During post-silicon validation and debug, manufactured integrated circuits (ICs) are tested in actual system environments to detect and fix design flaws (bugs). Existing techniques are costly due to ad hoc, manual methods.
Researchers at Stanford have developed, for the first time, a component analysis algorithm that does not require any assumption on the data structure or data generation process to find out the important components or trends in data.
Researchers at Stanford have developed a distributed digital "black box" audit trail design for connected and automated vehicle data and software assurance.
Volumetric contrast-enhanced ultrasound is a new approach to collect 3D imaging data of a contrast signal. So far, analysis of 3D contrast ultrasound has relied on averaging a set of voxels embedded in an ROI or a VOI.
Stanford researchers have patented an automated computer management system which can virtualize computers as well as the network of virtual machines to automatically and easily manage a large number of computers.
Researchers at Stanford University, Technical University of Denmark, and Norwegian University of Science and Technology have developed a software suite that can predict long-term performance of reinforced concrete based on multiple, fundamental, physics phenomenon like humidit
Stanford researchers have integrated concrete durability modeling software into building information models (BIM) for better management, repair, and assessment of structural elements like roads, bridges, dams, buildings, etc.
Researchers at Stanford have demonstrated a new type of energy-efficient and ultrathin memory. This low-energy cost memory is based on stacking orders in the atomically thin limit, associated with tiny changes in the position of one atomic layer with respect to another.
Artificial intelligence can be leveraged to evaluate how facial expressions will be perceived by others. A deep learning neural network is used to generate facial vectors for each image of a person.