公开(公告)号：US09043500B2

公开(公告)日：2015-05-26

申请号：US13728830

申请日：2012-12-27

Applicant: INTEL CORPORATION

Inventor： Siva Ramakrishnan ,  Kristine Karnos ,  Siddhartha Nath

IPC: G06F3/00 ,  G06F9/44 ,  G06F1/20

CPC classification number: G06F9/4411 ,  G06F1/20 ,  G06F1/203

Abstract: An electronic data tablet has a controller and transition manager. The controller is to store in a memory of the tablet virtual configuration space information for a peripheral device of a computer, and the transition manager is to control the controller to operate in a first mode and a second mode. The virtual configuration space information is stored in the tablet memory when the first mode is to be switched to the second mode. When the second mode is switched to the first mode, the virtual configuration space information is accessed to control recognition of the peripheral device of the computer without performing a re-scanning operation.

Abstract translation: 电子数据平板电脑具有控制器和转换管理器。 控制器将存储在计算机的外围设备的平板电脑虚拟配置空间信息的存储器中，并且转移管理器将控制器以第一模式和第二模式进行操作。 当第一模式切换到第二模式时，虚拟配置空间信息被存储在平板电脑存储器中。 当第二模式切换到第一模式时，访问虚拟配置空间信息以控制计算机的外围设备的识别，而不执行重新扫描操作。

公开(公告)号：US20240020446A1

公开(公告)日：2024-01-18

申请号：US18477844

申请日：2023-09-29

Applicant: Intel Corporation

Inventor： Siddhartha Nath ,  Rajeshkumar Sambandam ,  Uday Mallappa ,  Somdeb Majumdar ,  Mariano Phielipp ,  Xia Zhu ,  Jianfang Olena Zhu ,  Francisco Javier Vera Rivera ,  Miaomiao Ma

IPC: G06F30/31 ,  G06N3/084

CPC classification number: G06F30/31 ,  G06N3/084

Abstract: Systems, apparatuses and methods may provide for technology that determines a vocabulary based on EDA tool terminologies and/or a natural language, queries and recommends, by a plurality of virtual agents, actions based on a design state and the vocabulary, wherein the plurality of agents is to include a tool agent and a designer agent, and executes a set of modifications to the design state in accordance with a collaboration between the plurality of agents. The technology may also convert a first user query from a first format to a second format, wherein the first format is incompatible with a trained AI model of a hardware architecture and the second format is compatible with the trained AI model, generate one or more predictions from the trained AI model based on the converted first user query, and select a subset of recommendations from a set of candidate architectures based on the prediction(s).