Tanushree Shenwai, Author at MarkTechPost

Author: Tanushree Shenwai

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http://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.

Microsoft AI Team Unveils NaturalSpeech 2: A Cutting-Edge TTS System with Latent Diffusion Models for Powerful Zero-Shot Voice Synthesis and Enhanced Expressive Prosodies

AI ShortsJuly 26, 2023

The goal of text-to-speech (TTS) is to generate high-quality, diverse speech that sounds like real people spoke it. Prosodies, speaker identities (such as gender,...

New AI Research from the University of Maryland Investigates Cramming Challenge for Training a Language Model on a Single GPU in One Day

AI Paper SummaryJuly 24, 2023

In many areas of natural language processing, including language interpretation and natural language synthesis, large-scale training of machine learning models utilizing transformer topologies has...

Researchers at Michigan State University Developed ‘DANCE,’ a Python Library to Support Deep Learning Models for Analyzing Single-Cell Gene Expression at Scale

AI Paper SummaryJuly 23, 2023

From single-modality profiling (RNA, protein, and open chromatin) to multimodal profiling and spatial transcriptomics, the technology for analyzing single cells has advanced rapidly in...

Meta AI Introduces IMAGEBIND: The First Open-Sourced AI Project Capable of Binding Data from Six Modalities at Once, Without the Need for Explicit Supervision

AI ShortsJuly 22, 2023

Humans can grasp complex ideas after being exposed to just a few instances. Most of the time, we can identify an animal based on...

A New AI Research Introduces Multitask Prompt Tuning (MPT) For Transfer Learning

AI Paper SummaryJuly 21, 2023

Pretrained language models (PLMs) have significantly improved on many downstream NLP tasks due to finetuning. While current PLMs can include hundreds of millions of...

Do You Really Need Reinforcement Learning (RL) in RLHF? A New Stanford Research Proposes DPO (Direct Preference Optimization): A Simple Training Paradigm For Training...

AI ShortsJuly 21, 2023

When trained on massive datasets, huge unsupervised LMs acquire powers that surprise even their creators. These models, however, are trained on information produced by...

Researchers From Stanford And DeepMind Come Up With The Idea of Using Large Language Models LLMs as a Proxy Reward Function

AI Paper SummaryJuly 20, 2023

With the development of computing and data, autonomous agents are gaining power. The need for humans to have some say over the policies learned...

Do Models like GPT-4 Behave Safely When Given the Ability to Act?: This AI Paper Introduces MACHIAVELLI Benchmark to Improve Machine Ethics and Build...

AI EthicsJuly 18, 2023

Natural language processing is one area where AI systems are making rapid strides, and it is important that the models need to be rigorously...

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