Abstract: A semiconductor device includes a semiconductor layer with a first and second surface. The semiconductor layer includes: a source region and gate regions. The source region includes an N-type source region, a P-type body layer, and a carrier storage layer. Each gate region includes a gate oxide layer and polysilicon. The gate oxide layer surrounds a side wall and bottom of the polysilicon. The source region is arranged between adjacent gate regions and contacts the gate oxide layers. The gate oxide layer extends to a first depth. The bottom of the polysilicon is located at a second depth away from the first surface. A part of the gate oxide layer has a constant thickness in a transverse direction and another part gradually increases thickness in the transverse direction. The third depth is within a range of a depth where the first P-type body layer is located.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: This disclosure concerns release mechanisms for medical implants, particularly embolic coils and the like, which utilize bulbous elements and receiving elements to constrain the bulbous elements. In some cases, the receiving elements are sized and shaped to help constrain the bulbous element axially and/or radially, and may work in concert with constraining elements and/or release wires that are optionally moveable independently of the receiving elements.

Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.

Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: The present disclosure relates to the field of embolic coils. More specifically, the present disclosure relates to systems and methods for actively releasing an embolic coil from a delivery device into a body lumen of a patient. Delivery systems of the present disclosure may allow an embolic coil to be advanced external to the distal end of a delivery catheter without being automatically released, thereby allowing the embolic coil to be repositioned prior to deployment.

Abstract: The present disclosure relates to embolic coils that eliminate kick-back into a parent vessel by providing a proximal end that retracts following deployment within the vasculature. Also disclosed are methods of making such coils, delivery systems that comprise such coils, and methods of delivering such coils to a patient.

Abstract: Approaches, techniques, and mechanisms are disclosed for accessing AI services from one region to another region. An artificial intelligence (AI) service director is configured with mappings from domain names of AI cloud engines to IP addresses of edge nodes of an AI delivery edge network. The AI cloud engines are located in an AI source region. The AI delivery edge network is deployed in a non-AI-source region. An AI application, which accesses AI services using a domain name of an AI cloud engine in the AI cloud engines located in the AI source region, is redirected to an edge node in the edge nodes of the AI delivery edge network located in the non-AI-source region. The AI application is hosted in the non-AI-source region. The AI services is then provided, by way of the edge node located in the non-AI-source region, to the AI application.

Abstract: This disclosure concerns release mechanisms for medical implants, particularly embolic coils and the like, which utilize bulbous elements and receiving elements to constrain the bulbous elements. In some cases, the receiving elements are sized and shaped to help constrain the bulbous element axially and/or radially, and may work in concert with constraining elements and/or release wires that are optionally moveable independently of the receiving elements.

Abstract: This disclosure concerns release mechanisms for medical implants, particularly embolic coils and the like, which utilize bulbous elements and receiving elements to constrain the bulbous elements. In some cases, the receiving elements are sized and shaped to help constrain the bulbous element axially and/or radially, and may work in concert with constraining elements and/or release wires that are optionally moveable independently of the receiving elements.

Abstract: Approaches, techniques, and mechanisms are disclosed for generating, enhancing, applying and updating knowledge neurons for providing decision making information to a wide variety of client applications. Domain keywords for knowledge domains are generated from domain data of selected domain data sources, along with keyword values for the domain keywords, and are used to generate knowledge artifacts for inclusion in knowledge neurons. These knowledge neurons may be enhanced by domain knowledge data sets found in various data sources and used to generate neural responses to neural queries received from the client applications. Neural feedbacks may be used to update and/or generate knowledge neurons.

Abstract: A blending system includes a blender base and a container. The blender base includes a housing that houses a motor. The container is attachable to the blender base. The blending system includes a user device that communicates with the blender base. The user device may communicate with a remote computing device. The user device generates instructions and recipes for the blender base.

Abstract: Cosmetics applicators and combination products using the cosmetics applicators. In an example a cosmetics applicator comprises upper and lower caps that can be twisted relative to one another to cause a stem associated with the upper and lower caps to extend or retract. A cosmetics applicator on a distal end of the stem is thereby caused to assume curved or straight configurations.

Abstract: This disclosure concerns release mechanisms for medical implants, particularly embolic coils and the like, which utilize bulbous elements and receiving elements to constrain the bulbous elements. In some cases, the receiving elements are sized and shaped to help constrain the bulbous element axially and/or radially, and may work in concert with constraining elements and/or release wires that are optionally moveable independently of the receiving elements.

Abstract: Medical device balloons are formed from a tubular parison by a process or apparatus which establishes a controlled location (initiation zone) on the parison where radial expansion is initiated. Initiation within the initiation zone is achieved by heating the parison in that location to a higher temperature than the remainder of the parison for at least a portion of the blowing time. A variety of apparatus configurations are provided, some of which allow for the size and location of the initiation zone to be readily reconfigured. Balloons can also be modified, post-blowing, using heating apparatus and methods described.

Abstract: An immersion mold for a medical device balloon. The mold has a cavity adapted to receive a hollow parison expandable therein to form the balloon. The cavity has a length, a first end, a second end, and a cavity wall with inner and outer surfaces. The mold form cavity wall is provided with one or a plurality of through-holes along the length thereof to facilitate entrance and egress of a heated fluid.