Chaithali is a technical content writing consultant at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT),Bhubaneswar. She is interested in the field of Data Analytics and has keen interest in exploring its applications in various domains. She is passionate about content writing and debating.
Throughout the previous few decades, deep learning advances have contributed to outstanding outcomes on a wide range of tasks, including image classification, machine translation,...
Text-to-Speech (TTS) synthesis is achieved using current voice cloning methods for a new voice. They do not, however, manipulate the expressiveness of synthesized sounds....
Graph kernel approaches have typically been the most popular strategy for graph classification tasks. Graph kernels can be thought of as functions that measure...
While neural networks can be trained to learn, understanding a machine's decision-making process is challenging. According to MIT researchers, image classifiers are generally graded...
In the real world, machine learning (ML) procedures can be sensitive to adversarial attacks. Algorithms take numeric vectors as inputs. A malicious attack is...
Federated learning is a machine learning technique in which an algorithm is trained across numerous decentralized edge devices or servers, keeping local data samples...
Meta AI releases the beta version of Bean Machine, a probabilistic programming framework based on PyTorch that makes it simple to describe and learn about...
Machine learning provides researchers with excellent tools for identifying and predicting patterns and behavior. These tools are also capable of learning, optimizing, and performing...
The MLCommons Association, an open engineering community, dedicated to making machine learning more accessible to everyone, has released free datasets and technologies to help...
Transformer models consistently obtain state-of-the-art computer vision tasks, including object detection and video classification. In standard convolutional approaches, images are processed pixel-by-pixel. To obtain...
Large-scale transformer systems have drastically enhanced natural language processing (NLP) tasks. The original Transformer significantly improved the state-of-the-art in machine translation. However, the advantages...
Deep learning-based models dominate the contemporary landscape of production recommender systems. Modern recommender systems offer a plethora of real-world applications. Thanks to deep neural...
