Author: G Chaithali

G Chaithali
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https://www.marktechpost.com/
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.

Facebook AI Introduces ‘NeuralProphet’: A Hybrid Forecasting Framework Based on PyTorch And Trained With Standard Deep Learning Methods

Meta/Facebook AI introduces 'Neural Prophet', a simple forecasting package that provides a solution to some of the most prevalent needs of customers, seeking to...

Ericsson And Uppsala University Team Up To Research Air Quality Prediction Using Machine Learning And Federated learning

Statistical methods have recently been applied in various sectors, spanning from health care to customer relationship management, to analyze and forecast the behavior of...

Scientists Use A New Deep Learning Method To Add 301 Planets to Kepler’s Total Count

deep neural networks are machine learning systems that automatically learn a task if provided with necessary data.  An artificial neural network (ANN) having numerous...

Uber Research Introduces ‘CRISP’: A Tool To Extract Critical Paths From Numerous Jaeger Traces

Microservices architecture consists of a collection of small, self-contained services. Each service should implement a particular business capability and be self-contained within a bounded...

Imperial College London Researchers Propose A Novel Randomly Connected Neural Network For Self-Supervised Monocular Depth Estimation In Computer Vision

Depth estimation is one of the fundamental problems in computer vision, and it's essential for a wide range of applications, such as robotic vision...

Meta AI Open-Sourced It’s First-Ever Multilingual Model (Won The WMT Competition): A Step Towards Future Of Machine Translation

Machine translation (MT) is the process of employing artificial intelligence to automatically translate text from one language (the source) to another (the destination) (AI)....

University of Waterloo AI Researchers Introduce A New NLP Model ‘AfriBERTa’ For African Languages Using Deep Learning Techniques

A technology that has been around for years but most often taken for granted is Natural Language Processing(NLP). It is the employment of computational...

Google AI Research Propose A Self-Supervised Approach for Reversibility-Aware Reinforcement Learning

Reinforcement learning(RL) is a machine learning training method that rewards desired behaviors and punishes undesired ones. RL is a typical approach that finds application...

Meta AI’s New Study Trains Robots To Induce Human Capabilities Like Touch To Perceive, Understand, And Interact With The Real World

Humans can recognize objects even if they are blindfolded because of other enhanced senses such as touch. Touch is a central sensing modality through...

USTC Researchers Introduce A Recursively Embedded Atom Neural Network (REANN) Model To Improve Existing Machine Learning Potential Surface Frameworks

Machine Learning has been extensively used in developing accurate interatomic potentials based on initial data of the given chemical system. Atomic Neural Networks(ANN) have...

MIT’s Latest AI Research Using Deep Neural Networks Explains How The Brain Processes Language Works

Language Modelling utilizes various statistics and probability techniques to predict the sequence of words occurring in a sentence. These models are widely used in...

CMU AI Researchers Present A New Study To Achieve Fairness and Accuracy in Machine Learning Systems For Public Policy

The rapid rise in machine learning applications in criminal justice, hiring, healthcare, and social service intentions substantially impacts society. These wide applications have heightened...