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公开(公告)号:EP3944058A1
公开(公告)日:2022-01-26
申请号:EP20216299.6
申请日:2020-12-22
申请人: INTEL Corporation
发明人: GUPTA, Ajay , BALAKRISHNAN, Ravikumar , AZIZI, Shahrnaz , GUPTA HYDE, Maruti , ZEIRA, Ariela , ANAND, Arjun , WINICK, Jacob
IPC分类号: G06F1/3209 , G06F1/3206 , G06F1/3215 , H04L12/24 , H04L12/26 , H04L12/801 , H04L12/863
摘要: Methods, apparatus, systems, and articles of manufacture are disclosed that generate dynamic latency values. An example apparatus includes an active status controller to determine that a modem is active based on a number of packets obtained from a network, a prediction controller to predict that the number of packets are indicative of a workload type based on a trained model, and a latency value generator to generate a latency value based on the workload type of the number of packets, the latency value to cause a processor processing the number of packets to enter a power saving state or a power executing state.
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公开(公告)号:EP4100892A1
公开(公告)日:2022-12-14
申请号:EP20917584.3
申请日:2020-12-26
申请人: Intel Corporation
发明人: AKDENIZ, Mustafa Riza , ANAND, Arjun , HIMAYAT, Nageen , AVESTIMEHR, Amir S. , BALAKRISHNAN, Ravikumar , BHARDWAJ, Prashant , CHOI, Jeongsik , CHOI, Yang-Seok , DHAKAL, Sagar , EDWARDS, Brandon Gary , PRAKASH, Saurav , SOLOMON, Amit , TALWAR, Shilpa , YONA, Yair Eliyahu
IPC分类号: G06N20/00 , H04L12/801 , H04L12/927
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公开(公告)号:EP4021027A1
公开(公告)日:2022-06-29
申请号:EP21209135.9
申请日:2021-11-18
申请人: INTEL Corporation
发明人: HIMAYAT, Nageen , GUPTA HYDE, Maruti , BALAKRISHNAN, Ravikumar , AKDENIZ, Mustafa , SPOCZYNSKI, Marcin
摘要: A method of implementing distributed AI or ML learning for autonomous vehicles is disclosed. An AI or ML model specific to a location or a type of the location is generated at a vehicle. In response to a detection that the vehicle is within a proximity to a road side unit (RSU) associated with the location or the type of the location or the vehicle is within a proximity to an additional vehicle that is present or anticipated to be present at the location or the type of the location, causing an AI or ML model transmission to the additional vehicle or the RSU. Based on the causing the AI or ML model reception, causing deployment of an additional AI or ML model in the vehicle to optimize the vehicle for the location or the type of the location.
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公开(公告)号:EP4158558A1
公开(公告)日:2023-04-05
申请号:EP21817091.8
申请日:2021-05-29
申请人: Intel Corporation
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公开(公告)号:EP4020925A1
公开(公告)日:2022-06-29
申请号:EP21206449.7
申请日:2021-11-04
申请人: INTEL Corporation
IPC分类号: H04L45/00 , H04L47/32 , H04L47/283 , H04W24/10 , H04L49/25 , H04W48/16 , H04L67/10 , H04L67/63
摘要: System and techniques for information centric network (ICN) protocol for federated learning are described herein. An interest packet may be received on a first interface to start a federated learning round. Here, the interest packet includes a participant criterion and a federated learning round expiration. An entry, that includes the federated learning round expiration, is created in a pending interest table (PIT) for the interest packet. The interest packet is forwarded, in accordance with a forwarding information base (FIB), to a set of interfaces before the federated learning round expiration. When a data packet from a node, that meeting the participant criterion, is received in response to the interest packet, the data packet is forwarded on the first interface in accordance with the PIT entry.
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公开(公告)号:EP3857956A1
公开(公告)日:2021-08-04
申请号:EP18935170.3
申请日:2018-09-27
申请人: INTEL Corporation
发明人: GUPTA HYDE, Maruti , PEREZ-RAMIREZ, Javier , BALAKRISHNAN, Ravikumar , CAVALCANTI, Dave A. , DOOSTNEJAD, Roya , GALEEV, Mikhail T. , LIAO, Yiting , MIN, Alexander W. , NALLAMPATTI EKAMBARAM, Venkatesan , PARK, Mi , RASHID, Mohammad Mamunur , SOMAYAZULU, Vallabhajosyula S. , SRIKANTESWARA, Srikathyayani , XUE, Feng
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公开(公告)号:EP3609233A1
公开(公告)日:2020-02-12
申请号:EP19183498.5
申请日:2019-06-28
申请人: INTEL Corporation
发明人: NALLAMPATTI EKAMBARAM, Venkatesan , VANNITHAMBY, Rath , BALAKRISHNAN, Ravikumar , HIMAYAT, Nageen
摘要: System and techniques for information centric network (ICN) mobility management are described herein. A packet may be received, at a first network node positioned between a subscriber and a publisher of an ICN, for a second network node. Movement metrics for the second network node may also be received. The packet may then be transmitted to a third network node-selected from a plurality of network nodes based on the movement metrics-for delivery to the second network node.
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