Abstract: A method for detection of a keyword in a continuous stream of audio signal, by using a dilated convolutional neural network, implemented by one or more computers embedded on a device, the dilated convolutional network comprising a plurality of dilation layers, including an input layer and an output layer, each layer of the plurality of dilation layers comprising gated activation units, and skip-connections to the output layer, the dilated convolutional network being configured to generate an output detection signal when a predetermined keyword is present in the continuous stream of audio signal, the generation of the output detection signal being based on a sequence of successive measurements provided to the input layer, each successive measurement of the sequence being measured on a corresponding frame from a sequence of successive frames extracted from the continuous stream of audio signal, at a plurality of successive time steps.

Abstract: A method for detection of a keyword in a continuous stream of audio signal, by using a dilated convolutional neural network, implemented by one or more computers embedded on a device, the dilated convolutional network comprising a plurality of dilation layers, including an input layer and an output layer, each layer of the plurality of dilation layers comprising gated activation units, and skip-connections to the output layer, the dilated convolutional network being configured to generate an output detection signal when a predetermined keyword is present in the continuous stream of audio signal, the generation of the output detection signal being based on a sequence of successive measurements provided to the input layer, each successive measurement of the sequence being measured on a corresponding frame from a sequence of successive frames extracted from the continuous stream of audio signal, at a plurality of successive time steps.

Abstract: A method for detection of a keyword in a continuous stream of audio signal, by using a dilated convolutional neural network, implemented by one or more computers embedded on a device, the dilated convolutional network comprising a plurality of dilation layers, including an input layer and an output layer, each layer of the plurality of dilation layers comprising gated activation units, and skip-connections to the output layer, the dilated convolutional network being configured to generate an output detection signal when a predetermined keyword is present in the continuous stream of audio signal, the generation of the output detection signal being based on a sequence of successive measurements provided to the input layer, each successive measurement of the sequence being measured on a corresponding frame from a sequence of successive frames extracted from the continuous stream of audio signal, at a plurality of successive time steps.

Abstract: In an embodiment, a computer-implemented method for using virtual tunnel interface teaming to achieve load balance and redundancy in virtual private networks (“VPNs”) is disclosed. In an embodiment, a method comprises: receiving, by a gateway, configuration data from a control plane; based on the configuration data, configuring on the gateway a bonded virtual tunnel interface (“bonded VTI”) having a plurality of slave virtual tunnel interfaces (“slave VTIs”); configuring a plurality of VPN tunnels between the plurality of slave VTIs configured on the gateway and a plurality of slave VTIs configured on a remote gateway; configuring an IPsec VPN tunnel between the bonded VTI configured on the gateway and a corresponding bonded VTI configured on the remote gateway; logically combining the plurality of VPN tunnels into the IPsec VPN tunnel; and enabling communications of IPsec VPN traffic via the IPsec VPN tunnel.

Abstract: A method for detection of a keyword in a continuous stream of audio signal, by using a dilated convolutional neural network (DCNN), implemented by one or more computers embedded on a device, the dilated convolutional network (DCNN) comprising a plurality of dilation layers (DL), including an input layer (IL) and an output layer (OL), each layer of the plurality of dilation layers (DL) comprising gated activation units, and skip-connections to the output layer (OL), the dilated convolutional network (DCNN) being configured to generate an output detection signal when a predetermined keyword is present in the continuous stream of audio signal, the generation of the output detection signal being based on a sequence (SSM) of successive measurements (SM) provided to the input layer (IL), each successive measurement (SM) of the sequence (SSM) being measured on a corresponding frame from a sequence of successive frames extracted from the continuous stream of audio signal, at a plurality of successive time steps.

Abstract: A method for detection of a keyword in a continuous stream of audio signal, by using a dilated convolutional neural network (DCNN), implemented by one or more computers embedded on a device, the dilated convolutional network (DCNN) comprising a plurality of dilation layers (DL), including an input layer (IL) and an output layer (OL), each layer of the plurality of dilation layers (DL) comprising gated activation units, and skip-connections to the output layer (OL), the dilated convolutional network (DCNN) being configured to generate an output detection signal when a predetermined keyword is present in the continuous stream of audio signal, the generation of the output detection signal being based on a sequence (SSM) of successive measurements (SM) provided to the input layer (IL), each successive measurement (SM) of the sequence (SSM) being measured on a corresponding frame from a sequence of successive frames extracted from the continuous stream of audio signal, at a plurality of successive time steps.

