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Network On Interconnect Fabric

Researchers at the UCLA Department of Electrical & Computer Engineering have developed a novel network on interconnect fabric (NoIF) to support global communication, power conversion and management, synchronization, and to facilitate testing within the silicon interconnect fabric (Si-IF).

Fully Actuated Propeller Mount Design For Unmanned Aerial Vehicles

UCLA researchers in the Department of Mechanical and Aerospace Engineering have developed a novel system to allow an unmanned aerial vehicle to assume any orientation or position in three-dimensional space, with the use of fully actuated propellers.

Wearable Real-Time Gait Analysis And Sensory Feedback System For Gait Rehabilitation And Biomechanical Optimization

UCLA researchers in the Department of Bioengineering have developed a wearable sensory feedback system that provides instructive tactile feedback to guide the user towards biomechanical gait improvements, based on real-time motion analysis derived from wearable sensor data.

Intelligent Flexible Spinal Cord Stimulators For Pain And Trauma Management Through Neuromodulation

UCLA researchers in the Department of Neurosurgery and Electrical Engineering have developed a novel closed-loop spinal cord stimulator device that is small and flexible.

Microfluidic Interfacial Magnetic Separation (MIMS)

UCLA researchers in the Department of Medicine and Bioengineering have developed a novel magnetic method for sorting cells.

Flexible And Stretchable Interconnects For Flexible Systems And Flextrate(Tm)

Researchers led by Professor Subramanian Iyer from the Department of Electrical Engineering at UCLA have developed a novel fabrication technique to create stretchable electronics.

Multi-Frequency Harmonic Acoustography for Target Identification and Border Detection

UCLA researchers in the Department of Bioengineering, Electrical Engineering, and Head and Neck Surgery have developed a novel ultrasound-based imaging technique that can be used to analyze tumor margins during surgery.

Boundary Learning Optimization Tool

UCLA researchers in the Department of Mechanical Engineering have developed a computational tool that rapidly identifies material designs with optimal performance.

Upconversion Plasmonic Mapping: A Direct Plasmonic Visualization And Spectrometer-Free Sensing Method

Researchers led by Xiangfeng Duan from the Department of Chemistry and Biochemistry at UCLA have developed a cheap and efficient way to map surface plasmon polaritons in order to detect trace amounts of biomolecules.

Graphene Nanomesh As A Glucose Sensor

UCLA researchers in the Departments of Chemistry & Biochemistry and of Materials Science & Engineering have developed a glucose sensor based on a graphene nanomesh (GNM) material. The nanoscale GNM glucose sensor provides the potential for in vivo glucose sensing with high selectivity and high sensitivity.

Quantitative Deformability Cytometry: Rapid, Calibrated Measurements Of Cell Mechanical Properties

UCLA researchers in the Department of Integrative Biology and Physiology have developed a novel microfluidic device that enables rapid measurement of cell mechanical properties.

A High-Efficiency 28-GHz Outphasing PA with 23-dBm Output Power Using a Triaxial Balun Combiner

There is a growing demand for broadband-cellular traffic which is the catalyst toward 5G wireless standardization for the roll-out of gigabit-per-second mm-Wave technology in the next few years. Gigabit-per-second millimeter-wave (mm-wave) access and backhaul networks at 28GHz demand high-order QAM, OFDM, and/or carrier-aggregated waveforms that force the PA to operate under high peak-to-average power ratio (PAPR). High PAPR requirements aggravate the design of mm-wave Si CMOS and SiGe BiCMOS PAs since a linear response and high efficiency are simultaneously desired. Recent work has demonstrated mm-wave PAs with peak efficiency exceeding 30% at 28GHz for output powers above 20dBm. However, high average efficiency associated with high-PAPR waveforms remains elusive. To improve average efficiency, circuit techniques based on Doherty and outphasing have been demonstrated in mm-wave bands. Earlier work using these techniques showed average efficiency with QAM waveforms that is well under 20%.

Local Binary Pattern Network (LBPN)

Convolutional Neural Networks (CNN) have had a notable impact on many applications. Modern CNN architectures such as AlexNet, VGG, GoogLetNet, and ResNet have greatly advanced the use of deep learning techniques into a wide range of computer vision applications. These gains have surely benefited from the continuing advances in computing and storage capabilities of modern computing machines. Memory and computation efficient deep learning architectures are an active area of research in machine learning and computer architecture. Model size reduction and efficiency gains have been reported by selectively using binarization of operations in convolutional neural networks that approximate convolution by reducing floating point arithmetic operations. 

