IEEE

Hyperspectral Image Classification Using Gated Adaptable Convolutional-Based Kolmogorov–Arnold Network

Abstract: Vision transformers (ViTs) and convolutional neural networks (CNNs) have demonstrated remarkable performance in classifying complicated hyperspectral images (HSIs). However, these models ...
Tech Xplore

Grounded in reality, new AI model spots fake images with less training

Artificial intelligence (AI)-generated images have become increasingly more sophisticated than early ones that showed humans ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...

Classiq and UC Chile Launch Quantum AI Research for Biomedical Image Analysis Leveraging Integration with NVIDIA CUDA-Q

Collaboration expands quantum computing in LATAM, supporting quantum machine learning for digital pathologySANTIAGO, Chile, ...
Neurology Advisor

Multimodal Deep Learning Model Improves CT-Based Alzheimer Disease Classification

A multimodal deep learning framework trained on paired CT and MRI data demonstrated improved diagnostic accuracy when classifying patients with Alzheimer disease, mild cognitive impairment, or normal ...
Smithsonian Magazine

In the Early Days of Machine Learning, Massive Computers Said George Harrison Was a Woman. A.I. Has Come a Long Way

A Cornell professor designed a room-size network of sensors that represented a single neuron. He claimed it would grow wiser ...

NVIDIA and TSMC Bring AI Into Fabs to Advance Semiconductor Design and Manufacturing

NVIDIA CUDA-X libraries and AI models are accelerating TSMC workloads across lithography, transistor and process simulation, ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...