Author: Tanushree Shenwai

Tanushree Shenwai
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https://www.marktechpost.com
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.

Stanford Researchers Propose Deep Evolutionary Reinforcement Learning (DERL) Framework that Demonstrates Embodied Intelligence via Learning and Evolution

Researchers from Stanford University have recently introduced a new computational framework called Deep Evolutionary Reinforcement Learning (DERL). It allows AI agents to evolve morphologies...

Allen Institute For AI (AI2) Launches The 2.7.0 Version of AI2-THOR That Enables Users To Reduce Their Training Time Dramatically

Allen Institute for AI (AI2) has recently announced the 2.7.0 release of AI2-THOR. AI2-THOR is an open-source interactive environment for training and testing embodied...

PyTorch Lightning Team Introduces Flash Lightning That Allows Users To Infer, Fine-Tune, And Train Models On Their Data

What is Flash? Flash is a collection of fast prototyping tasks, baselining and fine-tuning scalable Deep Learning models, built on PyTorch Lightning. It offers a seamless...

Google AI launches Crowdsourcing Adverse Test Sets for Machine Learning (CATS4ML) Data Challenge

Researchers at Google AI have recently launched Crowdsourcing Adverse Test Sets for Machine Learning (CATS4ML) Data Challenge. This challenge focuses on improving evaluation datasets...

Researchers from the University of Sheffield & Beihang University Introduce a New Approach Based on Transfer Learning to Automate Historical Text Summarization

The researchers at the University of Sheffield, Beihang University, and Open University’s Knowledge Media Institute have introduced historical text summarization task, where documents in...

Researchers from InnoPeak Technology Propose GCF-Net: Gated Clip Fusion Network for Video Action Recognition

Researchers from InnoPeak Technology at Palo Alto, California, introduce Gated Clip Fusion Network (GCF-Net) to boost the existing video action classifiers with a tiny...

Researchers From Google Brain Introduces Symbolic Programming And A Python Library Called PyGlove For Automated machine learning

A team of researchers from Google Brain introduces a new way of programming automated machine learning (AutoML) based on symbolic programming. The team also...

Researchers At NAVER AI Lab Introduces ReLabel: A Novel Framework To Turn ImageNet Evaluation Into A Multi-Label Task

ImageNet is one of the most popular image classification benchmarks. It contains more than 14 million labeled images and has improved many image recognition...

Facebook AI Introduces N-Bref: A Neural-Based Decompiler Framework

Facebook AI introduces a neural-based decompiler framework called N-Bref, which improves traditional decompilation systems’ performance accuracy. The research led by Jishen Zhao is a...

Google Researchers Introduce a New Framework (TReCS) For Text-to-Image Generation

Deep neural networks based on Generative Adversarial Networks (GANs) have facilitated end-to-end trainable photo-realistic text-to-image generation. Many methods also use intermediate scene graph representations...

Researchers From Computer Vision Center (CVC) And The University Of Barcelona Conducted A Study That Results In Improved Accuracy On Face Verification Tasks In...

Automatic face recognition is being widely adopted by private and governmental organizations worldwide for various legitimate and beneficial purposes, such as improving security. However,...

Researchers Use Unsupervised Machine Learning To Understand And Visualize The Evolution In Classical Music

Many people may not be capable of defining what a minor mode in music is. Still, they can intuitively differentiate between notes belonging to...