Research from a team of Harvard and Google scientists has revealed never-before-seen details of the human brain’s structure.

A unique combination of explainable AI and repurposing animal camouflage detection algorithms can identify human brain cancer ...

Intel Neural Compressor will convert the model format from auto-gptq to hpu format on the first load and save hpu_model.safetensors to the local cache directory for the next load. So it may take a ...

The ROIs were categorized into small, medium, and large groups. Convolutional neural network (CNN) analysis was conducted on a per-lesion basis, while support vector machine (SVM) analysis was done on ...

Research shows that CNNs trained on camouflage detection improve brain tumor classification in MRI scans, highlighting the ...

Integrating quantum circuits in 3D CNNs, this research improves blood flow velocity prediction with LSCI, addressing ...

Artificial intelligence models are getting better at pinpointing brain tumors – and they’re using a surprising technique ...

Dairy cows typically rest for 10 or more hours a day, so a dry, clean, and comfortable place—such as a freestall—to lie down ...

Federal funding for cognitive research in the late 1970s and early 1980s unexpectedly led to significant advancements in ...

It is the computational processing of images that reveals the finest details of a sample placed under all kinds of different light microscopes. Even though this processing has come a long way, there ...

AI models trained on MRI data can now distinguish brain tumors from healthy tissue with high accuracy, nearing human performance.

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence models to distinguish brain tumors from healthy tissue.