Here is our pytorch implementation of the model described in the paper EfficientDet: Scalable and Efficient Object Detection paper (Note: We also provide pre-trained weights, which you could see at ./trained_models)
A minimally invasive procedure to determine whether patients with drug-resistant epilepsy are candidates for brain surgery is safer, more efficient, and leads to better outcomes than the traditional method
Axon myelination is significantly disrupted in patients with Alzheimer’s disease. Researchers also found brain cells of men and women vary significantly in how their genes respond to the neurodegenerative disease.
Current deep learning models are able to create images strongly enough to activate specific neurons in the visual cortex. However, researchers say more accurate artificial neural network models should be developed to help produce more accurate control.
BOLD5000, a new, large scale data set of brain scans of people viewing images, is helping researchers to better understand how the brain processes images. The data set is a big step towards using computer visual models to study biological vision.
Children consider technologies that pose an ambiguous threat as ‘creepy’. Researchers pinpoint five aspects of technology that contribute to the feeling of ambiguity, examples of which are lack of control, ominous physical appearance and mimicry.