Abstract: An electric drive assembly includes a first electric motor, a second electric motor, a first speed reducer, a second speed reducer, and an electric motor controller. The first speed reducer is connected between the first electric motor and a first wheel, the second speed reducer is connected between the second electric motor and a second wheel, one of the first wheel and the second wheel is a left wheel, and the other one of the first wheel and the second wheel is a right wheel. The first electric motor, the second electric motor, the first speed reducer, and the second speed reducer are disposed in a U-shape, and form an electric motor controller mounting space configured to mount the electric motor controller.

Abstract: Systems and processes for operating a digital assistant are provided. In an example process, low-latency operation of a digital assistant is provided. In this example, natural language processing, task flow processing, dialogue flow processing, speech synthesis, or any combination thereof can be at least partially performed while awaiting detection of a speech end-point condition. Upon detection of a speech end-point condition, results obtained from performing the operations can be presented to the user. In another example, robust operation of a digital assistant is provided. In this example, task flow processing by the digital assistant can include selecting a candidate task flow from a plurality of candidate task flows based on determined task flow scores. The task flow scores can be based on speech recognition confidence scores, intent confidence scores, flow parameter scores, or any combination thereof. The selected candidate task flow is executed and corresponding results presented to the user.

Abstract: The present disclosure relates to a method for preparing a self-cleaning anti-icing coating based on brushlike organosilicon. In this method, a brushlike organosilicon-modified polyurethane coating is prepared by subjecting a thiolactone, a diamine compound and monovinyl-terminated polydimethylsiloxane to a simple multi-component click reaction to obtain a dihydroxy-terminated block, and introducing the dihydroxy-terminated block into a polyurethane matrix.

Abstract: Systems and processes for operating a digital assistant are provided. In an example process, low-latency operation of a digital assistant is provided. In this example, natural language processing, task flow processing, dialogue flow processing, speech synthesis, or any combination thereof can be at least partially performed while awaiting detection of a speech end-point condition. Upon detection of a speech end-point condition, results obtained from performing the operations can be presented to the user. In another example, robust operation of a digital assistant is provided. In this example, task flow processing by the digital assistant can include selecting a candidate task flow from a plurality of candidate task flows based on determined task flow scores. The task flow scores can be based on speech recognition confidence scores, intent confidence scores, flow parameter scores, or any combination thereof. The selected candidate task flow is executed and corresponding results presented to the user.

Abstract: Systems and processes for operating a digital assistant are provided. In an example process, low-latency operation of a digital assistant is provided. In this example, natural language processing, task flow processing, dialogue flow processing, speech synthesis, or any combination thereof can be at least partially performed while awaiting detection of a speech end-point condition. Upon detection of a speech end-point condition, results obtained from performing the operations can be presented to the user. In another example, robust operation of a digital assistant is provided. In this example, task flow processing by the digital assistant can include selecting a candidate task flow from a plurality of candidate task flows based on determined task flow scores. The task flow scores can be based on speech recognition confidence scores, intent confidence scores, flow parameter scores, or any combination thereof. The selected candidate task flow is executed and corresponding results presented to the user.

Abstract: Systems and processes for operating a digital assistant are provided. In an example process, low-latency operation of a digital assistant is provided. In this example, natural language processing, task flow processing, dialogue flow processing, speech synthesis, or any combination thereof can be at least partially performed while awaiting detection of a speech end-point condition. Upon detection of a speech end-point condition, results obtained from performing the operations can be presented to the user. In another example, robust operation of a digital assistant is provided. In this example, task flow processing by the digital assistant can include selecting a candidate task flow from a plurality of candidate task flows based on determined task flow scores. The task flow scores can be based on speech recognition confidence scores, intent confidence scores, flow parameter scores, or any combination thereof. The selected candidate task flow is executed and corresponding results presented to the user.

Abstract: Systems and processes for operating a digital assistant are provided. In an example process, low-latency operation of a digital assistant is provided. In this example, natural language processing, task flow processing, dialogue flow processing, speech synthesis, or any combination thereof can be at least partially performed while awaiting detection of a speech end-point condition. Upon detection of a speech end-point condition, results obtained from performing the operations can be presented to the user. In another example, robust operation of a digital assistant is provided. In this example, task flow processing by the digital assistant can include selecting a candidate task flow from a plurality of candidate task flows based on determined task flow scores. The task flow scores can be based on speech recognition confidence scores, intent confidence scores, flow parameter scores, or any combination thereof. The selected candidate task flow is executed and corresponding results presented to the user.

