Abstract: There is disclosed a method of automatically detecting a security vulnerability in a source code using a machine learning model, characterized in that the method comprises: obtaining the source code from a client codebase, wherein the client codebase is a complete or an incomplete body of the source code for a given software program or an application; and using a machine learning (ML) model to perform a ML based analysis on an abstract syntax tree (AST) for detecting a first security vulnerability over a static source code, the machine learning based analysis comprise (i) flattening the abstract syntax tree (AST) into a sequence of structured tokens, wherein the sequence of structured tokens comprises a semantic structure and a syntactic structure of the source code, (ii) implementing a natural language processing technique on the sequence of structured tokens for mapping the sequence of structured tokens to one or more integers, (iii) pre-training the machine learning model using an unlabeled source code as

Abstract: A method for (of) automatically detecting a security vulnerability in a source code using a machine learning model, characterized in that the method includes: obtaining the source code from a client codebase, wherein the client codebase is a complete or an incomplete body of the source code for a given software program or an application; and using a machine learning (ML) model to perform a ML based analysis on an abstract syntax tree (AST) for detecting a first security vulnerability over a static source code, the machine learning based analysis comprise (i) flattening the abstract syntax tree (AST) into a sequence of structured tokens, wherein the sequence of structured tokens includes a semantic structure and a syntactic structure of the source code, (ii) implementing a natural language processing technique on the sequence of structured tokens for mapping the sequence of structured tokens to one or more integers, (iii) pre-training the machine learning model using an unlabeled source code as an input to pre

Abstract: A method for (of) automatically detecting a security vulnerability in a source code using a machine learning model, characterized in that the method includes: obtaining the source code from a client codebase, wherein the client codebase is a complete or an incomplete body of the source code for a given software program or an application; and using a machine learning (ML) model to perform a ML based analysis on an abstract syntax tree (AST) for detecting a first security vulnerability over a static source code, the machine learning based analysis comprise (i) flattening the abstract syntax tree (AST) into a sequence of structured tokens, wherein the sequence of structured tokens includes a semantic structure and a syntactic structure of the source code, (ii) implementing a natural language processing technique on the sequence of structured tokens for mapping the sequence of structured tokens to one or more integers, (iii) pre-training the machine learning model using an unlabeled source code as an input to pre

Abstract: An ophthalmic surgical device in accordance with various embodiments of the present disclosure comprises an elongate element and a filament. The device may further comprise one or more of a shaft, an actuator, an actuator handle, a shaft handle, a vent, and a filament stop. The device may be used to mechanically push objects, as in retinal detachment repair, grasp objects, as in the removal of a dislocated intraocular lens or an intraocular foreign body, aspirate fluid, and cut materials, such as intraocular fragments.

Abstract: An ophthalmic surgical device in accordance with various embodiments of the present disclosure comprises an elongate element and a filament. The device may further comprise one or more of a shaft, an actuator, an actuator handle, a shaft handle, a vent, and a filament stop. The device may be used to mechanically push objects, as in retinal detachment repair, gasp objects, as in the removal of a dislocated intraocular lens or an intraocular foreign body, aspirate fluid, and cut materials, such as intraocular fragments.

Abstract: An ophthalmic surgical device in accordance with various embodiments of the present disclosure comprises an elongate element and a filament. The device may further comprise one or more of a shaft, an actuator, an actuator handle, a shaft handle, a vent, and a filament stop. The device may be used to mechanically push objects, as in retinal detachment repair, gasp objects, as in the removal of a dislocated intraocular lens or an intraocular foreign body, aspirate fluid, and cut materials, such as intraocular fragments.

Abstract: A skag for a ski, such as a vehicle ski. The skag includes a carrier platform to be attached to the bottom surface of a ski. First and second longitudinal rails are disposed on the bottom surface of the carrier platform. The longitudinal rails are spaced apart laterally from one another. The first and second rails are staggered, such that the forward end of the first rail is farther forward than the forward end of the second rail, and the aft end of the second rail is farther aft than the aft end of the first rail. The aft end of the first rail may be at least as far forward as the forward end of the second rail. At least one of the rails may have a longitudinal keel disposed thereon, and at least one of the rails may have a hard-surface weld-disposed thereon. When two skags are used together, as on two adjacent skis, the rails and/or keels on the skags may be arranged so that one skag is a mirror reverse of the other.

Abstract: A skag for a ski, such as a vehicle ski. The skag includes a carrier platform to be attached to the bottom surface of a ski. First and second longitudinal rails are disposed on the bottom surface of the carrier platform. The longitudinal rails are spaced apart laterally from one another. The first and second rails are staggered, such that the forward end of the first rail is farther forward than the forward end of the second rail, and the aft end of the second rail is farther aft than the aft end of the first rail. The aft end of the first rail may be at least as far forward as the forward end of the second rail. At least one of the rails may have a longitudinal keel disposed thereon, and at least one of the rails may have a hard-surface weld-disposed thereon. When two skags are used together, as on two adjacent skis, the rails and/or keels on the skags may be arranged so that one skag is a mirror reverse of the other.