An Efficient Architecture To Compute Sparse Neural Network

UCLA researchers in the Department of Electrical Engineeringhave developed a novelhardware architecture for computing sparse neural networks.

Automated Immersion Mode Ice Spectroscopy

Ice nucleating particles (INPs) suspended in the Earth’s atmosphere influence cloud properties and can affect the overall precipitation efficiency and predictability of cloud systems worldwide. INPs induce freezing of cloud droplets at temperatures above their normal freezing-point (~-38 C), and at a relative humidity (RH) below the normal freezing RH of aqueous solution droplets at lower temperatures. These INP induced variabilities influence cloud lifetime, phase, as well as cloud optical and microphysical properties. Developing a relational model of INPs in global climate models has proven challenging as existing instrumentation systems either require too much air volume (in real-time flow instruments) or exhibit too much temperature variability (in off-line frozen assay based instruments).  Thus, there is a real urgency to address this unmet need.

A Bi-Functional Lewis Base Additive For Microscopic Homogeneity In Perovskite Solar Cells

UCLA researchers in the department of Materials Science & Engineering have discovered a novel Lewis base additive that decreases heterogeneity in perovskite thin films.

Calcium Scoring Using Parallel Tomosynthesis

Researchers at UCLA in the Department of Radiology have developed a cheaper and safer way to measure coronary calcium levels to predict heart disease.

High-Temperature & High Strength Co-base Superalloy

Cobalt-based superalloys that possess both high strength and good oxidation resistance above 1100˚C (2012˚F). This class of Co-base alloys is relatively new, and for the first time, compositions that combine high precipitate solvus temperatures (for high strength) with the ability to form alumina during high temperature exposure (for high oxidation resistance) have been designed.

Highly Sensitive, Conformal And Wearable In2O3 Nanoribbon Transistor Biosensors With Integrated On Chip Side Gate For Glucose Monitoring In Body Fluid

UCLA researchers in the Department of Electrical Engineering have invented a novel wearable sensor that is capable of measuring glucose levels in bodily fluids.

Non-Mechanical Multi-Wavelength Integrated Photonic Beam Steering Device

Today, projecting optical energy is performed using high power laser sources coupled to free-space optical systems comprised of mechanical components, moving parts, and bulk optics. Unfortunately, the application range of these legacy systems is limited by their size, weight, reliability and cost. Consequently, a substantial research effort has been directed toward the miniaturization and simplification of these systems. Recent work has focused on beam steering using phased arrays. Although optical phased arrays are an elegant non-mechanical beam steering approach, the technical and environmental challenges compared to RF systems (10,000 times smaller wavelengths and tolerances) are daunting. Multi-octave operation across the UV to LWIR regions with acceptable losses poses additional technical challenge for any optical phased array beam steering approach. For these reasons, a need exists for a non-mechanical beam steering approach that lends itself to miniaturization as well as high power ultra-wideband operation.

High Stability PtNiX-M Electrochemical Catalyst

UCLA researchers in the Department of Material Science and Engineering have invented a novel and highly stable platinum-based catalyst material for fuel cell technologies.

Trainable Filter Emulator For Real-Time Control Systems

Researchers led by Dr. Cong from the Department of Computer Science at UCLA have developed an algorithm that enables real-time control in brain-machine interface applications.

Stable Alloy Of Palladium Hydride With High Hydrogen Content

Researchers led by Yu Huang from the Department of Chemistry and Biochemistry at UCLA have developed a cheap and simple way to create palladium hydride with high hydrogen content.

Power Distribution within Silicon Interconnect Fabric

UCLA researchers in the Department of Electrical Engineering have developed a novel method of powering systems on silicon interconnect fabrics for integration of packageless processors.

A Digital LDO Employing A Switched-Capacitor Resistance

A low-dropout or LDO regulator is a DC linear voltage regulator that can regulate the output voltage even when the supply voltage is very close to the output voltage. The advantages of a low dropout voltage regulator over other DC to DC regulators include the absence of switching noise (as no switching takes place), smaller device size (as neither large inductors nor transformers are needed), and greater design simplicity (usually consists of a reference, an amplifier, and a pass element).

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