ONNXim is a fast cycle-level simulator that can model multi-core NPUs for DNN inference. Its features include the following: ONNXim requires ONNX graph files (.onnx) to simulate DNN models. We provide ...

Two years ago, a Canadian writer named Cory Doctorow coined the phrase "enshittification" to describe the decay of online platforms. The word immediately set the Internet ablaze, as it captured the ...

Hyperspectral images are rich in spectral and spatial information, providing a detailed and comprehensive description of objects, which makes hyperspectral image analysis technology essential in ...

This program reads a 3 x 3 kernel and then performs convolution. The first set can handle arbitrary input sizes, whereas the second set is limited to a fixed input size of 4 x 5.

The rapid growth of large language models (LLMs) and their increasing computational requirements have prompted a pressing need for optimized solutions to manage memory usage and inference speed. As ...

Robustness is crucial for deploying deep learning models in real-world applications. Vision Transformers (ViTs) have shown strong robustness and state-of-the-art performance in various vision tasks ...

ABSTRACT: Digital image forgery (DIF) is a prevalent issue in the modern age, where malicious actors manipulate images for various purposes, including deception and misinformation. Detecting such ...

Earlier this month, Google Cloud experienced one of its biggest blunders ever when UniSuper, a $135 billion Australian pension fund, had its Google Cloud account wiped out due to some kind of mistake ...

Abstract: Convolution serves as a foundational component enabling Deep Neural Networks (DNN) to extract meaningful features from input data. This paper focuses on the real-time architecture of a ...