Author: 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.

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

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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

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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

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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

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

Researchers Build On Splade Technique For Enhancing Sparse Neural IR Models

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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

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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...

Waymo and Google Researchers Propose a Simple Framework, called PolyLoss, to View and Design Loss Functions as a Linear Combination of Polynomial Functions

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This Article Is Based On The Research 'POLYLOSS: A POLYNOMIAL EXPANSION PERSPECTIVE OF CLASSIFICATION LOSS FUNCTIONS'. All Credit For This Research Goes To The...

IVY: An Open-Source Tool To Make Deep Learning Code Compatible Across Frameworks

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This Article Is Based On The Research 'IVY: TEMPLATED DEEP LEARNING FOR INTER-FRAMEWORK PORTABILITY'. All Credit For This Research Goes To The Researchers...

Bloomberg Open-Sources Memray: A Memory Profiler That Can Track Memory Allocations In Python Code In Native Extension Modules And Python Interpreter

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This Article Is Based On Github Repo 'bloomberg/memray'. All Credit For This Research Goes To The Researchers Of This tool 👏👏👏 ✍ Submit...

How Safe Is The Data You Use For Training Your Machine Learning Model?

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This Article Is Based On The Research Paper 'Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets'. All Credit For This Research Goes...
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