to synchronize the EPC.

公开(公告)号：US20240256772A1

公开(公告)日：2024-08-01

申请号：US18103986

申请日：2023-01-31

Applicant: Adeia Guides Inc.

Inventor： Dhananjay Lal

IPC: G06F40/274 ,  G06F3/04883 ,  G06F3/04886

CPC classification number: G06F40/274 ,  G06F3/04883 ,  G06F3/04886

Abstract: Systems and methods for improving gesture-based typing in applications where contextual data is used to provide improved word suggestions corresponding to a gesture (i.e., trajectory of hand movement on a digital keyboard) are described. A high-level context is determined by applying techniques such as natural language processing to one or more data categories. Based on the determined high-level context, context specific databases are accessed to obtain additional context specific words. A high priority list (HPL) is generated based on the both the obtain context specific words and the lexicon. The words in the HPL are ranked based on their probability of matching the gesture entered by the user and a top ranked words or words are displayed for input. If suggested word is not accepted by the user, then based on determining a similarity between two sequential gestures, previously suggested words are not repeatedly suggested.