Hardware acceleration of deep neural networks for autonomous driving on FPGA-based SOC
In the last decade, enormous and renewed attention to Artificial Intelligence has emerged
thanks to Deep Neural Networks (DNNs), which can achieve high performance in …
thanks to Deep Neural Networks (DNNs), which can achieve high performance in …
Image Feature Extraction Methods for Structure Detection from Underwater Imagery
P Roberts, P Helmholz… - … Archives of the …, 2023 - isprs-archives.copernicus.org
The use of autonomous underwater vehicles (AUVs) for surveying underwater infrastructure
presents a potential cost saving in comparison to remotely operated vehicles (ROVs). One of …
presents a potential cost saving in comparison to remotely operated vehicles (ROVs). One of …
SPA: An efficient adversarial attack on spiking neural networks using spike probabilistic
With the future 6G era, spiking neural networks (SNNs) can be powerful processing tools in
various areas due to their strong artificial intelligence (AI) processing capabilities, such as …
various areas due to their strong artificial intelligence (AI) processing capabilities, such as …
Reducing down (stream) time: Pretraining molecular gnns using heterogeneous ai accelerators
The demonstrated success of transfer learning has popularized approaches that involve
pretraining models from massive data sources and subsequent finetuning towards a specific …
pretraining models from massive data sources and subsequent finetuning towards a specific …
FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays
A Rahoof, V Chaturvedi… - 2023 International Joint …, 2023 - ieeexplore.ieee.org
Capsule Network (CapsNet) has shown significant improvement in understanding the
variation in images along with better generalization ability compared to traditional …
variation in images along with better generalization ability compared to traditional …
Complex-Exponential-Based Bio-Inspired Neuron Model Implementation in FPGA Using Xilinx System Generator and Vivado Design Suite
This research investigates the implementation of complex-exponential-based neurons in
FPGA, which can pave the way for implementing bio-inspired spiking neural networks to …
FPGA, which can pave the way for implementing bio-inspired spiking neural networks to …
ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers
M Pinos, L Sekanina, V Mrazek - arXiv preprint arXiv:2404.08002, 2024 - arxiv.org
Integrating the principles of approximate computing into the design of hardware-aware deep
neural networks (DNN) has led to DNNs implementations showing good output quality and …
neural networks (DNN) has led to DNNs implementations showing good output quality and …
[图书][B] Artificial Intelligence and Hardware Accelerators
Artificial intelligence (AI) is designing new genesis around the globe and garnering great
attention from industries and academia. AI algorithms are indigenously intensely …
attention from industries and academia. AI algorithms are indigenously intensely …
Investigating the Resilience Source of Classification Systems for Approximate Computing Techniques
M Barbareschi, S Barone - IEEE Transactions on Emerging …, 2024 - ieeexplore.ieee.org
During the last decade, classification systems (CSs) received significant research attention,
with new learning algorithms achieving high accuracy in various applications. However …
with new learning algorithms achieving high accuracy in various applications. However …
An Intelligent Hybrid Approach for Brain Tumor Detection
Brain tumours are quickly increasing in prevalence all over the world. It causes the deaths of
thousands of individuals annually. Misdiagnosis of brain tumours often results in …
thousands of individuals annually. Misdiagnosis of brain tumours often results in …