Author: Annu Kumari

Annu is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Kanpur. She is a coding enthusiast and has a keen interest in the scope of application of mathematics in various fields. She is passionate about exploring the new advancements in technologies and their real-life application.

Meet GPT-NeoX-20B, A 20-Billion Parameter Natural Language Processing AI Model Open-Sourced by EleutherAI

This research summary is based on the paper 'GPT-NeoX-20B: An Open-Source Autoregressive Language Model' Please don't forget to join our ML Subreddit In the latest AI...

Google AI’s Latest 540-Billion Parameter Model (Pathways Language Model Called PaLM) Unlocks New Tasks Proportional To Scale

This research summary article is based on the paper 'PaLM: Scaling Language Modeling with Pathways' Please don't forget to join our ML Subreddit In recent years,...

Meet ‘CodeGen’: An AI Model That Turns Simple Natural Language Requests Into Executable Code

Please don't forget to join our ML Subreddit Imagine being able to tell a machine to write an app simply by telling it what the...

Researchers from MIT CSAIL Introduce ‘Privid’: an AI Tool, Build on Differential Privacy, to Guarantee Privacy in Video Footage from Surveillance Cameras

This research summary article is based on the paper 'Privid: Practical, Privacy-Preserving Video Analytics Queries' and MIT article 'Security tool guarantees privacy in surveillance...

Researchers From Tsinghua University Propose ‘Stochastic Scheduled SAM’ (SS-SAM): A Novel And Cost-Efficient Training Scheme For Deep Neural Networks

This article is based on the research paper 'SS-SAM : Stochastic Scheduled Sharpness-Aware Minimization for Efficiently Training Deep Neural Networks' Deep Neural Networks (DNNs) have...

ML Researchers From Oxford Propose a Forward Mode Method to Compute Gradients Without Backpropagation

The amount of money and energy necessary to train AI models has become a hot-button issue as they grow in size. Leaders in the...

Stanford and Meta Researchers Release ‘ConcurrentQA’ Public Data Set With Data From Multiple Privacy Scopes And a Privacy Methodology

People increasingly rely on AI systems like assistants and chatbots to assist them with various tasks, from answering weather questions to organizing a meeting...

This Research Paper Explain The Compute Trends Across Three Eras Of Machine Learning

The three essential components that determine the evolution of modern Machine Learning are computing, data, and algorithmic advancements (ML). The article looks at trends...

Google Researchers Propose a NovelĀ Method, Called Constrained Instance reWeighting (CIW), To Reduce Noisy Labels in Deep Neural Networks

Deep neural networks (DNNs) have been highly successful in delivering substantial performance advances in various real-world applications, ranging from image recognition to genomics. Modern...

Understanding Bias in Artificial Intelligence Models and Ways to Mitigate

Artificial intelligence's increased use in sensitive sectors such as recruiting, criminal justice, and healthcare has sparked a debate regarding bias and fairness. However, human...

Recognizing Chemical Formulas from Research Papers Using a Transformer-Based Artificial Neural Network

In the last few years, deep learning has been playing an integral role in various scientific and technology areas. This development promotes AI-based tools...

UC Berkeley Researchers Introduce ‘imodels: A Python Package For Fitting Interpretable Machine Learning Models

Recent developments in machine learning have resulted in more complicated predictive models, typically at the expense of interpretability. Interpretability is frequently required, especially in...

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