Search Results - technology+classifications+%3e+computers+electronics+%26+software+%3e+artificial+intelligence

14 Results Sort By:
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: 10/14/2024   |   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
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: 9/30/2024   |   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
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: 9/30/2024   |   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
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: 9/30/2024   |   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
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: 7/30/2024   |   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
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: 7/30/2024   |   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
Conditional Variational Autoencoder for Functional Connectivity Analysis of ASD fMRI Data: A Comparative Study
Autism Spectrum Disorder (ASD), a complex neurodevelopmental condition, has been a subject of extensive research and clinical investigation due to its diverse manifestations and challenging diagnostic criteria. Existing methods for analyzing functional MRI (fMRI) data, particularly in the context of autism spectrum disorder (ASD), have faced significant...
Published: 7/30/2024   |   Inventor(s): Mariia Sidulova, Chung Hyuk Park
Keywords(s):  
Category(s): Technology Classifications > Computers Electronics & Software > Sensors, Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Image Processing and Analysis, Technology Classifications > Medical Devices > Neurostimulation
SPACX: A Hardware and Algorithm Co-Optimized Photonic Deep Neural Network Computing Architecture
SPACX- A silicon-based Photonic accelerator for DNN Chiplets architecture The continuous increase in size and complexity of deep neural network (DNN) models leads to rapidly increasing demand for computing capacity which has outpaced the scaling capability of conventional monolithic chips. Chiplet-based DNN accelerators have emerged as a promising...
Published: 7/30/2024   |   Inventor(s): Yuan Li, 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 > Processing Chips, Technology Classifications > Computers Electronics & Software > Computing Architecture
Symmetry-Detecting Spiking Artificial Neural Network
Researchers at GW have developed a novel and efficient solution to detect symmetry lines and points within multidimensional spatial data that could be utilized in data processing and robotics. The solution can take the form of one or more artificial neural networks that can be configured to efficiently detect symmetry lines and points within multidimensional...
Published: 9/30/2024   |   Inventor(s): Jonathan George, Volker Sorger
Keywords(s):  
Category(s): Technology Classifications > Computers Electronics & Software > Cloud Computing, Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Robotics, Technology Classifications > Computers Electronics & Software > Artificial Intelligence
Residue Number System Adder and Multiplier based on Integrated Nanophotonics
Researchers at GW have developed a novel, cost-effective, and energy-efficient residue number system (RNS) adder and multiplier that is based on integrated nanophotonics. The disclosed invention utilizes multiplication-accumulation computation (MAC) operations that can use one summand/multiplicand repetitively millions of times. In other words, aspects...
Published: 7/30/2024   |   Inventor(s): Volker Sorger, Tarek El-Ghazawi, Shuai Sun, Jiaxin Peng
Keywords(s):  
Category(s): Technology Classifications > Computers Electronics & Software > Cloud Computing, Technology Classifications > Computers Electronics & Software > Artificial Intelligence
1 2