Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Abstract: According to one example, an article of cookware includes a substantially horizontal bottom having an interior surface and an opposing exterior surface, and a sidewall extending upward from the bottom to terminate at a rim. The bottom, the sidewall, and the rim define an interior volume for one or more food items. The sidewall has an inverted frustoconical shape with an upper portion, and a lower portion positioned below the upper portion. The upper portion has an outward tilt of less than about 10 degrees from a vertical line. The lower portion has an outward tilt that is at least about 15 degrees greater than the outward tilt of the upper portion.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Abstract: According to one example, an article of cookware includes a substantially horizontal bottom having an interior surface and an opposing exterior surface, and a sidewall extending upward from the bottom to terminate at a rim. The bottom, the sidewall, and the rim define an interior volume for one or more food items. The sidewall has an inverted frustoconical shape with an upper portion, and a lower portion positioned below the upper portion. The upper portion has an outward tilt of less than about 10 degrees from a vertical line. The lower portion has an outward tilt that is at least about 15 degrees greater than the outward tilt of the upper portion.

Abstract: According to one example, a carrying bag for storing and transporting a container with a lid positioned on the container, includes a bottom, at least four pliable sidewalls coupled to a perimeter of the bottom and that extend upward to an upper opening of the carrying bag, and a releasable closure configured to apply pressure to the lid so as to hold the lid in place on top of the container. Each of the four pliable sidewalls has a diagonal crease to collapse portions of the respective sidewall on opposing sides of the diagonal crease into each other as the four pliable sidewalls fold inward to form a trivet.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained machine learning model.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a providing automated natural dialog with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialog management device, an API server, and an NLP device. The dialog management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained-machine learning model.

Abstract: A system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to perform steps of a providing automated natural dialogue with a customer. The system may generate one or more events and commands temporarily stored in queues to be processed by one or more of a dialogue management device, an API server, and an NLP device. The dialogue management device may create adaptive responses to customer communications using a customer context, a rules-based platform, and a trained-machine learning model.

Abstract: An article retainer device that prevents various objects, dropped by children or others that may have difficulty holding onto objects, such as the elderly or disabled, from falling to the floor and assists the parent or caretaker in retrieving the fallen object. The flexible main strap of the article retainer is secured to the child's object while its other end is secured to a stable surface. A flexible retrieval strap is attached to the main strap. The length of the main strap can be adjusted ensure that the child's object does not fall to the floor when dropped. A parent or caretaker can retrieve a fallen object by taking hold of retrieval strap and pulling on the strap to raise the child's object up or pull the object towards him or her.