Nitish is a computer science undergraduate with keen interest in the field of deep learning. He has done various projects related to deep learning and closely follows the new advancements taking place in the field.
The study on explainability or explainable AI is currently receiving a lot of attention as DNNs become accessible in a variety of application domains....
Since the rise in popularity of AR/VR applications, researchers have been studying the process of reconstructing 3D objects. Researchers can create data-driven algorithms for...
The complexity of the natural world, which is made up of different entities, results from the combined, largely autonomous actions of the entities. To...
The scale of vision models has increased tremendously in recent years, from tens of millions to hundreds of millions, if even billions, for Transformers....
Tissue phenotyping is a basic challenge in computational pathology (CPATH), which tries to characterize objective, histopathologic aspects inside gigapixel whole-slide images (WSIs) for cancer...
Machine learning holds the possibility of assisting people with personal activities. Personal jobs range from well-known activities like subject categorization over personal correspondence and...
This Article is written as a summay by Marktechpost Staff based on the Research Paper 'Data Distributional Properties Drive
Emergent In-Context Learning in Transformers'. All...
In applications such as image classification and natural language processing, transformer models have emerged as the most often utilized architecture. Transformers have expanded in...
This Article is written as a summay by Marktechpost Staff based on the Research Paper 'PUMA: Performance Unchanged Model Augmentation for Training Data Removal'....