Abstract: In an embodiment, a computer-implemented method for using virtual tunnel interface teaming to achieve load balance and redundancy in virtual private networks (“VPNs”) is disclosed. In an embodiment, a method comprises: receiving, by a gateway, configuration data from a control plane; based on the configuration data, configuring on the gateway a bonded virtual tunnel interface (“bonded VTI”) having a plurality of slave virtual tunnel interfaces (“slave VTIs”); configuring a plurality of VPN tunnels between the plurality of slave VTIs configured on the gateway and a plurality of slave VTIs configured on a remote gateway; configuring an IPsec VPN tunnel between the bonded VTI configured on the gateway and a corresponding bonded VTI configured on the remote gateway; logically combining the plurality of VPN tunnels into the IPsec VPN tunnel; and enabling communications of IPsec VPN traffic via the IPsec VPN tunnel.

Abstract: Example methods are provided for a first routing component to handle failure at a logical router in a first network. One method may comprise learning first path information associated with a first path provided by an active second routing component, and second path information associated with a second path provided by a standby second routing component. The method may also comprise in response to detecting a first egress packet destined for a second network, sending the first egress packet to the active second routing component based on the first path information. The method may further comprise in response to detecting a failure at the active second routing component and detecting a second egress packet destined for the second network, sending the second egress packet to a new active second routing component based on the second path information.

Abstract: In an embodiment, a computer-implemented method for using virtual tunnel interface teaming to achieve load balance and redundancy in virtual private networks (“VPNs”) is disclosed. In an embodiment, a method comprises: receiving, by a gateway, configuration data from a control plane; based on the configuration data, configuring on the gateway a bonded virtual tunnel interface (“bonded VTI”) having a plurality of slave virtual tunnel interfaces (“slave VTIs”); configuring a plurality of VPN tunnels between the plurality of slave VTIs configured on the gateway and a plurality of slave VTIs configured on a remote gateway; configuring an IPsec VPN tunnel between the bonded VTI configured on the gateway and a corresponding bonded VTI configured on the remote gateway; logically combining the plurality of VPN tunnels into the IPsec VPN tunnel; and enabling communications of IPsec VPN traffic via the IPsec VPN tunnel.

Abstract: A method for detection of a keyword in a continuous stream of audio signal, by using a dilated convolutional neural network (DCNN), implemented by one or more computers embedded on a device, the dilated convolutional network (DCNN) comprising a plurality of dilation layers (DL), including an input layer (IL) and an output layer (OL), each layer of the plurality of dilation layers (DL) comprising gated activation units, and skip-connections to the output layer (OL), the dilated convolutional network (DCNN) being configured to generate an output detection signal when a predetermined keyword is present in the continuous stream of audio signal, the generation of the output detection signal being based on a sequence (SSM) of successive measurements (SM) provided to the input layer (IL), each successive measurement (SM) of the sequence (SSM) being measured on a corresponding frame from a sequence of successive frames extracted from the continuous stream of audio signal, at a plurality of successive time steps.

Abstract: In an embodiment, a computer-implemented method for using virtual tunnel interface teaming to achieve load balance and redundancy in virtual private networks (“VPNs”) is disclosed. In an embodiment, a method comprises: receiving, by a gateway, configuration data from a control plane; based on the configuration data, configuring on the gateway a bonded virtual tunnel interface (“bonded VTI”) having a plurality of slave virtual tunnel interfaces (“slave VTIs”); configuring a plurality of VPN tunnels between the plurality of slave VTIs configured on the gateway and a plurality of slave VTIs configured on a remote gateway; configuring an IPsec VPN tunnel between the bonded VTI configured on the gateway and a corresponding bonded VTI configured on the remote gateway; logically combining the plurality of VPN tunnels into the IPsec VPN tunnel; and enabling communications of IPsec VPN traffic via the IPsec VPN tunnel.

