If AI systems can do their own AI research, they can come up with superior AI architectures and methods. Via a simple ...

Older models struggled with depth issues in 2D images, but the novel neural network handles these problems with ease.

Image recognition has become a cornerstone of modern technology, transforming industries like healthcare, retail, automotive, ...

Researchers have made significant progress in the field of artificial intelligence by applying deep learning techniques to ...

Bioprinting is an additive manufacturing process, wherein successive layers of cell-laden bioinks are used to form biological ...

Professor Yong-Hoon Kim's team from the School of Electrical Engineering succeeded for the first time in accelerating quantum ...

A step toward improving online music education by developing an AI tool that can recognize musical notation is described in a ...

Technological Approach and Its Impact on Behavior Analysis The proposed system leverages Convolutional Neural Networks (CNNs) ...

Quantum machine learning methods, including QSVM and QCNN, show promise in manufacturing by enhancing anomaly detection and reducing parameter requirements.

In the rapidly advancing field of computational biology, a review explores the transformative role of deep learning ...