Abstract: A semiconductor device includes a first semiconductor die and a second semiconductor die connected to the first semiconductor die. Each of the first semiconductor die and the second semiconductor die includes a substrate, a conductive bump formed on the substrate and a conductive contact formed on the conductive bump. The conductive contact has an outer lateral sidewall, there is an inner acute angle included between the outer lateral sidewall and the substrate is smaller than 85°, and the conductive contact of the first semiconductor die is connected opposite to the conductive contact of the second semiconductor die.

Abstract: In an embodiment, a device bonding apparatus is provided. The device bonding apparatus includes a first process station configured to receive a wafer; a first bond head configured to carry a die to the wafer, wherein the first bonding head includes a first rigid body and a vacuum channel in the first rigid body for providing an attaching force for carrying the die to the wafer; and a second bond head configured to press the die against the wafer, the second bond head including a second rigid body and an elastic head disposed over the second rigid body for pressing the die, the elastic head having a center portion and an edge portion surrounding the center portion, the center portion of the elastic head having a first thickness, the edge portion of the elastic head having a second thickness, the second thickness being greater than the second thickness.

Abstract: A system comprises a communications module; at least one processor coupled with the communications module; and a memory coupled to the at least one processor and storing processor-executable instructions which, when executed by the at least one processor, configure the at least one processor to provide, via the communications module, a first encryption key of an encryption key pair to a client device; receive, via the communications module and from a conversation agent server, a fulfillment request based on a natural language input transmitted from the client device to the conversation agent server; determine that the fulfillment request includes a request for personal data; obtain the requested personal data; encrypt the personal data with a second encryption key of the encryption key pair; and provide, via the communications module and to the conversation agent server, the encrypted personal data for transmission to the client device.

Abstract: Systems and methods of generating responses associated with natural language input. A system includes a communication module, a processor, and a memory. The memory stores instructions that, when executed, configure the processor to: transmit, to a conversation agent server, a natural language input and receive, from the conversation agent server, an intent and at least one parameter. The processor generates, based on the intent and the at least one parameter, a fulfillment query requesting access to personal data for generating a response to the natural language input, where the personal data is stored on a fulfillment server. The processor transmits the fulfillment query and receives a response indication from the fulfillment server. The processor generates a request for subsequent input, generates an updated conversation context based on the response indication and the intent, and transmits to the conversation agent server, the updated conversation context.

Abstract: Systems and methods of generating responses associated with natural language input. A system includes a communication module, a processor, and a memory. The memory stores instructions that, when executed, configure the processor to: transmit, to a conversation agent server, a natural language input and receive, from the conversation agent server, an intent and at least one parameter. The processor generates, based on the intent and the at least one parameter, a fulfillment query requesting access to personal data for generating a response to the natural language input, where the personal data is stored on a fulfillment server. The processor transmits the fulfillment query and receives a response indication from the fulfillment server. The processor generates a request for subsequent input, generates an updated conversation context based on the response indication and the intent, and transmits to the conversation agent server, the updated conversation context.

Abstract: Systems and methods of generating responses associated with natural language input. A system includes a communication module, a processor, and a memory. The memory stores instructions that, when executed, configure the processor to: transmit, to a conversation agent server, a natural language input and receive, from the conversation agent server, an intent and at least one parameter. The processor generates, based on the intent and the at least one parameter, a fulfillment query requesting access to personal data for generating a response to the natural language input, where the personal data is stored on a fulfillment server. The processor transmits the fulfillment query and receives a response indication from the fulfillment server. The processor generates a request for subsequent input, generates an updated conversation context based on the response indication and the intent, and transmits to the conversation agent server, the updated conversation context.

Abstract: Systems and methods of generating responses associated with natural language input. A system includes a communication module, a processor, and a memory. The memory stores instructions that, when executed, configure the processor to: transmit, to a conversation agent server, a natural language input and receive, from the conversation agent server, an intent and at least one parameter. The processor generates, based on the intent and the at least one parameter, a fulfillment query requesting access to personal data for generating a response to the natural language input, where the personal data is stored on a fulfillment server. The processor transmits the fulfillment query and receives a response indication from the fulfillment server. The processor generates a request for subsequent input, generates an updated conversation context based on the response indication and the intent, and transmits to the conversation agent server, the updated conversation context.