Abstract: The technology disclosed herein enables network traffic routing using a hybrid routing table. In a particular embodiment, a method provides adding a first portion of a network prefix to one or more tiers of one or more tries in the hybrid routing table. Upon reaching a lowest node of the one or more tries when adding the first portion of the network prefix, the method provides adding key information to the lowest node. The key information and at least a second portion of the network prefix comprise a key to locate a value in a hash table of the hybrid routing table. The value indicates routing information for the network prefix. Additionally, the method provides routing packets using the hybrid routing table.

Abstract: A method for detection of a keyword in a continuous stream of audio signal, by using a dilated convolutional neural network (DCNN), implemented by one or more computers embedded on a device, the dilated convolutional network (DCNN) comprising a plurality of dilation layers (DL), including an input layer (IL) and an output layer (OL), each layer of the plurality of dilation layers (DL) comprising gated activation units, and skip-connections to the output layer (OL), the dilated convolutional network (DCNN) being configured to generate an output detection signal when a predetermined keyword is present in the continuous stream of audio signal, the generation of the output detection signal being based on a sequence (SSM) of successive measurements (SM) provided to the input layer (IL), each successive measurement (SM) of the sequence (SSM) being measured on a corresponding frame from a sequence of successive frames extracted from the continuous stream of audio signal, at a plurality of successive time steps.

Abstract: Disclosed are systems and methods for improving interactions between servers in a messaging system supported by or configured with content providing servers or platforms. The disclosed systems interact to filter data across platforms, which data can be used to improve the contextual quality of data used in processing interactions between or among processors in such systems. The disclosed computer systems and methods enable the communication of contextually relevant Hypertext Markup Language (HTML) content to a user's inbox. Such messages are native to a communication platform, application or service associated with the user's inbox. Such messages can be selected for delivery to a user based on the user's profile data, behavioral information, a user's geographic location, demographic information, a time period, and the like.

Abstract: The technology disclosed herein enables network traffic routing using a hybrid routing table. In a particular embodiment, a method provides adding a first portion of a network prefix to one or more tiers of one or more tries in the hybrid routing table. Upon reaching a lowest node of the one or more tries when adding the first portion of the network prefix, the method provides adding key information to the lowest node. The key information and at least a second portion of the network prefix comprise a key to locate a value in a hash table of the hybrid routing table. The value indicates routing information for the network prefix. Additionally, the method provides routing packets using the hybrid routing table.

Abstract: The technology disclosed herein enables network traffic routing using a hybrid routing table. In a particular embodiment, a method provides adding a first portion of a network prefix to one or more tiers of one or more tries in the hybrid routing table. Upon reaching a lowest node of the one or more tries when adding the first portion of the network prefix, the method provides adding key information to the lowest node. The key information and at least a second portion of the network prefix comprise a key to locate a value in a hash table of the hybrid routing table. The value indicates routing information for the network prefix. Additionally, the method provides routing packets using the hybrid routing table.

Abstract: The technology disclosed herein enables network traffic routing using a hybrid routing table. In a particular embodiment, a method provides adding a first portion of a network prefix to one or more tiers of one or more tries in the hybrid routing table. Upon reaching a lowest node of the one or more tries when adding the first portion of the network prefix, the method provides adding key information to the lowest node. The key information and at least a second portion of the network prefix comprise a key to locate a value in a hash table of the hybrid routing table. The value indicates routing information for the network prefix. Additionally, the method provides routing packets using the hybrid routing table.

Abstract: Example methods are provided for a first routing component to handle failure at a logical router in a first network. One method may comprise learning first path information associated with a first path provided by an active second routing component, and second path information associated with a second path provided by a standby second routing component. The method may also comprise in response to detecting a first egress packet destined for a second network, sending the first egress packet to the active second routing component based on the first path information. The method may further comprise in response to detecting a failure at the active second routing component and detecting a second egress packet destined for the second network, sending the second egress packet to a new active second routing component based on the second path information.

Abstract: Disclosed are systems and methods for improving interactions between servers in a messaging system supported by or configured with content providing servers or platforms. The disclosed systems interact to filter data across platforms, which data can be used to improve the contextual quality of data used in processing interactions between or among processors in such systems. The disclosed computer systems and methods enable the communication of contextually relevant Hypertext Markup Language (HTML) content to a user's inbox. Such messages are native to a communication platform, application or service associated with the user's inbox. Such messages can be selected for delivery to a user based on the user's profile data, behavioral information, a user's geographic location, demographic information, a time period, and the like.