Author: Tanushree Shenwai

Tanushree Shenwai
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Tanushree Shenwai is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Bhubaneswar. She is a Data Science enthusiast and has a keen interest in the scope of application of artificial intelligence in various fields. She is passionate about exploring the new advancements in technologies and their real-life application.

Apple Researchers Invent A New Blood Pressure System Using Neural Networks that accepts a Seismocardiogram (SMG) As Input

Recently, the US Patent & Trademark Office has published a patent application from Apple labeled “Interpretable Neural Networks for Cuffless Blood Pressure Estimation.” Studies show...

Researchers From Allen Institute for AI Releases AI2-THOR 3.0, An Embodied AI Framework for Visual Object Manipulation In Robotics Testing Scenario

The Allen Institute for AI (AI2) announces the release of AI2-THOR 3.0, which is an embodied AI framework. Embodied Artificial Intelligence is a sub-specialty of artificial intelligence at...

Time-Travel Rephotography: An AI-Based Technique Using StyleGAN2 Framework To Color And Restyle Old Photographs

Film and photography methods faced numerous challenges in capturing the essence of an image in the past. Initially, apart from the black and white...

Researchers Introduce a Convolutional Neural Network (CNN)-Based Model that Automates the Distinction Between Natural Images and Computer-Generated Images (CGI)

With the increasing performance accuracy of computer software systems, the realistic appearance of computer-generated images (CGI) and deepfakes often leads to assuming them as...

Researchers at Google AI, NVIDIA, Technical University of Munich (TUM), and Ludwig-Maximilians-University Introduce CodeTrans: An Encoder-Decoder Transformer Model for the Software Engineering Tasks Domain

In recent years, Natural language processing (NLP) techniques are adopted widely to solve the programming languages’ tasks to assist the software engineering process. A...

Researchers At The University of Tokyo Present A Frequency-Based Inpainting Method To Generate Missing Image Portions

Researchers from the University of Tokyo introduce a frequency-based inpainting method that can use both frequency and spatial information to generate missing image portions.  Image...

Researchers From MIT-IBM Watson AI Lab, the University of Michigan, and ShanghaiTech University Study Ways to Detect Biases and Increase Machine Learning (ML) model’s...

AI systems are widely adopted in several real-world industries for decision-making. Despite their essential roles in numerous tasks, many studies show that such systems...

Facebook AI Introduces A New Self-Supervised Learning Framework For Model Selection And Hyperparameter Tuning For Large-Scale Forecasting

Researchers at Facebook AI have recently released a new self-supervised learning framework for model selection (SSL-MS) and hyperparameter tuning (SSL-HPT), which provides accurate forecasts...

Researchers at Google AI Introduce an Efficient Neural Volumetric Representation that Enables Real-Time View Synthesis

View synthesis is a computer vision (CV) technique that uses observed images to recover a 3D scene representation that can render the scene from...

Researchers From Tsinghua University, The National University of Singapore Have Recently Developed An AI Tool Called ‘MolMapNet’ That Predicts Drugs Pharmaceutical Properties

A group of researchers from Tsinghua University, Fudan University's School of Pharmacy, the National University of Singapore, and Zheijang University have developed a novel...

Researchers at MIT and Amazon Study Pervasive Label Errors in Test Sets that Destabilize Machine Learning Benchmarks

Large labeled data sets are crucial for successful supervised machine learning (ML) across several domains such as image classification, sentiment analysis, and audio classification....

Researchers From Osaka University Use Deep Learning To Improve Mobile Mixed Reality Generation

Researchers from the Division of Sustainable Energy and Environmental Engineering at Osaka University have used deep learning to boost mobile generations of mixed reality....