Search Results - memory

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Accurate Compute-In-Memory Accelerator With Multi-Level Analog Weight Storage (Case No. 2026-169)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a high-density, multi-level CTT-based compute-in-memory architecture that enables precise, energy-efficient analog computation directly within memory for high-performance computing. Background: Conventional digital processors for artificial intelligence...
Published: 6/3/2026   |   Updated: 6/3/2026   |   Inventor(s): Sudhakar Pamarti, Mohammadreza Zeinali, Samyak Chakrabarty, Vinod Kurian Jacob
Keywords(s): Advanced Computing / AI, advanced computing methods, AI, AI hardware, analog computing, Artificial Intelligence, artificial intelligence accelerators, Artificial Neural Network, CMOS, compute-in-memory, edge computing, Energy Efficiency, high-performance computing, Memory, parallel computing, Transistor, transistors
Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Electrical, Electrical > Computing Hardware, Electrical > Electronics & Semiconductors, Electrical > Electronics & Semiconductors > Circuits, Electrical > Electronics & Semiconductors > Memory
Calibration of Analog Multi-Bit Storage Elements Without Off-Chip Components (Case No. 2026-167)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a scalable, energy-efficient technique for high-precision threshold voltage tuning and verification in charge trap transistor arrays using low-overhead on-chip measurement. Background: Charge trap transistors (CTTs) enable non-volatile analog multi-bit...
Published: 6/3/2026   |   Updated: 6/3/2026   |   Inventor(s): Sudhakar Pamarti, Mohammadreza Zeinali
Keywords(s): analog computing, CMOS, compute-in-memory, Electrical, Electrical Engineering, Integrated Circuit, large-area arrays, low latency computing, Memory, Network Analysis (Electrical Circuits), Neuromorphic circuits, programming, pulsed load modulation, scalable fabrication, soft electrical circuits
Category(s): Electrical, Electrical > Computing Hardware, Energy & Environment, Energy & Environment > Energy Efficiency, Electrical > Electronics & Semiconductors > Circuits, Electrical > Electronics & Semiconductors
Method and System for Removing Stimulation Artifact in Neural Recording System Under Arbitrary Waveform Stimulations (Case No. 2024-010)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel hard-ware based system for real-time removal of stimulation artifacts in neural recordings, enabling greater scalability, flexibility, and efficiency in neuromodulation and neurotechnology applications. Background: Neuromodulation research depends...
Published: 8/29/2025   |   Updated: 8/4/2025   |   Inventor(s): Wentai Liu, Yan-Peng Chen
Keywords(s): Brain Mapping, Electrical, Electrical Brain Stimulation, Electrical stimulation, Electrode, electrodes, graph neural network, High-resolution, image and video enhancement, Image Resolution, large range, large-area arrays, Memory, neural network, neural networks, neural signals, neural stimulation, operating range, resolution, video processing
Category(s): Life Science Research Tools, Medical Devices > Neural Stimulation, Electrical > Computing Hardware, Electrical, Medical Devices
System and Circuit of Compute-in-Memory Design for Genome Alignment
Next-generation sequencing (NGS) technologies have revolutionized genomics research because they enable faster, cheaper and accurate decoding of nucleotide sequences. This has resulted in breakthroughs in diagnostics, disease risk assessment, personalized medicines, screening and more. However, despite all the NGS-related advancements that have been...
Published: 2/26/2026   |   Updated: 4/29/2025   |   Inventor(s): Deliang Fan, Fan Zhang
Keywords(s): Bio-Technology, Computational Machine, Computing Architecture, Gene, Memory, Personalized medicine
Category(s): Artificial Intelligence/Machine Learning, Genomic Assays/Reagents/Tools, Life Science (All LS Techs), Manufacturing/Construction/Mechanical, Semiconductor Devices, Semiconductors, Materials & Processes
Fabrication Method for Hexagonal Boron Nitride Layers
Computer memory devices may employ any of various mechanisms for storing data, e.g., using memory cells each of which may be programmed to be in any of two or more states. Non-volatile memory includes memory cells each of which operates by changing the resistance across an active switching layer, e.g., an insulator, through the formation of conductive...
Published: 2/26/2026   |   Updated: 1/3/2025   |   Inventor(s): Ivan Sanchez Esqueda, Jing Xie, Robert Nemanich, Ali Yekta
Keywords(s): Electronics, Fabrication, Materials and Electronics, Memory, Nanofabrication, Nanostructure, PS-Advanced Materials and Nanotechnology, Resistive Memory
Category(s): Advanced Materials/Nanotechnology, Physical Science, Semiconductors, Materials & Processes
Use of Neurotrophic Factor-alpha1/Carboxypeptidase E (CPE) to Treat Alzheimer Disease
Summary: The NICHD is seeking licensees for development of Carboxypeptidase E (CPE) as a therapy for MCI or AD. Description of Technology: There is no known cure for Alzheimer’s disease, a brain disorder that severely affects memory, thinking, learning, and organizing skills. It eventually decreases a person’s ability to carry out simple,...
