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Machine Learning Program that Diagnoses Hypoadrenocorticism in Dogs Using Standard Blood Test Results
Researchers at the University of California, Davis have developed a program based on machine learning algorithms to aid in diagnosing hypoadrenocorticism.
Applying a Neural Network Algorithm to Canine Radiographs to Help Detect Left Atrial Enlargement
Researchers at the University of California, Davis have developed a method of detecting canine left atrial enlargement by applying a neural network algorithm to right lateral radiographs.
Development of a CMOS-Compatible, Nano-photonic, Laser
Researchers at the University of California, Davis have developed a new class of lasers and amplifiers that uses a CMOS-compatible electronics platform - and can also be applied to nano-amplifiers and nano-lasers applications.
Deep Learning of Biomimetic Sensorimotor Control for Biomechanical Human Animation
UCLA researchers from the Department of Computer Science have developed a computer simulation model and associated software system for biomimetic human sensorimotor control.
Deep Learning Network and Compression Framework over Limited Bandwidth Network Links
Researchers at the University of California, Davis have developed a technology that enables the quantization of discrete wavelet transformed coefficients to reduce bandwidth for cloud-based storage applications.
Athermal Nanophotonic Lasers
Researchers at the University of California, Davis have developed a nanolaser platform built from materials that do not exhibit optical gain.
Multi-Wavelength, Nanophotonic, Neural Computing System
Researchers at the University of California, Davis have developed a multi-wavelength, Spiking, Nanophotonic, Neural Reservoir Computing (SNNRC) system with high-dimensional (HD) computing capability.
Orbital Magnetism In Two Dimensional Materials For Low-Dissipation Magnetic Memory And High-Temperature Resistance Metrology
Brief description not available
Local Oscillator Modulation for Non-Contiguous Carrier Aggregation
Stream-Based Memory Access Specialization For General Purpose Processors
Researchers led by Zhengrong Wang and Tony Nowatzki from the Computer Science Department at UCLA have created a way to improve computer processing power, speed, and efficiency by optimizing how processors access memory.
New Classes Of Cage And Polyhedron And New Classes Of Nanotube And Nanotube With Planar Faces
UCLA researchers have developed a novel algorithm that can be used to design unique self-assembled molecules and nanostructures.
Thermodynamic Integration Simulation Method for Filling Molecular Enclosures Using Spliced Soft-Core Interaction Potential
Researchers have developed a simulation method to determine the properties of molecular enclosures based on slow growth thermodynamic integration (SGTI).
System For Eliminating Clickbaiters On Visual-Centric Social Media
Researchers from the Department of Communication at UCLA have developed a system for identifying and eliminating clickbait from social media.
An Improved On-Chip Crosstalk Noise Model
Researchers led by Jason Cong from the Department of Computer Science at UCLA have developed an improved on-chip crosstalk noise model to optimize integrated circuit design.
SYSTEM AND METHOD TO OBTAIN HYPERSPECTRAL IMAGING IN HIGHLY SCATTERING MEDIA BY THE SPECTRAL PHASOR APPROACH
Hyperspectral imaging is a technique combining imaging and spectroscopy resulting in images with extraordinary precision and detail. Current approaches to capture hyperspectral images are costly and time-consuming. The proposed technique makes use of inexpensive filters and reduces the number of required exposures, thereby improving the efficiency and practicability of obtaining hyperspectral images.
A Method To Determine Cause Of A Cardiac Arrest And Provide Cause-Specific Decision Support In Real-Time Using Continuous Electrocardiography
Researchers led by Duc Hong Do from the Department of Cardiology at UCLA have developed an algorithm to detect the cause of cardiac arrest in a hospital setting.
A New Human-Monitor Interface For Interpreting Clinical Images
UCLA researchers in the Department of Radiological Sciences have invented a novel interactive tool that can rapidly focus and zoom on a large number of images using eye tracking technology.
Dicom/Pacs Compression Techniques
Researchers led by Xiao Hu from the Department of Surgery at UCLA have created a novel and convenient way to compress and query medical images from a PACS system.
A Method For Discovering And Downloading Hidden Web Content
Researchers in the Computer Science Department at UCLA have developed a method for searching hidden web content that has previously been difficult to gather for the end user.
A New Format For Representing And Encoding Images
Researchers in the Statistics and Computer Science Departments at UCLA have developed a method for image compression that is 5x more efficient than JPEG image coding.
Immersive Virtual Reality To Manage Pain
Researchers led by Mark Cohen from the Department of Psychiatry at UCLA have developed a virtual reality-based therapy to manage chronic pain.
A Device, Methodology And System For Monitoring, Classifying And Encouraging Activity
UCLA researchers in the Department of Computer Science have developed a new technology to fight the growing obesity epidemic by encouraging exercise.
RASP: FPGA/CPLD Technology Mapping And Synthesis Package
Researchers led by Jason Cong from the Computer Science Department at UCLA have developed a general synthesis and mapping system for SRAM-based FPGAs.
Privacy Preserving Stream Analytics
UCLA researchers in the Department of Computer Science have developed a new privacy preserving mechanism for stream analytics.
3D Population Maps for Noninvasively Identifying Phenotypes and Pathologies in Individual Patients
UCLA researchers in the Department of Radiological Sciences have developed a novel computation system that uses large imaging datasets to aid in clinical diagnosis and prognosis.