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Avatar-Based Neurological Examination System
Accurate and consistent neurological assessments remain challenging in both clinical and telehealth settings due to variability in examiner expertise, time constraints, and limited access to specialists. This is especially problematic for conditions like myasthenia gravis, where subtle motor symptoms—such as ptosis, diplopia, and muscle fatigue—are...
Published: 6/16/2025
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Inventor(s): Marc Garbey, Henry Kaminski, Guillaume Joerger
Keywords(s):
Category(s): Technology Classifications, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Healthcare IT, Technology Classifications > Computers Electronics & Software > Cloud Computing
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Telehealth Neurologic Disease Diagnostic Tool
Accurate diagnosis of neuromuscular conditions like myasthenia gravis remains a challenge in telemedicine. Clinicians often rely on video feeds that fail to capture subtle but critical symptoms such as ptosis (eyelid droop) and diplopia (double vision) leading to delayed or inaccurate assessments.
To overcome these limitations, researchers at The...
Published: 6/5/2025
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Inventor(s): Marc Garbey, Guillaume Joerger
Keywords(s):
Category(s): Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Healthcare IT, Technology Classifications, Technology Classifications > Diagnostics > Imaging Dx
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AI-Driven Cyber-Physical System for Enhanced Telehealth Neurological Assessment
Traditional telehealth platforms struggle to deliver high-quality neurological assessments, particularly for patients with cognitive impairments, neuromuscular disorders, or mobility challenges. These gaps limit clinicians’ ability to detect subtle physical and behavioral cues critical for timely accurate diagnosis.
To address this need, researchers...
Published: 6/5/2025
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Inventor(s): Marc Garbey, Guillaume Joerger
Keywords(s):
Category(s): Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Healthcare IT
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Method for reducing errors in neural networks
In today’s AI revolution, Neuromorphic computing has become a vital part of artificial intelligence. However, existing technologies like memristor, though widely used to compute and store data, face complex non-idealities such as inconsistency in performance from one switching cycle to the next, variation in behavior between individual devices,...
Published: 2/28/2025
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Inventor(s): Gina Adam, Osama Yousuf
Keywords(s):
Category(s): Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Cloud Computing, Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Processing Chips, Technology Classifications > Computers Electronics & Software > Image Processing and Analysis
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A Versatile Accelerator Design for Multiple Deep Neural Network Applications
Deep Neural Networks (DNNs) have become integral to numerous applications, from image recognition to video processing, touching almost every aspect of modern life. The expansion of DNN applications has led to increasing demands on underlying hardware architectures, particularly in terms of memory bandwidth and communication requirements. Despite numerous...
Published: 2/18/2025
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Inventor(s): Jiaqi Yang, Hao Zheng, Ahmed Louri
Keywords(s):
Category(s): Technology Classifications, Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Processing Chips
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Massively Parallel Amplitude-only Optical Processing System for Machine Learning
Machine learning has become a driving force in modern technology. However, existing technology cannot keep up with its demand, due to limitations by capacitive charging of wires, system architecture that stores and handles data, and many more. Deep learning algorithms like, Convolution Neural Networks (CNN), extracts specific features of interest, using...
Published: 2/18/2025
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Inventor(s): Mario Miscuglio, Volker Sorger
Keywords(s):
Category(s): Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Cloud Computing, Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Processing Chips
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Low Loss Multistate Photonic Memories
High-computation speed is a need of an hour in today’s artificial intelligence era. An energy efficient and high-speed photonic memory device to transmit information in Photonic Integrate Circuits (PICs) will have great advantage in computing speeds. The photonic memories consists of an optical input, multiple configurations for reading and writing...
Published: 2/18/2025
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Inventor(s): Volker Sorger, Mario Miscuglio
Keywords(s):
Category(s): Technology Classifications, Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Processing Chips, Technology Classifications > Computers Electronics & Software > Computing Architecture
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Two-dimensional material printer and transfer system and method for atomically layered materials
Clean, fast, and accurate transfer of 2D materials, are a critical technology in production of all devices that need 2D materials on top of it. Existing technologies are inefficient in accurately placing a 2D material without cross contamination or mechanical damage to neighboring devices on chip. Thus, a precise and contamination free approach of placement...
Published: 2/18/2025
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Inventor(s): Volker Sorger, Rohit Hemnani
Keywords(s):
Category(s): Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Processing Chips, Technology Classifications, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Computing Architecture
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Efficient Floating-Point SRAM Compute-in-Memory by Harnessing Mantissa Addition
In the era of machine learning, particularly in the context of compute-in-memory (CIM) systems, has been rapidly evolving to meet the escalating demands of high computational efficiency and energy conservation. Existing SRAM CIM approaches have often focused on either fully digital or analog domains, leading to trade-offs between accuracy and energy...
Published: 2/18/2025
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Inventor(s): Weidong Cao
Keywords(s):
Category(s): Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Processing Chips, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Cloud Computing, Technology Classifications > Computers Electronics & Software > Databases
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SAM: Spintronic Approximate Memory
In the ever-evolving landscape of artificial intelligence (AI), achieving power efficiency without sacrificing accuracy has been a perennial challenge. Traditional methods, such as low supply voltage SRAM and low refresh rate DRAM, have aimed to reduce power consumption but have fallen short due to their lack of bitwise control over memory accuracy....
Published: 2/18/2025
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Inventor(s): Abdolah Amirany, Tarek El-Ghazawi, Hamidreza Imani Porshokouh
Keywords(s):
Category(s): Technology Classifications, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Processing Chips, Technology Classifications > Computers Electronics & Software > Databases
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