Published: 4/24/2026   |   Updated: 8/2/2023   |   Inventor(s): Yoke Peng Loh, Yong Cheng
Keywords(s): “Cognitive impairment”, Ad, Alzheimer’s Disease, BNDF, brain, Brain-Derived Neurotrophic Factor, Carboxypeptidase E, CPE, Hippocampus, LOH, MCI, MEMORY, Mild Cognitive Impairment, NEURODEGENERATION, NEUROTROPHIC
Category(s): TherapeuticArea > Neurology, Application > Therapeutics, Collaboration Sought > Licensing, Collaboration Sought > Collaboration
Single-Cycle Processing-in-SRAM Logic Circuit Design
Traditional von-Neumann computing architectures, such as CPUs and GPUs, demonstrate limitations in memory bandwidth and energy efficiency. However, their high demand lies in their programmability and flexible functionality. Such platforms execute a wide spectrum of bit-wise logic and arithmetic operations. In this regard, recent application-specific...
Published: 2/26/2026   |   Updated: 7/15/2023   |   Inventor(s): Deliang Fan, Shaahin Angizi
Keywords(s): Algorithm Development, Circuits, Computational Machine, Computing Architecture, Electronics, Memory, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science
Temperature-Resilient RRAM-Based In-Memory Computing for DNN Inference
Deep neural networks (DNNs) have shown extraordinary performance in recent years for various applications, including image classification, object detection, speech recognition, etc. Accuracy-driven DNN architectures tend to increase model sizes and computations in a very fast pace, demanding a massive amount of hardware resources. Frequent communication...
Published: 2/26/2026   |   Updated: 5/2/2023   |   Inventor(s): Jae-Sun Seo, Jian Meng, Li Yang, Deliang Fan
Keywords(s): Algorithm Development, Machine Learning, Memory, Neural Computing, PS-Computing and Information Technology
Category(s): Computing & Information Technology, Physical Science
Novel Roles of a DNA Repair Protein, DNA-PKcs, in Obesity, Neurological Function, and Aging
The catalytic subunit of the DNA-dependent protein kinase complex (DNA-PKcs) has been shown to be important in DNA repair and VDJ recombination in lymphocytes. The inventors have discovered that DNA-PKcs also plays novel, important roles in energy regulation and neurological function. The inventors observed that mature DNA-PKcs-deficient mice (also...
Published: 10/28/2024   |   Updated: 12/6/2022   |   Inventor(s): Jay Chung
Keywords(s): Aging, ANXIETY, Cardiovascular, depression, DIABETES, DNA-Dependent, DNA-PKcs, Endurance, Energy, HEART, IB1XXX, IB3XXX, IB6XXX, IBXXXX, Inflammation, insulin, INSULIN-DEPENDENT, IXXXXX, LEARNING, MEMORY, METABOLIC, Metabolism, Mitochondria, Neurological, OBESITY, REGULATION, TYPE-2, Weight
Category(s): Collaboration Sought > Collaboration, Collaboration Sought > Licensing, Application > Diagnostics, Application > Research Materials, Application > Vaccines, Application > Therapeutics, TherapeuticArea > Cardiology, TherapeuticArea > Reproductive Health, TherapeuticArea > Immunology
Charge Trap Transistors - Subramanian Iyer
Background: Due to their chemical makeup and heat generation, devices such as high-k/metal gate (HKMG) CMOS often accumulate charges can lead to variation in integrated circuits. Charge Trap Transistors (CTT's) utilize accumulating charge in semiconducting devices as embedded non-volatile memory (eNVM). The introduction of CTT's can prove an...
Published: 7/17/2025   |   Updated: 8/18/2022   |   Inventor(s): Subramanian Iyer
Keywords(s): Charge Carrier, CMOS, Dynamic Random-Access Memory, Electrical, Electrical Engineering, Electrical Load, Electrical Resistance And Conductance, Logic Gate, Magnetoresistive Random-Access Memory, Medical Device, Memory, Power Electronics, Power Transmission, Programmable Logic Device, Random-Access Memory, Resistive Random-Access Memory, Semiconductor Device, Semiconductor Device Fabrication, Static Random-Access Memory, Transistor
Category(s): Electrical, Electrical > Electronics & Semiconductors > Memory, Electrical > Electronics & Semiconductors
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