Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...

The dream of an artificial intelligence (AI)-integrated society could turn into a nightmare if safety is not prioritized by ...

There are challenges to patching AI chips, and cybersecurity risks to not patching them. The expanding power of artificial intelligence and its many applications depends upon the strength and ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

Abstract: This article presents a predictive model using supervised machine learning, highlighting the importance of advanced optimization algorithms. Our approach focuses on a nonsmooth loss function ...

From generating test cases and transforming test data to accelerating planning and improving developer communication, AI is having a profound impact on software testing.

With constant miniaturization and new materials driving complexity, the market continues evolving toward intelligent, automated, and sustainable workflows ...

Traditional suites alone cannot keep up with modern release of velocity or complexity prompting many enterprises to ...

Abstract: The importance of Security Assessment processes in railway system is a well known criticality, outlined by known compromise events. However, as highlighted in the recent reports by the ...

A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart for Intensive Care ...

As Singapore becomes a super-aged society and more seniors are expected to live alone, experts and eldercare providers say ...

A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...