Author: Tanushree Shenwai

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.

Get Ready for a Sound Revolution in AI: 2023 is the Year of Generative Sound Waves

The previous year saw a significant increase in the amount of work that concentrated on Computer Vision (CV) and Natural Language Processing (NLP). Because...

Salesforce AI Research Introduces BLIP-2: A Generic And Efficient Vision-Language Pre-Training Strategy That Bootstraps From Frozen Image Encoders And Frozen Large Language Models (LLMs)

Research on vision-language pretraining (VLP) has advanced quickly in the past few years. Pre-trained models of progressively bigger scale have been created to advance...

A New Artificial Intelligence (AI) Benchmark Called DeepPrivacy2 Provides Realistic Anonymization of Human Faces and Whole-Body

Many applications require collecting personally identifiable information, making image collection and storage commonplace. Recently enacted legislation in many jurisdictions makes it difficult to acquire...

UCLA Researchers Developed A New Deep Learning-Based Framework That Allows A Robot To Tackle Paper Folding And The Oriental Art of Origami

Everywhere we go, we come into contact with pliable, slim structures. Large deformations are a common feature of these structures when subjected to even...

Researchers at Sony Introduces M2FNet: A Multi-modal Fusion Network for Emotion Recognition in Conversation

Knowing how people engage with content is a crucial skill. Unseen mental states connected to thinking and feeling are called emotions. Without physical cues,...

A New AI-Based Method Called SparseGPT can Prune Generative Pretrained Transformer (GPT) Family Models in One Shot to at least 50% Sparsity

Amazing performance across many tasks has been demonstrated by the Generative Pretrained Transformer (GPT) family of large language models (LLMs). However, they are cumbersome...

Researchers at Stanford Introduce Parsel: An Artificial Intelligence AI Framework That Enables Automatic Implementation And Validation of Complex Algorithms With Code Large Language Models...

Though recent advances have been made in large language model (LLM) reasoning, LLMs still have a hard time with hierarchical multi-step reasoning tasks like...

Researchers Predict Semantically Meaningful and Calibrated Uncertainty Intervals in the Latent Space of a Generative Adversarial Network

There has been a continuous effort in the scientific and technological communities to raise the bar for the precision of measurements of all types,...

MIT Team Introduces Sybil: A Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography

Topping the list of the world's worst malignancies is lung cancer, which is expected to claim 1.7 million lives around the globe in 2020....

Microsoft AI Releases NTREX-128: A New Data Set for Machine Translation (MT) Evaluation from English into a Total of 128 Target Languages

Multilingual Neural Machine Translation (MNMT) reduces deployment costs by allowing a single system to translate sentences between several source and target languages. To gauge the...

LangChain Open-Sources Its Chatbot For Answering Queries About LangChain’s Documentation

Emerging as a game-changing technology, large language models (LLMs) let programmers create programs they couldn't create before. However, the strength of these LLMs derives...

Amazon AI Research Studies Private Aggregation Of Teacher Ensemble Learning For End-To-End Speech Recognition

Data is crucial for training modern AI models. While public-domain data sets can be used to train such models, the volume and close match...

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