Stanford has patented a fully homomorphic encryption (FHE) method, computer program, and apparatus that grant the ability to outsource data processing without giving away access to the data.
Stanford researchers have developed a streamlined method for simultaneously estimating a broad range of hydrocarbon fuel physical and chemical properties for a wide range of fuels.
Researchers in Prof. Christina Smolke's laboratory have engineered a conditional protein expression platform that enables complex regulatory programming in higher organisms through control of alternative splicing.
Stanford inventors from Professor Rhiju Das's lab have developed a method to optimize nucleic acids, including aptamers and messenger RNAs to be more effective in clinical settings.
Researchers in Stanford's Materials Science department have developed a method that makes use of core-shell nanowires for improved power rate and cycling life for the lithium battery.
This software tool takes clinical notes from veterinary electronic medical records and assigns SNOMED-CT VET extension diagnostic codes based on the content written on the notes.
Stanford researchers have discovered a fast, discriminative method for inferring local ancestry and correcting phase errors. This local ancestry inference method is both faster and more accurate than the previous state-of-the-art.
Researchers in Prof. Yi Cui's laboratory have used a novel electrospinning process to fabricate a unique, transparent, highly conductive metal nanofiber material that could be used to replace indium tin oxide (ITO) in transparent electrodes.
Researchers in Prof. Steven Chu's laboratory have developed a fundamentally new method of acoustic imaging to improve resolution of ultrasound diagnostics.
Stanford researchers developed a method to make large phase shifts with little or no power dissipation in integrated optics. The approach uses a directional coupler moved by a MEMS actuator to achieve a path delay, i.e. an effective change in refractive index.
Background. Image content description is used in a wide range of applications, including web-scale image search and real-time object recognition, but the effectiveness is constrained by a computational bottleneck.
The invention introduces a method for providing compact descriptors for visual search, in which local image features are extracted and a global image signature is formed from these local descriptors. Global features may be much smaller than local features.