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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: 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

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: 9/30/2024 | Inventor(s): Mario Miscuglio, Volker Sorger

Keywords(s):

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: 9/30/2024 | Inventor(s): Rishi Maiti, Volker Sorger

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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: 9/30/2024 | Inventor(s): Volker Sorger, Jonathan George

Keywords(s):

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: 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

Reinforcement Learning for Fault-tolerant Energy-efficient NoC Design

Researchers at GW have developed a novel, cost-effective, energy-efficient computer architecture design based on reinforcement learning (RL) for use in various computing applications. The disclosed design has better fault-tolerance, reliability, network latency than existing solutions. The disclosed computer architecture design can include an Error...

Published: 7/30/2024 | Inventor(s): Ahmed Louri, Ke Wang

Keywords(s):

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

Compact ultra-low power 2x2 Photonic Switch on Silicon

Researchers at George Washington University recently invented an optical switching technology for future photonics network-on-chip (NOC). This invention enables compact, cost-effective two orders of magnitude increases in bandwidth and dramatically more energy-efficient communication between CPU’s compared to traditional electrical interconnects....

Published: 7/30/2024 | Inventor(s): Volker Sorger, Chenran Ye, Ke Liu

Keywords(s):

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

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

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