The new capabilities are available starting today, with some features in beta or public preview.

A neural interface framework integrating L2 regularization with attention supervision paradigms achieves 96.87% classification accuracy in EEG ...

The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

OpenAI has rolled out another update to its Sora AI video app, one that builds on its existing video generation features with ...

Abstract: The study explores the integration of transfer learning (TL) with mobile-enabled convolutional neural networks (MbNets) to enhance Arabic Handwritten Character Recognition (AHCR). Addressing ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

Researchers unveil OneFlip, a Rowhammer-based attack that flips a single bit in neural network weights to stealthily backdoor AI systems without degrading performance. Autonomous vehicles and many ...

Abstract: Deploying deep learning–based optical character recognition (OCR) systems for low-resource, complex-script languages like Urdu remains a major challenge due to high computational costs, lack ...

Introduction: Accurate vehicle analysis from aerial imagery has become increasingly vital for emerging technologies and public service applications such as intelligent traffic management, urban ...

Introduction: Emotion recognition based on electroencephalogram (EEG) signals has shown increasing application potential in fields such as brain-computer interfaces and affective computing. However, ...