Author: Tanushree Shenwai

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.

Sony AI Launches An AI-Powered Gastronomy Flagship Project

Sony AI has recently announced its first major research initiative in the Gastronomy Flagship Project, an AI-powered initiative aiming to enhance chefs’ creativity and techniques...

Create A Festive Song With A Little Help From Machine Learning Using ‘Blob Opera’ Just Released By Google

Christmas songs are paramount during this festive season, and with Google's new app, one can make this Christmas memorable by composing cheerful operatic songs.   Google's Blob...

Inductive Biases May Bridge The Gap Between Current Deep Learning And Human Cognitive Abilities

At present, machine learning (ML) models find applications in various fields, and many ML systems have achieved remarkable accuracy in a variety of domains....

Multi-Expert Learning Architecture (MELA), A Method To Combine Deep Neural Networks

Researchers at the University of Edinburgh and Zhejiang University have revealed a unique way to combine deep neural networks (DNNs) for creating a new...

Nvidia’s New Technique — Called Adaptive Discriminator Augmentation (ADA) — Allows Researchers To Train AI Models Using Limited Datasets

Nvidia introduces a new method to train AI models using limited data sets. Using minimal study material required for a general GAN, it can...

How DeepMind Is Using JAX To Accelerate AI Research

JAX is a Python library developed by Google researchers for high-performance numerical computing. Its API is based on NumPy. NumPy is a collection of...

Tracking 3-D Motion using Deep Learning and a Structure-Aware Temporal Bilateral Filter

Researchers at Tohoku University have proposed a novel approach to recapture 3-D motion data from a flexible magnetic flux sensor array, using deep learning...

Facebook AI Introduces ‘ReBeL’: An Algorithm That Generalizes The Paradigm Of Self-Play Reinforcement Learning And Search To Imperfect-Information Games

Most AI systems excel in generating specific responses to a particular problem. Today, AI can outperform humans in various fields. For AI to do...

Nvidia Proposes A Neural Talking-Head Video Synthesis AI Model, Making Video Conferencing 10x More Bandwidth Efficient

NVIDIA researchers introduce an AI system that generates a realistic talking-head video of a person using one source image and a driving video. The...

AlphaFold: DeepMind’s AI System With Major Breakthrough To Predict Protein-Folding

Google’s DeepMind introduces an AI system, AlphaFold, that can accurately predict how proteins fold into shapes. Proteins comprise strings of amino acids that are fundamental building...

Presenting adversarial.js Tool: An Interactive, In-Browser Demonstration Of Adversarial Attacks On Neural Networks

Kenny Song, a graduate student at the University of Tokyo, developed adversarial.js, an interactive tool that shows how adversarial attacks function using Tensorflow.js.   There has been...

Facebook AI Explores Automatic Differentiation System For The Kotlin Language

Differentiable programming enables programs to optimize themselves and is a part of Facebook AI’s broader efforts to build additional advanced machine learning programming tools....

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