Rapid Time Series Prediction with a Hardware-Based Reservoir Computer [PDF]
Reservoir computing is a neural network approach for processing time-dependent signals that has seen rapid development in recent years. Physical implementations of the technique using optical reservoirs have demonstrated remarkable accuracy and ...
D. Canaday, Aaron Griffith, D. Gauthier
semanticscholar +1 more source
A Survey on Split Manufacturing: Attacks, Defenses, and Challenges
In today's integrated circuit (IC) ecosystem, owning a foundry is not economically viable, and therefore most IC design houses are now working under a fabless business model.
Tiago D. Perez, Samuel Pagliarini
doaj +1 more source
Hardware for dynamic quantum computing [PDF]
We describe the hardware, gateware, and software developed at Raytheon BBN Technologies for dynamic quantum information processing experiments on superconducting qubits. In dynamic experiments, real-time qubit state information is fed back or fed forward within a fraction of the qubits’ coherence time to dynamically change the implemented sequence. The
Colm A. Ryan+4 more
openaire +5 more sources
HAQ: Hardware-Aware Automated Quantization With Mixed Precision [PDF]
Model quantization is a widely used technique to compress and accelerate deep neural network (DNN) inference. Emergent DNN hardware accelerators begin to support mixed precision (1-8 bits) to further improve the computation efficiency, which raises a ...
Kuan Wang+4 more
semanticscholar +1 more source
Thermodynamics in Stochastic Conway’s Game of Life
Cellular automata can simulate many complex physical phenomena using the power of simple rules. The presented methodological platform expresses the concept of programmable matter, of which Newton’s laws of motion are an example.
Krzysztof Pomorski, Dariusz Kotula
doaj +1 more source
CNN Variants for Computer Vision: History, Architecture, Application, Challenges and Future Scope
Computer vision is becoming an increasingly trendy word in the area of image processing. With the emergence of computer vision applications, there is a significant demand to recognize objects automatically.
Dulari Bhatt+7 more
semanticscholar +1 more source
Hybrid Application Mapping for Composable Many-Core Systems: Overview and Future Perspective
Many-core platforms are rapidly expanding in various embedded areas as they provide the scalable computational power required to meet the ever-growing performance demands of embedded applications and systems.
Behnaz Pourmohseni+11 more
doaj +1 more source
Scalable digital hardware for a trapped ion quantum computer [PDF]
Many of the challenges of scaling quantum computer hardware lie at the interface between the qubits and the classical control signals used to manipulate them.
E. Mount+10 more
semanticscholar +1 more source
Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation [PDF]
We present multiplexed gradient descent (MGD), a gradient descent framework designed to easily train analog or digital neural networks in hardware. MGD utilizes zero-order optimization techniques for online training of hardware neural networks. We demonstrate its ability to train neural networks on modern machine learning datasets, including CIFAR-10 ...
arxiv +1 more source
A survey on hardware-based malware detection approaches [PDF]
This paper delves into the dynamic landscape of computer security, where malware poses a paramount threat. Our focus is a riveting exploration of the recent and promising hardware-based malware detection approaches. Leveraging hardware performance counters and machine learning prowess, hardware-based malware detection approaches bring forth compelling ...
arxiv +1 more source