Stanford researchers have developed a method called KleinPAT, for creating sound models in seconds, making it cost effective to simulate sounds for many different objects in a virtual environment.
Engineers in the Solgaard lab have developed a high-speed, random access grating light valve (GLV) for phase modulation to steer and focus light in LIDAR and 3D imaging applications.
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 in Professor Rhiju Das's lab have devised a method called RNAMake to optimize nucleic acids, such as aptamers and messenger RNAs, and enhance their effectiveness for clinical settings.
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.
This invention offers a cost-effective solution to streaming video to mobile users. A prototype has been implemented in software, demonstrating its low operational cost based on peer-to-peer technology and its robustness to peer failure.
Local image features have become pervasive in the areas of computer vision and image retrieval and are increasingly finding application in real-time object recognition, 3-D reconstruction, panorama stitching, robotic mapping, and video tracking.
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.
A system for enabling streaming video to a mobile client includes a plurality of fixed node peers linked to the mobile client via one or more networks as well as a video source linked to fixed node peers and configured to provide streaming video data representing a video prese
Stanford researchers in the Dai Lab have developed the first ultra-bright cubic-phase erbium-based rare-earth nanoparticles (α-ErNPs) with down-shifting luminescence at ~ 1600 nm for in vivo NIR-IIb (1500-1700 nm) imaging with deep penetration and high clarity.
Stanford researchers at the Camarillo Lab have designed a real-time screening device system for predicting risk of concussion resulting from head impacts.
Stanford researchers have developed an exceptionally fast, sensitive, and compact X-ray imaging system for distinguishing liquids and other materials in aviation security applications.
Stanford inventors have developed a new approach to tackling the vergence-accommodation conflict, which is a common contributor to discomfort associated with virtual reality setups.