Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...

Across Africa, a new generation of policy oriented technologists is beginning to redefine the relationship between governance, economic development, clean energy transition, and Artificial ...

IIT Delhi has announced admissions for its Applied AI, ML and Decision Science Programme, an eight-month online certification ...

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...

ChatGPT is the best all-round free AI tool for writing, research, coding help, planning, and everyday tasks. Canva AI is the easiest free AI tool for finished visuals because you can create images and ...

Abstract: Contemporary software engineering tools employ deep learning methods to identify bugs and defects in source code. Being data-hungry, supervised deep neural network models require large ...

Weakly-supervised semantic segmentation (WSSS) with image-level labels is an important and challenging task. Due to the high training efficiency, end-to-end solutions for WSSS have received increasing ...

The management of ultrasonography (US) of thyroid nodules is often time consuming and may be inconsistent between observers. The use of deep learning (DL) can increase the speed of examinations and ...