Antivirus software used to hunt for known malware, but now it’s predicting suspicious behavior before an attack fully lands.

Abstract: The training and inference efficiency of ever-larger deep neural networks highly rely on the performance of tensor operators on specific hardware accelerators. Therefore, a performance ...

Nowadays, neural networks act as a synonym for artificial intelligence. Present neural network models, although remarkably powerful, are inefficient both in terms of data and energy. Several ...

Abstract: Semantic segmentation of remote sensing images (RSIs) has significant advances with the adoption of deep neural networks, taking the advantages of convolutional neural networks (CNNs) in ...

Generative AI is an Artificial Intelligence system that can generate new content such as text, code, images, music, videos, audio, and more. Nearly all Generative AI models are transformer-based. From ...

aKey Laboratory of Imaging Diagnosis and Minimally Invasive Interventional Research of Zhejiang Province, Lishui Hospital, International Institutes of Medicine, School of Medicine, Zhejiaing ...

With most computer programs—even complex ones—you can meticulously trace through the code and memory usage to figure out why that program generates any specific behavior or output. That’s generally ...

This repository is the official implementation of the paper Optimal Stopping via Randomized Neural Networks. conda create --name OptStopRandNN python=3.7 conda activate OptStopRandNN pip install ...

Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...