Author: Khushboo Gupta

Khushboo Gupta
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Khushboo Gupta is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Goa. She is passionate about the fields of Machine Learning, Natural Language Processing and Web Development. She enjoys learning more about the technical field by participating in several challenges.

Google AI’s Latest Research Explains How They Combined Machine Learning ML and Semantic Engines SE To Develop A Novel Transformer-Based Hybrid Semantic ML Code Completion

One of the biggest obstacles to software engineering efficiency is the growing complexity of code. Code completion has been crucial in integrated development environments...

Microsoft AI Releases ‘DeepSpeed Compression’: A Python-based Composable Library for Extreme Compression and Zero-Cost Quantization to Make Deep Learning Model Size Smaller and Inference...

Research in deep learning and AI is being revolutionized by large-scale models, which has resulted in significant advancements in numerous areas, including multilingual translation,...

Researchers from DeepMind and University College London Propose Stochastic MuZero for Stochastic Model Learning

Recent research has shown that model-based reinforcement learning is incredibly effective. However, learning a model separately from using it during planning can be challenging...

Amazon AI Releases PyTorch-Based ‘Sockeye 3’: The Latest Version of the Sockeye Toolkit for Neural Machine Translation (NMT)

The performance of machine translation systems, which previously relied on phrase-based systems, has suddenly improved with the advent of neural network-based models. An open-source...

Google Researchers Open-Source the TensorFlow GNN (TF-GNN): A Scalable Python Library for Graph Neural Networks in TensorFlow

Graph-native neural networks, or GNNs, offer a user-friendly method for performing node-level, edge-level, and graph-level prediction tasks. These deep learning techniques are specifically made...

Meet Intel® Neural Compressor: An Open-Source Python Library for Model Compression that Reduces the Model Size and Increases the Speed of Deep Learning Inference...

Intel has recently released Neural Compressor, an open-source Python package for model compression. This library can be applied to deep learning deployment on CPUs...

Google AI Introduces ‘Mood Board Search’: A Web-Based Tool That Lets You Train A Computer To Recognize Visual Concepts Using Mood Boards And Machine...

On freely accessible, searchable websites, there is an abundance of visual data available. Thanks to recent developments in computer vision and natural language processing,...

Meta AI Introduces the First Model Capable of Automatically Verifying Hundreds of Thousands of Citations at Once

Wikipedia is the most used encyclopaedia of all time for research, background information, and other purposes. It has over 6.5 million articles. The question...

Adobe AI Researchers Open-Source Image Captioning AI CLIP-S: An Image-Captioning AI Model That Produces Fine-Grained Descriptions of Images

Most of the time, text similarity goals are used to train modern image captioning algorithms. However, models trained with text similarity methodology often neglect...

Google AI Proposes ‘MLGO’: A Machine Learning Guided Compiler Optimization Python Framework

Since the invention of modem computers, there has been a constant demand for optimization and speedier code compilation. Large data center programs can benefit...

NVIDIA Researchers Propose Global Context Vision Transformer (GC ViT): A Novel Architecture That Enhances Parameter And Compute Utilization

Vision Transformer (ViT) has become one of the most cutting-edge architectures for computer vision (CV) problems in contemporary transformer architectures associated with natural language...

Researchers at Stanford have developed an Artificial Intelligence (AI) model, EG3D, that can generate random images of faces and other objects with high resolution...

Artificially intelligent models have recently advanced to the point that users will soon be able to utilize these models to immediately construct and alter...