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Search Results - artificial+intelligence%2fmachine+learning
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Interactive Programming Framework for Learning-Enabled Robots
Invention Description Advanced robots are scaling into diverse, non-expert markets. However, the industry lacks a scalable model to maintain and re-task or reprogram these machines to fit unique user environments. This highlights a technical bottleneck that is most acute for learning-enabled robots, which create a highly inefficient and unscalable...
Published: 7/24/2026
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Updated: 7/24/2026
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Inventor(s):
Siddharth Srivastava
,
Rushang Karia
,
Pulkit Verma
,
Naman Shah
,
Daksh Dobhal
,
Jayesh Nagpal
Keywords(s):
Category(s):
Artificial Intelligence/Machine Learning
,
Computing & Information Technology
,
Educational
,
Physical Science
Novel Method and Technology for Medical Image Analyzer
Invention Description Biomedical retinal images are frequently affected by noise, artifacts, and contrast limitations that can reduce diagnostic accuracy. Existing enhancement techniques, including previous methods developed by researchers and scholars worldwide, improve image quality but remain limited in their ability to process severely degraded...
Published: 7/23/2026
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Updated: 7/23/2026
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Inventor(s):
Habte Likassa
,
Ding-geng Chen
Keywords(s):
Category(s):
Artificial Intelligence/Machine Learning
,
Imaging
,
Life Science (All LS Techs)
,
Medical Imaging
Agentic AI for 2D Legacy to 3D CAD Model Conversion
Invention Description Computer-Aided Design (CAD) models are essential for modern manufacturing, serving as the basis for generating instructions for CNC machines, 3D printers, and other automated systems. However, many legacy designs are preserved only as 2D engineering drawings with annotations rather than complete 3D models. Reconstructing accurate...
Published: 7/22/2026
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Updated: 7/22/2026
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Inventor(s):
Pius Gyamenah
,
Shenghan Guo
,
Zachary Marinella
,
James Schwartzberg
Keywords(s):
Category(s):
Artificial Intelligence/Machine Learning
,
Computing & Information Technology
,
Manufacturing/Construction/Mechanical
,
Physical Science
MERINDA: Real-Time Digital Twins for Physical AI and Autonomous Systems
Invention Description The next generation of autonomous systems—from robots and drones to industrial platforms and intelligent vehicles—depends on Physical AI: systems that continuously learn, predict, and adapt to the physical world. These capabilities increasingly rely on digital twins, computational models that reconstruct and predict...
Published: 7/21/2026
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Updated: 7/14/2026
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Inventor(s):
Ayan Banerjee
,
Sandeep Gupta
Keywords(s):
Category(s):
Artificial Intelligence/Machine Learning
,
Physical Science
,
Computing & Information Technology
Advanced Modeling and Optimization of Multi-Active Bridge Converters
Invention Description Theoretical models of MAB converters usually assume ideal components, but real-world systems suffer from various parasitic effects that skew power transfer predictions. These include MOSFET on-state resistances, AC winding losses in inductors/transformers, and the ESR of both DC blocking and DC link capacitors, all of which introduce...
Published: 7/14/2026
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Updated: 7/14/2026
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Inventor(s):
Ayan Mallik
,
Saikat Dey
Keywords(s):
Category(s):
Semiconductor Devices
,
Semiconductors, Materials & Processes
,
Physical Science
,
Artificial Intelligence/Machine Learning
LoRAFusion: Energy-Efficient Multi-Task Adaptation Framework for ReRAM Accelerators
Invention Description Resistive RAM (ReRAM) crossbars effectively accelerate machine learning inference, but high reprogramming energy limits their on-device adaptability. While Parameter-Efficient Fine-Tuning (PEFT) techniques like Low-Rank Adaptation (LoRA) reduce training overhead, modifying a ReRAM crossbar for LoRA remains costly, and this reprogramming...
Published: 7/8/2026
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Updated: 7/8/2026
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Inventor(s):
Deliang Fan
,
Jingkai Guo
Keywords(s):
Computational Machine
,
Computing Architecture
,
Machine Learning
Category(s):
Artificial Intelligence/Machine Learning
,
Computing & Information Technology
,
Physical Science
Canine Epigenetic Clock for Age Prediction
Invention Description Aging is a universal process that varies widely, but dogs offer a unique biological model for studying it. Canine lifespans exhibit significant within-species variance, as smaller breeds frequently achieve more than double the longevity of larger ones. This gap in life expectancy also correlates with healthspan: larger dogs present...
Published: 7/7/2026
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Updated: 7/7/2026
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Inventor(s):
Noah Snyder-Mackler
Keywords(s):
Category(s):
Agriculture/Animal Health
,
Artificial Intelligence/Machine Learning
,
Life Science (All LS Techs)
AI-Driven Clinical Decision Support System for Diabetes Management
Invention Description Type 1 diabetes (T1D) affects nearly 10 million people worldwide and occurs when the immune system destroys the pancreas's insulin-producing beta cells. Managing T1D is notoriously difficult, requiring constant glucose monitoring and precise insulin dosing. Even with advanced tools like continuous glucose monitors (CGMs) and...
Published: 6/29/2026
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Updated: 6/29/2026
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Inventor(s):
Hassan Zadeh
,
Asiful Arefeen
,
Shovito Barua Soumma
Keywords(s):
Category(s):
Artificial Intelligence/Machine Learning
,
Diagnostic Assays/Devices
,
Genomic Assays/Reagents/Tools
,
Life Science (All LS Techs)
,
Medical Diagnostics/Sensors
Precision Amplifier Design for Pipeline ADCs
Invention Description Analog-to-digital converters (ADCs) translate continuous analog signals into discrete digital numbers. Because modern computing relies on digital data, which is easier to store, manipulate, and transmit, ADCs are the bridge connecting the physical world to electronics. Better ADCs are vital for supporting next-gen technologies...
Published: 6/22/2026
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Updated: 6/22/2026
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Inventor(s):
Saurabh Dhiman
,
Arindam Sanyal
Keywords(s):
Category(s):
Artificial Intelligence/Machine Learning
,
Medical Imaging
,
Microelectronics
,
Semiconductors, Materials & Processes
,
Physical Science
2D Materials for Selectorless Resistive Switching Memory
Invention Description Selectorless resistive random-access memory is crucial for achieving high-density crossbar scaling, however, suppressing sneak path currents (SPCs) without external selector components is still a major challenge. Conventional von Neumann architectures, which transfer data between the process unit towards memory, struggle to keep...
Published: 7/21/2026
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Updated: 6/22/2026
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Inventor(s):
Feng Yan
,
Ying-Chen (Daphne) Chen
Keywords(s):
Category(s):
Advanced Materials/Nanotechnology
,
Artificial Intelligence/Machine Learning
,
Computing & Information Technology
,
Microelectronics
,
Semiconductors, Materials & Processes
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