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.

This Research Paper From Google Research Proposes A ‘Message Passing Graph Neural Network’ That Explicitly Models Spatio-Temporal Relations

Recently, Computer vision (CV) research-driven by Deep Learning has achieved significant progress in classifying video clips taken from the Internet and analyzing human actions...

Researchers From the University of Toronto and LG AI Research Develop ‘Explainable’ Artificial Intelligence (AI) Algorithm

A team of researchers from the University of Toronto and LG AI Research have developed an explainable artificial intelligence (XAI) algorithm. The algorithm can...

Researchers From Microsoft and Princeton University Find Text-Based Agents can Achieve High Scores Even in The Complete Absence of Semantics

Recently, Text-based games have become a popular testing method for developing and testing reinforcement learning (RL). It aims to build autonomous agents that can...

Researchers From DeepMind And Alberta University Propose Policy-Guided Heuristic Search Algorithm

Machine learning techniques usually assume that the training and test data were generated from the same statistical distribution. This assumption, however, doesn’t go well...

Researchers at Lawrence Livermore National Laboratory (LLNL) Developed a Novel Deep Learning Framework for Symbolic Regression

At the Lawrence Livermore National Laboratory (LLNL), scientists have developed a novel framework and an accompanying visualization tool that utilizes deep reinforcement learning for...

Google AI Introduces a New System for Open-Domain Long-Form Question Answering (LFQA)

Open-domain long-on answering (LFQA) form questions a fundamental challenge in natural language processing (NLP) that involves retrieving documents relevant to a given query and...

Facebook AI In Collaboration With New York University Research Team Introduce A Novel Self-Supervised Learning Approach For Computer Vision

Advancements in the field of self-supervised learning (SSL) for visual data have shown that training highly complex image representations without manual labels is possible....

Researchers At Skoltech Institute Explain How Turing-Like Patterns Cause Neural Networks To Make Mistakes

Although intelligent and adept at image recognition and classification, deep neural networks can still be vulnerable to adversarial perturbations, i.e., small but queer details...

Facebook AI Introduces TimeSformer: A New Video Architecture Based Purely On Transformers

Facebook AI has built a new architecture for video understanding called TimeSformer. The video architecture is purely based on Transformers. Transformers have become the dominant approach for many...

Google AI and UC Berkeley Introduce PAIRED: A Novel Multi-Agent Approach for Adversarial Environment Generation

The success of any machine learning technique is hugely dependent on its training data. In the case of reinforcement learning (RL), we can either...

How ‘MAB’ (Multi-Armed Bandit), A Reinforcement Learning Algorithm, Helps To Solve Ad Optimization Problem

Digital Advertising agencies cater to billions of ads on various digital platforms. However, their primary concern remains the same- Which ad will be most...

Researchers at Utrecht University Develop an Open-Source Machine Learning (ML) Framework Called ASReview to Help Researchers Carry Out Systematic Reviews

Scientists often start their research on a topic by reviewing previous study findings. Therefore, conducting systematic literature reviews or meta-analyses can be very demanding and time-consuming....