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Search Results - computational+efficiency+and+analysis
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Multi-Level Scheduling and Partitioning of Reconfigurable Processor Arrays (Case No. 2026-011) Circular Elevator Style Network-on-Chip (Case No. 2026-012) and Pattern Compilation for Runtime Reconfigurable Arrays (Case No. 2026-013)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a high-speed runtime reconfigurable processor array (RTRA) that enables on-chip scheduling and rapid multi-program execution with unprecedented energy and area efficiency for dynamic computing workloads. Background: Dynamic digital signal processing...
Published: 12/11/2025
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Inventor(s):
Dejan Markovic
,
Hong Seok Lee
,
Chenkai Ling
Keywords(s):
computational efficiency
,
computational efficiency and analysis
,
edge computing
,
energy-efficient
,
Hardware
,
high speed
,
large-area arrays
,
low latency computing
,
low-power architecture
,
Microarray
,
Microprocessor
,
processor design
,
programming
,
scalable manufacturing
,
System On A Chip
Category(s):
Electrical > Signal Processing
,
Electrical
,
Electrical > Electronics & Semiconductors
,
Software & Algorithms
,
Electrical > Computing Hardware
CDMA MIMO Readout Networks for Semiconductor-Based Compact 2-Dimensional Qubit Array (Case No. 2025-153)
Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel CDMA-MIMO qubit readout network that enables scalable, high-fidelity measurement of two-dimensional semiconductor qubit arrays for fault-tolerant quantum computing. Background: Qubit arrays form the foundation of complex quantum computations...
Published: 12/12/2025
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Inventor(s):
Mau-Chung Chang
,
Jhih-Wei Chen
Keywords(s):
computational efficiency
,
computational efficiency and analysis
,
Electrical
,
Electrical Engineering
,
Electronics & Semiconductors
,
large-area arrays
,
quantum communication
,
Quantum Computer
,
quantum error correction (QEC)
,
quantum network
,
quantum processing
,
quantum processor
,
Semiconductor
,
Semiconductor Device
,
Semiconductors
Category(s):
Electrical
,
Electrical > Computing Hardware
,
Electrical > Electronics & Semiconductors
,
Electrical > Quantum Computing
,
Software & Algorithms > Communication & Networking
,
Software & Algorithms
Subgraph Matching for High-Throughput DNA-Aptamer Secondary Structure Classification and Machine Learning Interpretability (Case No. 2025-104)
Intro Sentence: UCLA researchers in the Department of Mathematics have developed machine learning methods to rapidly identify novel aptamer sequences for target binding to accelerate highly-accurate diagnostic and therapeutic development. Background: Aptamers are single-stranded nucleotide polymers that bind with high affinity to targets such as...
Published: 8/19/2025
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Inventor(s):
Andrea Bertozzi
,
Anne Andrews
,
Matthew Tyler
,
Paolo Climaco
,
Noelle Mitchell
Keywords(s):
Advanced Computing / AI
,
advanced computing methods
,
Aptamers
,
Artifical Intelligence (Machine Learning, Data Mining)
,
artificial intelligence/machine learning models
,
bioinformatics pipeline
,
cancer target
,
clustering
,
computational efficiency
,
computational efficiency and analysis
,
design software
,
DNA clustering
,
DNA oligomer
,
DNA Sequencing
,
Drug
,
Drug Delivery
,
Drug Development
,
Drug Discovery
,
drug screening
,
high throughput
,
high throughput assays
,
high throughput testing
,
high-throughput analysis
,
High-Throughput Screening
,
interpretability, pipeline
,
large-scale parallelization
,
Machine Learning
,
machine learning modeling
,
motif structures
,
open source
,
open source code
,
OpenAI
,
Pharmaceutical Drug
,
protein classification
,
secondary structure
,
SELEX
,
sequences of interest
,
single strand DNA sequences
,
Software
,
Software & Algorithms
,
Software Development Tools
,
Software-enabled learning
,
subgraph matching
,
target binding
,
target detection
,
Targeted Therapy
,
Targets And Assays
,
tissue targeting accuracy
Category(s):
Software & Algorithms
,
Software & Algorithms > AI Algorithms
,
Software & Algorithms > Artificial Intelligence & Machine Learning
,
Software & Algorithms > Data Analytics
,
Life Science Research Tools
,
Life Science Research Tools > Research Methods
,
Life Science Research Tools > Screening Libraries
,
Platforms
,
Platforms > Drug Delivery
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Diagnostic Markers > Targets And Assays
,
Diagnostic Markers
,
Software & Algorithms > Bioinformatics