Researchers in Prof. Michael Genesereth's laboratory have developed "count indexes", a unique indexing scheme to efficiently update run-length encoded columns in column stores.
Stanford researchers have patented an image sensor that overcomes frame rate and power consumption limits for high-speed mega-pixel imaging, and therefore can extend battery life for mobile phone cameras.
An interdisciplinary team of Stanford University researchers have developed a novel interpenetrating polymer network hydrogel that is useful for a wide variety of medical, industrial and personal hygiene applications.
W.E. Moerner and Adam Cohen have patented the Anti-Brownian ELectrokinetic trap (ABEL trap) which can trap, measure, and manipulate sub-micron objects (e.g. single molecules) in solution at ambient temperature.
Researchers in Prof. Zhenan Bao's laboratory have developed a high-performance, self-healing dielectric elastomer that could be used in stretchable electronics or robotic applications.
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.
Stanford researchers developed a strong, flexible, high heat transfer architecture for electronics packaging interfacial material. The resins currently used in electronics packaging are a thermal management bottleneck.
A team of Stanford engineers have developed a fast adaptive optics system for scanning, 3D imaging and sensing with a small (50 µm) multimode fiber (MMF).
Researchers in Prof. James Swartz' laboratory have developed a rapid bioluminescence method for detecting and enumerating circulating tumor cells (CTCs) and other rare cells. This invention utilizes novel nanoparticle reagents which can specifically bind to cells of interest.
GateFinder is a flexible, automated, objective algorithm that quickly analyzes complex mass cytometry datasets to identify simple signatures (“gates”) for FACS (fluorescent automated cell sorting) purification.
Stanford researchers have developed a new technology to create a programmable yet low power processing core targeting imaging systems. This core is built around a 2D-stencil processing data-path.
Stanford researchers developed a method to increase microbial fermentation gas transfer – a limiting factor in the production of bio products such as polyhydroxyalkanoates (PHAs).
Stanford researchers have developed a camera technology that performs range and velocity measurement in a per-pixel manner offering a fundamentally new imaging modality with existing consumer time of flight camera hardware.