Author: Aneesh Tickoo

Aneesh Tickoo
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Aneesh Tickoo is a consulting intern at MarktechPost. He is currently pursuing his undergraduate degree in Data Science and Artificial Intelligence from the Indian Institute of Technology(IIT), Bhilai. He spends most of his time working on projects aimed at harnessing the power of machine learning. His research interest is image processing and is passionate about building solutions around it. He loves to connect with people and collaborate on interesting projects.

CMU Researchers Propose Deep Attentive VAE: The First Attention-Driven Framework For Variational Inference In Deep Probabilistic Models

This Article is written as a summay by Marktechpost Staff based on the Research Paper 'DEEP ATTENTIVE VARIATIONAL INFERENCE'. All Credit For This Research...

Meet ‘Codeball’ – A Deep Learning-based Automated Code Reviewer That Will Help Maintainers Review Github Pull Requests

Data in all forms, whether photos, music, or code, is being created on a large scale. Many GitHub code submissions require reviewers to read...

Microsoft and AWS Collaborate To Develop ‘PyWhy’: A New Github Home For ‘DoWhy’ (A Causal Machine Learning Library From Microsoft)

As computing systems become more actively involved in societally essential areas such as healthcare, education, and government, it is crucial to accurately forecast and...

CoAuthor: A Human-AI Collaborative Writing Dataset For Improving Language Tools

Large language models (LMs) provide novel opportunities for interface design. Large language models have undoubtedly advanced to the point where they may be compared...

Microsoft AI Researchers Introduces (De)ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

While there are several benefits to using Artificial Intelligence, there are also drawbacks to this cutting-edge technology. One example is the creation of inappropriate...

Amazon Researchers Develop A New Way To Rewrite Database Queries To Eliminate Redundancies

As databases grow in size, queries become slower. Database queries frequently contain multiple repetitive procedures that can be eliminated. To discover a full name...

DeepMind Researchers Develop A Machine Learning Technique For Accurate Sampling And Free-Energy Estimate Of Solid Materials Using Normalizing Flows

This Article Is Based On The Research Paper 'Normalizing flows for atomic solids'. All Credit For This Research Goes To The Researchers of This...

Baidu Researchers Propose a Quantum Self-Attention Neural Network (QSANN) by Introducing the Self-Attention Mechanism to Quantum Neural Networks

This Article Is Based On The Research Paper 'Quantum Self-Attention Neural Networks for Text Classification'. All Credit For This Research Goes To The Researchers...

Checkout These Major Updates In The ML.NET Automated Machine Learning (AutoML) Framework

This Article Is Based On The Microsoft Article 'What’s new with ML.NET Automated ML (AutoML) and tooling'. All Credit For This Research Goes To...

Google Open-Sources Skin Tone Research As An Attempt To Improve Skin Tone Evaluation In Machine Learning

This Article Is Based On The Research Article 'Improving skin tone representation across Google'. All Credit For This Research Goes To The Researchers πŸ‘πŸ‘πŸ‘ Please...

Researchers Build On Splade Technique For Enhancing Sparse Neural IR Models

This Article Is Based On The Research Paper 'From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective'. All Credit For...

In A Latest ML Research, CMU Researchers Explains The Connection Between MBRL And The World Of BOED By Deriving An Acquisition Function

This Article Is Based On The Research Paper 'An Experimental Design Perspective on Model-Based Reinforcement Learning'. All Credit For This Research Goes To The...

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