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.
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).
Abstract:
A method and apparatus for facilitating indexing of rich Internet content by accessing a portion of rich Internet content containing a plurality of states and a plurality of transitions that connect various ones of the plurality of states through activation of at least one entity. The method and apparatus accesses contextual information coupled to at least one of a transition, a state or an entity, and examines at least one of the plurality of states using the at least one of the plurality of transitions and the contextual information.
Abstract:
To more fully utilize the available bandwidth of a network link, network nodes in accordance with the present invention allow TDM data to be combined with packet data. A Packet/TDM cross connect switch, having both a TDM switch and a packet switch, is used in these embodiments. Data packets are transformed into TDM packet columns. The TDM packet columns are combined with standard TDM data columns in the payload of a TDM data frame. Data packets may be sorted based on a priority scheme, in which high priority data packets are given precedence over lower priority data. However, both high priority and low priority may be combined in a TDM packet column.
Abstract:
To more fully utilize the available bandwidth of a network link, network nodes in accordance with the present invention allow TDM data to be combined with packet data. A Packet/TDM cross connect switch, having both a TDM switch and a packet switch, is used in these embodiments. Data packets are transformed into TDM packet columns. The TDM packet columns are combined with standard TDM data columns in the payload of a TDM data frame. Data packets may be sorted based on a priority scheme, in which high priority data packets are given precedence over lower priority data. However, both high priority and low priority may be combined in a TDM packet column
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.
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.
Abstract:
An apparatus to obtain zoned real-time gas concentration and location information from a plurality of gas detectors and provide compliance information along with exposure trends and warning information. Acquired concentration and location information can be stored in a common memory unit for efficient trend analysis and generation of compliance information.
Abstract:
Single chain fusion proteins that specifically bind to a TCR complex or a component thereof, such as TCRα, TCRβ, or CD3ε, along with compositions and methods of use thereof are provided.
Abstract:
A system and method of monitoring zones for alarm conditions and automatically alerting individuals in a plurality of zones about the safety of a particular zone is provided. The method includes providing a site map of a predefined area, configuring a plurality of zones in the predefined area, receiving ambient condition data and location data from a plurality of wireless devices located in the predefined area, computing an alarm level for each zone in the plurality of zones based on the received ambient condition data and location data, and transmitting alert notifications to the plurality of wireless devices. The alert notification sent to each wireless device is based on the computed alarm level of the zone in which that wireless device is located relative to the computed alarm level of the other zones in the plurality of zones.