A new study explores deep learning for image-based defect detection during 3D printing, looking to catch bad builds.

The University of Washington is looking to keep students on the cutting edge of technology as AI continues to reshape ...

The JoSAA Counselling 2026 is underway. The registration and choice filling window will remain open until June 11. Here is a ...

To the untrained eye, there is very little difference between the three known versions of “The Lute Player.” Almost identical in composition, the paintings all depict a young, doe-eyed subject in ...

1 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, Bangladesh. 2 Department of Computer Science and Engineering, Green University of Bangladesh, Narayanganj, Bangladesh ...

The main theme of research in Bot Intelligence Group (BIG) is to develop robotic intelligence ranging from the low-level autonomy to the high-level cognitive abilities. We aim to develop robots that ...

Abstract: Deep learning algorithms and models have made an impact in the area of AI and machine learning, one among them is CNN. CNN is extensively used in the area of image recognition and object ...

Gregory Barbaccia, who was named the federal chief information officer just a week into the new administration, said one of his priorities is learning how to do more with less. White House Workforce ...

Weeds remain one of the most persistent problems in agriculture. But the biggest issue facing modern farmers isn't getting rid of weeds; mechanical tools and herbicides can do that. Instead, the ...

On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 ...

Artificial Intelligence (AI) is more than a technological breakthrough—it is a transformative force shaping the future economy, security landscape, global power dynamics, and daily life. The US, along ...

This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...