While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the ...

Modern neuroscience and the computational modeling of the activities of vast, integrated neural networks provide fruitful accounts of how our minds work and learn.

Explore how the diffusion of innovations theory aids in developing marketing strategies for new products and increasing market share through five key steps.

Abstract: Deep neural networks (DNNs) have been shown to be vulnerable to adversarial examples. Moreover, the transferability of the adversarial examples has received broad attention in recent years, ...

Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the figure below. Second, we considered geolocation ...

This document demonstrates a minimalist example of how to write a CHAP-compatible forecasting model. The example is written in Python, uses few variables without any lag and a standard machine ...

Abstract: We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. Our approach trains a teacher model using adversarial examples to ...