Abstract: The present disclosure relates to a method for preparing a self-cleaning anti-icing coating based on brushlike organosilicon. In this method, a brushlike organosilicon-modified polyurethane coating is prepared by subjecting a thiolactone, a diamine compound and monovinyl-terminated polydimethylsiloxane to a simple multi-component click reaction to obtain a dihydroxy-terminated block, and introducing the dihydroxy-terminated block into a polyurethane matrix.

Abstract: The present invention discloses a lithium battery package comprising a housing (100), a lithium battery pack and a circuit board (400), wherein the lithium battery pack comprises a lithium battery holder (200) and a number of lithium cells (300) mounted within the lithium battery holder (200), and two sides of the lithium battery holder (200) are mounted respectively with metal pin means (500) coupled with the lithium cells (300), wherein the housing (100) is provided with a charging adaptor (111); a bottom portion at each side of the charging adaptor (111) is provided with a chute (115) along its length direction; a front end of the charging adaptor (111) is provided with six charging sockets (112); the housing (100) is further provided with a locking structure for locking an electric lood.

Abstract: Systems and processes for operating a digital assistant are provided. In an example process, low-latency operation of a digital assistant is provided. In this example, natural language processing, task flow processing, dialogue flow processing, speech synthesis, or any combination thereof can be at least partially performed while awaiting detection of a speech end-point condition. Upon detection of a speech end-point condition, results obtained from performing the operations can be presented to the user. In another example, robust operation of a digital assistant is provided. In this example, task flow processing by the digital assistant can include selecting a candidate task flow from a plurality of candidate task flows based on determined task flow scores. The task flow scores can be based on speech recognition confidence scores, intent confidence scores, flow parameter scores, or any combination thereof. The selected candidate task flow is executed and corresponding results presented to the user.

Abstract: Systems and processes for operating a digital assistant are provided. In an example process, low-latency operation of a digital assistant is provided. In this example, natural language processing, task flow processing, dialogue flow processing, speech synthesis, or any combination thereof can be at least partially performed while awaiting detection of a speech end-point condition. Upon detection of a speech end-point condition, results obtained from performing the operations can be presented to the user. In another example, robust operation of a digital assistant is provided. In this example, task flow processing by the digital assistant can include selecting a candidate task flow from a plurality of candidate task flows based on determined task flow scores. The task flow scores can be based on speech recognition confidence scores, intent confidence scores, flow parameter scores, or any combination thereof. The selected candidate task flow is executed and corresponding results presented to the user.

Abstract: The present invention discloses a lithium battery package comprising a housing (100), a lithium battery pack and a circuit board (400), wherein the lithium battery pack comprises a lithium battery holder (200) and a number of lithium cells (300) mounted within the lithium battery holder (200), and two sides of the lithium battery holder (200) are mounted respectively with metal pin means (500) coupled with the lithium cells (300), wherein the housing (100) is provided with a charging adaptor (111); a bottom portion at each side of the charging adaptor (111) is provided with a chute (115) along its length direction; a front end of the charging adaptor (111) is provided with six charging sockets (112); the housing (100) is further provided with a locking structure for locking an electric lood.

Abstract: Systems and processes for operating a digital assistant are provided. In an example process, low-latency operation of a digital assistant is provided. In this example, natural language processing, task flow processing, dialogue flow processing, speech synthesis, or any combination thereof can be at least partially performed while awaiting detection of a speech end-point condition. Upon detection of a speech end-point condition, results obtained from performing the operations can be presented to the user. In another example, robust operation of a digital assistant is provided. In this example, task flow processing by the digital assistant can include selecting a candidate task flow from a plurality of candidate task flows based on determined task flow scores. The task flow scores can be based on speech recognition confidence scores, intent confidence scores, flow parameter scores, or any combination thereof. The selected candidate task flow is executed and corresponding results presented to the user.

Abstract: A power tool having a depth adjustment mechanism includes a motor housing, a support base for supporting the motor housing, and a depth adjustment member coupled to the support base and movable between two positions. The depth adjustment member in a first position contacts a surface portion of the motor housing and in a second position is distanced from the surface portion of the motor housing such that the movement of the depth adjustment member from the first position to the second position is in a direction parallel to a plane that is substantially tangent to the surface portion of the motor housing.

Abstract: A power tool having a depth adjustment mechanism includes a motor housing, a support base for supporting the motor housing, and a depth adjustment member coupled to the support base and movable between two positions. The depth adjustment member in a first position contacts a surface portion of the motor housing and in a second position is distanced from the surface portion of the motor housing such that the movement of the depth adjustment member from the first position to the second position is in a direction parallel to a plane that is substantially tangent to the surface portion of the motor housing.