Stanford researchers have patented a hardware and software system designed for automated assisted steering that combines automated and human vehicle control within driving lanes.
Stanford engineers have developed a patented algorithm that improves search results from ranking the objects of a database when viewed as a graph (e.g. a web graph).
Stanford researchers have developed a method that allows for 3D semantic parsing of indoor spaces. It receives a 3D point cloud input which is parsed into individual spaces and specific components, such as structural and furniture.
Stanford researchers have patented an automated method for generating articulated human models consisting of both morphological and kinematic model data.
Stanford researchers have patented a data-driven method for building a human shape model that spans variation in both subject shape and pose. The method is based on a representation that incorporates both articulated and non-rigid deformations.
This invention describes a new type of spreadsheet that instead of using arithmetic to relate data entries uses logical relationships. This fundamentally changes how the spreadsheet works and increases the user's ability to manipulate and extrapolate scenarios.
Project Wayfinder is a project born at the Stanford d.school to help high school students develop a sense of meaning and purpose. Our core curriculum // product is called the Wayfinder Navigation Toolkit.
Stanford researchers have created software to facilitate the design of 2D steel truss and frame structures for buildings and civil infrastructure.The software helps with the optimization of topology and sizing design for these structures to minimize the total installed cost.
This patented technology is a scalable, reliable non-volatile memory device that uses graphene as a thermal barrier to improve energy efficiency and reliability of phase change material (PCM).
Stanford researchers have developed a new algorithm for reinforcement learning, which can learn to take good actions with potentially long term consequences in a general unknown complex system.
Researchers in Dr. Leonore Herzenberg's lab at Stanford have developed this technology and another (see Stanford Docket S15-009) to improve the ease and accuracy of flow cytometry experiments.
Researchers in Dr. Leonore Herzenberg's lab at Stanford University have developed a portfolio of data management, storage, and analysis technologies that may be used for large data sets.