Author: Kriti Maloo

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http://www.marktechpost.com
Consultant Intern: Kriti Maloo is currently pursuing her B.Tech from Indian Institute of Technology (IIT) Bhubaneswar. She is interested in Data Analytics and its applications in various domains. She is a Bibliophile and loves to explore new advancements in the field of technology.

Researchers From The Ohio State University Use Machine Learning And Drones To Develop A Novel Method For Determining Health Of Soybean Fields

This Article is written as a summary by Marktechpost Staff based on the paper 'Assessing the efficacy of machine learning techniques to characterize soybean...

Chung-Ang University Researchers Developed SphereGAN: A Simple And Effective Generative Adversarial Network For Unsupervised Image Generation

This Article is written as a summay by Marktechpost Staff based on the paper 'SphereGAN: Sphere Generative Adversarial Network Based on Geometric Moment Matching...

UNC School of Medicine Researchers Identify Long COVID Patients In The USA Using Machine Learning

Clinical scientists have explored de-identified electronic health record data in the National COVID Cohort Collaborative(N3C), a National Institutes of Health-funded national clinical database, using...

Latest Research Explores The Machine Learning Algorithm For Forecasting Population Changes And It Is More Accurate When Trained On Historical Data Than Demographic Modeling

This Article Is Based On The Research Article 'Application of machine learning algorithms for population forecasting'. All Credit For This Research Goes To...

Researchers Propose A Graph-Based Machine Learning Method To Quantify The Spatial Homogeneity Of Subnetworks

This Article Is Based On The Research Paper 'Quantifying spatial homogeneity of urban road networks via graph neural networks'. All Credit For This Research...

Capturing the Intricacy of Breaking Waves using Artificial Intelligence

This Article Is Based On The Research 'Nonlinear wave evolution with data-driven breaking' and MIT article 'Engineers use artificial intelligence to capture the complexity...

UTokyo Researchers Introduce A Novel Synthetic Training Data Called Self-Blended Images (SBIs) To Detect Deepfakes

This Article Is Based On The Research Paper 'Detecting Deepfakes with Self-Blended Images'. All Credit For This Research Goes To The Researchers Of This...

Bytedance Announces A New Plugin That Utilizes Machine Learning For Audio Synthesis

This Article Is Based On Mawf Insights and Information. All Credit For This Research Goes To The Researchers Of This Project 👏👏👏 Please Don't Forget...

Meta AI and CMU Team Releases New Dataset For Green Hydrogen Fuel To Accelerate Renewable Energy

This Article Is Based On The Meta AI's article 'Accelerating renewable energy with new data set for green hydrogen fuel'. All Credit For This...

In The Latest NYU And NIH Research Findings, Working Memories Are Compressed Into Low-Resolution ‘Summaries’ By The Human Brain

This article is based on the research paper 'Unveiling the abstract format of mnemonic representations' and NIH article. All credit goes to...

This Research Group Explains How Deep Learning Can Be Utilized To Anticipate Impending Precipitation

This article summary is based on the research paper: 'Precipitaion Nowcasting using Deep Neural Network' and Techxplore post. All credits for this research goes to...

Baidu Researchers Propose PP-YOLOE Object Detector: an Evolved Version of YOLO Achieving SOTA Performance in Object Detection

This research summary is based on the paper 'PP-YOLOE: An evolved version of YOLO' Please don't forget to join our ML Subreddit Object detection is a...

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