RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...

By 2030, IT pros will face a highly interdisciplinary IT landscape with AI reshaping every role. Problem-solving, agility, and continuous learning will help you achieve long-term success.

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the ...

Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in convolutional neural networks. This tutorial explains the intuition, mathematical ...

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

The artificial intelligence community celebrated a remarkable milestone in 2025 when both Google DeepMind and OpenAI systems ...

Abstract: Land cover (LC) mapping using satellite imagery is critical for environmental monitoring and management. Deep learning (DL), particularly convolutional neural networks (CNNs) and vision ...

This is a useful study that applies deep transfer learning to assign patient-level disease attributes to single cells of T2D and non-diabetic patients, including obese patients. This analysis ...

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 200237 Shanghai, China State Key Laboratory of Genetic Engineering, Fudan University, 200438 Shanghai, ...

Abstract: We propose an approach for monitoring work-at-heights activities by ensuring the presence of safety helmets and harnesses in construction environments using the DEtection TRansformer (DETR) ...

The humble inventions that power our modern world wouldn’t have been possible without decades of support for early-stage ...