Abstract: Systems and methods for using machine learning to dynamically manage product catalogs are disclosed. According to certain aspects, a set of machine learning models may analyze a set of data identifying a product to create or update a data record associated with the product, where the set of machine learning models may include a brand assignment model, a category assignment model, and a tag assignment model. Further, an entity resolution model may refine the data record, which may be organized according to a set of hierarchical data for the product. Additionally, a product catalog may be updated to identify the product according to the set of hierarchical data for the product.

Abstract: Clutch assemblies and related systems are provided. In some embodiments, the system comprises the clutch assembly, a circulation assembly, and an actuation mechanism operatively connected to the clutch assembly and the circulation assembly. In some embodiments, the clutch assembly allows for selective rotation of a bottom hole assembly of a drill string and the circulation assembly allows for selective exhausting of drilling fluid from the drill string. Related drill strings and methods for drilling a borehole are also provided.

Abstract: Clutch assemblies and related systems are provided. In some embodiments, the system comprises the clutch assembly, a circulation assembly, and an actuation mechanism operatively connected to the clutch assembly and the circulation assembly. In some embodiments, the clutch assembly allows for selective rotation of a bottom hole assembly of a drill string and the circulation assembly allows for selective exhausting of drilling fluid from the drill string. Related drill strings and methods for drilling a borehole are also provided.

Abstract: Systems and methods for using machine learning to dynamically manage product catalogs are disclosed. According to certain aspects, a set of machine learning models may analyze a set of data identifying a product to create or update a data record associated with the product, where the set of machine learning models may include a brand assignment model, a category assignment model, and a tag assignment model. Further, an entity resolution model may refine the data record, which may be organized according to a set of hierarchical data for the product. Additionally, a product catalog may be updated to identify the product according to the set of hierarchical data for the product.

Abstract: Clutch assemblies and related systems are provided. In some embodiments, the system comprises the clutch assembly, a circulation assembly, and an actuation mechanism operatively connected to the clutch assembly and the circulation assembly. In some embodiments, the clutch assembly allows for selective rotation of a bottom hole assembly of a drill string and the circulation assembly allows for selective exhausting of drilling fluid from the drill string. Related drill strings and methods for drilling a borehole are also provided.

Abstract: A system includes at least one processor to receive a vehicle reservation request comprising a vehicle delivery location, a start time, an end time, and a vehicle type from a mobile computing device, determine an appropriate vehicle for the vehicle reservation request from a plurality of vehicles, the appropriate vehicle selected based on a location of each of the plurality of the vehicles, the vehicle delivery location, a current fuel/energy level for each of the plurality of vehicles, an availability of each of the plurality of vehicles having the vehicle type between the start time and the end time, and traffic information, and dispatch the appropriate vehicle to arrive at the vehicle delivery location at the start time.