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.
Customers may use Alexa to manage hundreds of different smart-home devices with just their voices, including plugs, lights, switches, door locks, cameras, and thermostats....
PLMs (pre-trained language models) have excelled at a variety of natural language processing (NLP) tasks. Auto-encoding and auto-regressive PLMs are the most common classifications...
Simultaneous multimodal experiences are an important facilitator of perceptual learning in humans. However, building a unified model for modality fusion in artificial learning systems...
One of the most promising uses of computer vision, autonomous driving, has made remarkable development in recent years. One of the most critical modules...
A promising family of generative models has emerged: score-based generative models (SGMs) and denoising diffusion probabilistic models. SGMs have applications in image, voice, and...
Fine-grained visual classification, in contrast to generic object classification, tries to correctly classify things from the same basic category (birds, vehicles, etc.) into subcategories....
Epigraphy is the study of ancient texts—inscriptions—written by individuals, organizations, and institutions in the ancient world on durable materials (stone, pottery, metal). Thousands of...
Because streaming video might be harmed by flaws introduced during recording, encoding, packing, or transmission, most subscription video services, such as Amazon Prime Video,...
Language models (LMs) are commonly used in natural language literature to assign probabilities to sequences of tokens. LMs have recently demonstrated outstanding performance in...
Deep generative models have produced realistic samples in a variety of domains, including image and audio. Video generation has recently emerged as the next...
Machine learning creates algorithms that support machines in better comprehending data and making data-driven judgments. According to some observers, machine learning will become quite...
