Author: Tanushree Shenwai

Tanushree Shenwai
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https://www.marktechpost.com
Tanushree Shenwai is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Bhubaneswar. She is a Data Science enthusiast and has a keen interest in the scope of application of artificial intelligence in various fields. She is passionate about exploring the new advancements in technologies and their real-life application.

Google Adds Facial Expression Recognition To The Android Accessibility Suite In The Beta Version Of Android 12

According to XDA developers, Google has added a new feature called collectively Camera Switches to the beta version of the Android Accessibility Suite. It...

Facebook AI Introduces Fully Sharded Data Parallel (FSDP) Algorithm That Makes Training Large AI Models Easier Using GPUs

Training AI models is a crucial step in developing a precise and accurate model. In addition to requiring significant computing and engineering resources, most...

NAIST Researchers Introduce A New Machine Learning (ML) Algorithm To Localize Proteins Within the Cells

Artificial intelligence (AI) offers several advantages to the healthcare sector. It provides precise and accurate results to complex and time-consuming diagnostics to get unprecedented...

Snapchat Shows How It Uses GPUs To Accelerate Machine Learning (ML) Inferences

Machine learning (ML) and Artificial intelligence (AI) have transformed how industries make business decisions. Many firms are now leveraging ML and AI to compile...

Google AI Introduces Tagged Corruption Models To Generate Synthetic Dataset, C4_200M Corpus, For Grammatical Error Correction (GEC)

In recent years, Natural Language Processing (NLP) has evolved into a powerful field in AI. It finds applications in various tasks, including language translation,...

DGIST Team Introduces, ‘DRANet’, An AI Neural Network Module That Can Separate And Convert Environmental Information In The Form Of Complex Images Using Deep...

As a result of recent advances in Deep Learning (DL), deep learning neural networks (DNN) have been widely used to improve model performance in...

Tably, An AI-Powered Camera App, Give You A Deeper Understanding Of Your Cat’s Health And Mood

Cats are a popular pet choice, but many cat owners are puzzled by their feline companions' emotions. This is a challenging assignment because cats...

Google AI Introduces Two New Datasets, ‘TimeDial’ and ‘Disfl-QA’, For Conversational NLP (Natural Language Processing)

Natural language processing (NLP) has made significant advancements in recent years, with applications in learning, comprehending, and generating human language content. However, one of...

DeepMind Introduces XLand: An Open-Ended 3D Simulated Environment Space To Train and Evaluate Artificial Agents

Deep reinforcement learning (deep RL) has seen promising advances in recent years and produced highly performant artificial agents across a wide range of training...

AI Research Team From Princeton, Berkeley and ETH Zurich Introduce ‘RLQP’ To Accelerate Quadratic Optimization With Deep Reinforcement Learning (RL)

Quadratic programming (QPs) is widely used in various fields, including finance, robotics, operations research, and many others, for large-scale machine learning and embedded optimal...

A New Study By UCSF and Facebook Introduces Neural Interface That Restores Speech

Researchers at the University of California San Francisco have achieved promising results in their Brain-Computer Interface (BCI) project, demonstrating that someone with a severe...

DeepMind Researchers Introduce Epistemic Neural Networks (ENNs) For Uncertainty Modeling In Deep Learning

Deep learning algorithms are widely used in numerous AI applications because of their flexibility and computational scalability, making them suitable for complex applications. However,...