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A Resilient, Adaptive, Multi-Context Switching, Energy-Efficient Spintronic FPGA (RAMSES-FPGA)

Static random-access memories (SRAM) based FPGAs are susceptible to Single Event Upsets (SEUs). SEUs are transient faults caused by high-energy particles striking the semiconductor material which result in unintended changes in the stored data. This vulnerability is a significant concern specifically in environments with high levels of radiation, such...

Published: 7/2/2025 | Inventor(s): Abdolah Amirany, Samuel Farid, Hamidreza Imani Porshokouh, Tarek El-Ghazawi

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ESSRA: An Efficient Spintronic Stochastic Reconfigurable Architecture

Recent research in Stochastic Computing (SC) is focused on practical methods for bitstream generation, optimizing logic operations for stochastic data, and developing architectures that natively support SC. This approach has proven particularly promising in simplifying and accelerating complex computations in fields such as AI and image processing....

Published: 7/2/2025 | Inventor(s): Abdolah Amirany, Hamidreza Imani Porshokouh, Samuel Farid, Tarek El-Ghazawi

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Category(s): Technology Classifications > Computers Electronics & Software > Artificial Intelligence, Technology Classifications > Computers Electronics & Software > Computing Architecture, Technology Classifications > Computers Electronics & Software > Processing Chips

Self-Healing Hardware for Perception Stage Faults in Autonomous Driving Systems

Autonomous Driving Systems (ADS) are safety-critical applications designed to enhance vehicle autonomy and general road safety. Perception, a critical stage of the pipeline, detects and classifies objects and environmental conditions. This stage is also highly susceptible to faults such as transient and permanent bit flips, which compromise the entire...

Published: 7/1/2025 | Inventor(s): Guru Venkataramani, Ali Suvizi

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Category(s): Technology Classifications, Technology Classifications > Computers Electronics & Software > Cybersecurity, Technology Classifications > Computers Electronics & Software > Computing Architecture

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 | Inventor(s): Gina Adam, Osama Yousuf

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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

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 | Inventor(s): Jiaqi Yang, Hao Zheng, Ahmed Louri

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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

Photonic Tensor Core Matrix Vector Multiplier

High-computation speed is a need of an hour in today’s artificial intelligence era. In existing general-purpose processors, matrix operations occur serially, while requiring continuous access to the cache memory, thus creating the “von Neumann bottleneck” problem. The revolutionizing impact of Neural Networks (NNs) have contributed...

Published: 2/18/2025 | Inventor(s): Mario Miscuglio, Volker Sorger

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Category(s): Technology Classifications > Computers Electronics & Software > Processing Chips, Technology Classifications > Computers Electronics & Software > Computing Architecture

Strain-Engineered Integrated MoTe2 Photodetector for High Responsivity

Photodetectors are important part for photonic circuitry, which converts photons to electric signal. The ability of a photonic device to convert light energy to electrical energy depends on the band gap of the photoconductive material, which dictates how efficiently the material can absorb depending on the frequency of the light energy. Existing photoconductive...

Published: 2/18/2025 | Inventor(s): Rishi Maiti, Volker Sorger

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Category(s): Technology Classifications > Computers Electronics & Software, Technology Classifications > Computers Electronics & Software > Processing Chips, Technology Classifications > Computers Electronics & Software > Computing Architecture

Optical Digital to Analog Converter

Digital-to-analog converters are indispensable functional units in signal transmission and also an essential part of the optical computing. In previous systems, the conversion of a digital electronic signal to an analog optical signal has been achieved by first converting the digital electronic signal to an analog electronic signal and then converting...

Published: 2/18/2025 | Inventor(s): Volker Sorger, Jonathan George

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Category(s): 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: 2/18/2025 | Inventor(s): Mario Miscuglio, Volker Sorger

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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 | 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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