The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

The accumulation of misfolded proteins in the brain is central to the progression of neurodegenerative diseases like ...

Representing hyperspectral images (HSIs) is a complex and challenging task, primarily due to spectral uncertainty. The learnable prototypical contrastive learning is specialized in discriminative ...

The Vera C. Rubin Observatory is expected to discover 20 billion new galaxies over the next decade.

The Vera C. Rubin Observatory will make the study of stars and galaxies more like the big data-sorting exercises of contemporary genetics and particle physics.

In 2025, several providers launched enhanced deep learning image classification platforms with real-time analytics. Partnerships with healthcare and automotive firms accelerated AI adoption.

Deep learning has been widely applied to high-dimensional hyperspectral image classification and has achieved significant improvements in classification accuracy. However, most current hyperspectral ...

The chart is meant to help medical providers diagnose skin conditions and recommend treatment for airmen and Space Force guardians.

Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification Samia Allaoua Chelloug 1* Abduljabbar S. Ba Mahel 2 Rana Alnashwan 1 Ahsan ...

Welcome to my repository for the DeepLearning.AI TensorFlow Developer Professional Certificate course! Explore assigments, quizzes, and practice labs where I've developed skills in building, training, ...