Mingi Kang ’26 received a Fall Research Award from Bowdoin this semester to support his project exploring how two distinct ...

While humans and classical computers must perform tensor operations step by step, light can do them all at once.

Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...

University of Houston researchers developed a new X-ray imaging method capable of revealing hidden features in a single shot, ...

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...

Google’s newest model brings deeper reasoning, multimodal intelligence and agentic automation—resetting expectations for what ...

Art and AI is at the Museum of Contemporary Art brings together artists who make visible the tensions of ever-present AI.

A comprehensive review and perspective on differentiable imaging—a paradigm pioneered by research team since 2021—shows how systematic uncertainty quantification has revolutionized computational ...

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...

Five federally funded AI institutes provide a backbone for agriculture-focused AI research. The grand challenge facing global ...

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