"Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of ...
AfdStateProperties Algorithm AutoGeneratedDomainNameLabelScope AzureFirstPartyManagedCertificate AzureFirstPartyManagedCertificateParameters CacheBehavior CacheConfiguration CacheExpirationActionParameters CacheKeyQueryStringActionParameters CacheType CdnCertificateSourceParameters CdnEndpoint CdnEndpoint.DefinitionStages CdnEnd...
💬 大模型对话、Agent:支持多种大模型,适配群聊和私聊;具有多轮对话、工具调用、多模态能力,并深度适配Dify。目前支持 QQ、QQ频道、企业微信、个人微信、飞书、Discord、Telegram 等平台。 🛠️ 高稳定性、功能完备:原生支持访问控制、限速、敏感词过滤等机制;配置简单,支持多种部署方式。支持多流水线配置,不...
Learn more about the Microsoft.Azure.Commands.Cdn.Models.Endpoint.PSDeepCreatedOrigin.HttpsPort in the Microsoft.Azure.Commands.Cdn.Models.Endpoint namespace.
Definition Namespace: Azure.ResourceManager.Cdn.Models Assembly: Azure.ResourceManager.Cdn.dll Package: Azure.ResourceManager.Cdn v1.3.0 Source: DeepCreatedOrigin.cs The location of the Private Link resource. Required only if 'privateLinkResourceId' is populated. ...
(Fig.4b). Further analysis revealed that the origin of the selectivity changes between P and N stimuli at the swap position was the result of both increases in responses to N and decreases in responses to P, an effect also observed in the experiments (Fig.4c). Thus, LPL can account for...
section, we present experimental validation of DEEP2by successfully de-scattering experimentally acquired DEEP measurements using the inverse model trained on simulated data. Experiments used only 32 patterned illuminations. Thus DEEP2is nearly an order of magnitude faster than the current state of the ...
This week, I addressed a customer's request to understand the differences between Physical and Logical Reads and how they affect performance. Here’s an...
Recently, using artificial intelligence (AI) in drug discovery has received much attention since it significantly shortens the time and cost of developing
A large number of deep learning based brain tumor segmentation methods have been published with promising results. Our paper, as a platform, provides a comprehensive and critical survey of state-of-the-art brain tumor segmentation methods. We anticipate that this survey supplies useful guidelines and...