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Training Platform for Transoral Robotic Surgery

UCLA researchers in the Departments of Bioengineering and Head & Neck Surgery have developed a novel robotic platform for the training of transoral surgery.

Bioactive Plastics With Programmable Degradation And Microplastic Elimination

Although the plastic waste crisis has reached a breaking point, current recycling approaches are unable to remediate microplastic pollution. Biodegradable and renewable plastics have shown promise but impact neither microplastic elimination nor complete plastic recycling due to diffusion-limited enzymatic surface erosion and random chain scission. Here it is shown that nanoscopic dispersion of trace enzyme (e.g. lipase) in plastics (e.g. polycaprolactone [PCL]) leads to fully functional plastics with eco-friendly microplastic elimination and programmable degradation. Nanoscopic enzyme encapsulation leads to:continuous degradation to achieve 95% microplastic eliminationa single chain-based degradation mechanism with repolymerizable small molecule by-products via selective chain end scission rather than random chain scissionspatially- and temporally-programmable degradation of melt-processed host matrix due to the dependence of single chain degradation on local lamellae thickness regardless of bulk percent crystallinity formulation of conductive ink for 3-D printing with full recovery of the precious metal filler With recent developments in synthetic biology and genome information, nanoscopically embedding catalytically active enzymes in plastics may lead to an immediate, environmentally friendly and technologically viable solution toward microplastic elimination and material recycling.

Predictive Controller that Optimizes Energy and Water Used to Cool Livestock

Researchers at the University of California, Davis have developed a controller that applies environmental data to optimizing operations of livestock cooling equipment.

Pulsed-Coherent Electronic Front End for Detection and Ranging

Researchers in the UCLA Department of Electrical and Computer Engineering have developed a Light Detection and Ranging (LiDAR) device capable of high resolution, high acquisition measurements with minimized walk error and adjustable detection quality.

An Antenna Design Method to Realize Endfire Radiation with Vertical Polarization

Researchers from the UCLA Department of Electrical and Computer Engineering have developed a method to realize endfire radiation with vertical polarization on low-profile and compact resonant antennas, allowing for high selective frequency responses and low energy cost.

A Method for Signal Characterization

UCLA researchers in the Department of Electrical and Computer Engineering have developed a method and apparatus to rapidly analyze optical and electrical signals at very high bandwidths while accommodating advanced signal modulation for lower cost and improved energy consumption.

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.

Wearable Monitor of Attentional Integrity and Mental Strain

UCLA researchers in the Department of Psychiatry & Biobehavioral Sciences have developed a novel brain monitoring device that can be worn inconspicuously.

Low Energy and Noise Sub-Sampling Phase-Locked Loop

Phase locked loops are widely employed in radio, telecommunications, computers and other electronic applications. They can be used to demodulate a signal, recover a signal from a noisy communication channel, generate a stable frequency at multiples of an input frequency, or distribute precisely timed clock pulses in digital logic circuits such as microprocessors. Researchers at the University of California, Davis have invented a novel, sub-sampling phase-locked, loop (SSPLL) that uses a sub-sampling lock detector (SSLD) to monitor the harmonic selected by the SSPLL. This technology requires lower energy consumption and reduces signal noise.

Fast Deep Neural Network (DNN) Training/Execution on Hardware Platforms

With the growing range of applications for Deep Neural Networks (DNNs), the demand for higher accuracy has directly impacted the depth of the state-of-the-art models. Although deeper networks are shown to have higher accuracy, they suffer from drastically long training time and slow convergence speed with high computational complexity.

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.

Lambda-Reservoir Computing

UCLA researchers in the Department of Electrical and Computer Engineering have developed a Spectral Reservoir Computer that processes data using nonlinear optical interactions.

Time-Domain Mixed-Signal Vector-By-Matrix Multiplier

A time-domain mixed-signal VMM exploiting a modified configuration of 1 MOSFET-1 RRAM (1T-1R) array.

Versatile Stochastic Dot-Product Circuit

A compact, fast, energy-efficient, and scalable stochastic dot-product circuit.

Method and Apparatus for Movement Therapy Gaming System

Rehabilitation therapy, while an important tool for the long term recovery of patients affected by brain injury or disease, is expensive and requires one-on-one attention from a certified healthcare professional. UCI researchers have developed a computer-based system that provides arm movement therapy for patients. The system allows patients to independently practice hand and arm movements, improving therapeutic outcomes, while reducing hospital visits and cost for both patients and healthcare providers.

Advanced Power Management IC’s for Li-Ion Powered Mobile & IoT Devices

Most modern mobile, wearable, and Internet of Things (IoT) devices utilize Li-ion batteries as power supplies. Since the 2.8-4.2V Li-ion output voltage range is not compatible with the 0.6-1.0V voltage requirements of most system-on-chips (SoCs) implemented in scaled CMOS, a DC-DC converter, typically implemented as a discrete power management integrated circuit (PMIC), is placed between the battery and the load.

Cloud- enabled Wireless pH Monitoring in Laboratory Sample Vials

A team of inventors at UCI have developed a miniaturized, wireless pH sensing system capable of monitoring the pH of laboratory samples in real-time with cloud-enabled connections for data collection. The sensor is designed to fit into the caps of standard sample vials, providing continuous measurements and eliminating the need to open vials during sensing.

Magnetic Memory Bits with Perpendicular Magnetization Switched By Current-Induced Spin-Orbit Torques

UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel spin-orbit-torque (SOT)-controlled magnetic random access memory driven by in-plane currents.

Techniques for Creation and Insertion of Test Points for Malicious Circuitry Detection

Researchers led by Dr. Potkonjak from the UCLA Department of Computer Science have developed a technique to detect hardware Trojans in integrated circuits.

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