Intel Corporation

Nokia Technologies Oy

Ismo Puustinen

Jaska Uimonen

Kapil Sood

Reshma Lal

Soham Jayesh Desai

Jukka Kalevi Nurminen

Tapio Liusvaara

Marko Bonden

Mikko Ylinen

Jani Penttila

Miikka Tuppurainen

Dong Guo

Srinivasa Addepalli

Jan Ekstrom

Jan Ekström

Kailun Qin

Veronika Karpenko

Sakari Poussa

Various methods, systems, and use cases for securely managing, generating, and controlling access to keys in a service mesh are discussed herein. In various examples, key protection operations include service mesh signing key protection and service mesh communication key protection, for a secure transport session between services such as conducted with mutual transport layer security (mTLS). For instance, such key protection operations may be used to establish communications between the service host and another entity within the service mesh, in a secure transport session, based on use of a private key (secured using a confidential computing technology) in a secure enclave or other secure compute environment to sign one or more keys for the secure transport session.

Secure key management for service mesh deployments

An apparatus to facilitate metrics and security-based accelerator service rescheduling and auto-scaling using a programmable network device is disclosed. The apparatus includes processors to collect metrics corresponding to communication links between microservices of a service managed by a service mesh; determine, based on analysis of the metrics, that a workload of the service can be accelerated by offload to a hardware accelerator device; generate a scaling request to cause the hardware accelerator device to be allocated to a cluster of hardware devices configured for the service; cause the scaling request to be transmitted to a programmable network device managing the hardware accelerator device, the programmable network device to allocate the hardware accelerator device to the cluster and to register the hardware accelerator device with the service mesh; and schedule the workload of the service to the hardware accelerator device.

Metrics and security-based accelerator service rescheduling and auto-scaling using a programmable network device

A mechanism is described for facilitating smart filtering and local/remote processing of data according to one embodiment. A method of embodiments, as described herein, includes detecting data collected via one or more sensing components, and evaluating the collected data to identify one or more portions of the collected data having privacy relevance, where evaluating further includes classifying the one or more portions as private data and other portions of the collected as non-private data. The method may further include filtering out the private data from the non-private data of the collected data, and processing the private data, where the non-private data is transmitted to a remote computing device over a network.

Facilitating dynamic filtering and local and/or remote processing of data based on privacy policies and/or user preferences

A facial recognition system determines an estimated biological age of a subject in a current image. A facial recognition controller identifies the subject in the current image using a number of historical images, at least one of which includes the subject and a logically associated identifier. The system compares the estimated biological age of the subject to a defined threshold value. The system determines a temporal difference between a time/date logically associated with the current image and a time/date logically associated with the historical image. If the estimated biological age of the subject in the current image is less than a defined age threshold and the temporal difference between the time/date logically associated with the current image and a time/date logically associated with the historical image is less than a temporal threshold, the identifier logically associated with the historical image is logically associated with the current image.

Automated facial recognition systems and methods

Techniques for wireless charging are described herein. For example, an apparatus includes a device formed in a loop. The apparatus may also include a receiving coil disposed around an entire length of the loop. Each turn of the wireless power receiving coil follows the entire length of the loop.

Wireless power receiving coil along a loop of a device

Techniques are disclosed for synchronizing gain adjustments across a cascaded network of audio gain stages having variant operating delays. In particular, a delay-synchronized volume adjustment system configured in accordance with an embodiment of the present disclosure includes a controller operatively coupled to the cascaded network of audio and configured to apply gain adjustments in a synchronized manner that accounts for operating delays that are inherent to each gain stage. In an embodiment, the controller synchronously adjusts each gain stage relative to a corresponding operating delay such that gain adjustments fully propagate at substantially a same point in time within a given acceptable tolerance, and thus, eliminates or otherwise mitigates perceivable volume shifts when mixing audio from two or more audio sources.

Techniques for setting volume level within a tree of cascaded volume controls with variating operating delays

In accordance with an example embodiment of the present invention, a method is described which comprises receiving data relating to at least one connection from a network (), deriving statistical information relating to the at least one connection (), and causing disconnection of at least one of the at least one connection in dependence of the statistical information ().

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Helsinki, Finland

Ismo Puustinen