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.

NVIDIA Releases Jetson AGX Xavier Industrial Module, Engineered to Bring AI to Harsh, Safety-Critical Environments

In recent years, a wide range of industries such as manufacturing, agriculture, construction, energy are adopting robotics and automation technologies for multiple tasks, including...

Google AI Introduces ByT5: Pre-Trained Byte-to-Byte Models for NLP Tasks

Google researcher’s new study suggests modifying the conventional transformer architecture to process byte sequences in natural language processing (NLP). The new competitive byte-level models...

Cornell University and NTT Research Introduce Physical Neural Networks (PNNs): A Universal Framework that Leverages a Backpropagation Algorithm for Arbitrary Physical Systems

DNNs (Deep neural networks) have proven to be of great use in solving various complex problems in image and speech recognition and NLP. DDNs...

NVIDIA Base Command Platform Allows Enterprises To Move Their AI Projects From Prototypes to Production Promptly

Recently, NVIDIA launched its “NVIDIA Base Command,” a comprehensive platform that manages the end-to-end lifecycle of AI development and reporting dashboards. It is a...

Google’s Multitask Unified Model (MUM) Transforms How Google AI Understands Complex Queries

Google launches a Multitask Unified Model (MUM) that offers expert-like answers to user’s questions with fewer queries to complex tasks. With google search, one...

Adobe Researchers Propose Directional GAN (DGAN): A Novel Conditioning Strategy for Generative Networks

Image content is an integral part of marketing campaigns, websites, banners. Designers use tools like Adobe Photoshop to get the desired and compelling marketing...

MIT and IBM Researchers Propose an AI Method for Finding and Fixing Weaknesses In Automated Programming Tools

With the development of software and its varied usage, Software developers are now in huge demand. This scenario is demanding to automate some of...

A New Google Research Introduces FNet By Replacing Self-Attention Sublayers With Simple Linear Transformations Achieving 92% Accuracy and Runs Up To Seven Times Faster...

The Transformer architecture is widely adopted in performing Natural Language Processing (NLP) tasks. The Transformer’s self-attention mechanism connects each token in the input through...

Researchers from ETH Zurich Propose a Novel Robotic Systems Capable of Self-Improving Semantic Perception

Mobile robots are generally deployed in highly unstructured environments. They need to not only understand the various aspects of their environment but should also...

Google AI Introduces ‘ALIGN’ to Scale Up Visual and Vision-Language Representation Learning with Noisy Text Supervision

Excellent visual and vision-language representations are crucial in solving computer vision problems such as image retrieval, image classification, video understanding. That is why visual...

Using TensorFlow To Reconstruct Thousands of Particles in One Attempt at The CERN LHC (Large Hadron Collider)

Highly energetic particle beams, when collided at large colliders such as the CERN LHC (Large Hadron Collider), create massive and possibly many unknown particles...

Researchers at JAIST, the Japan Advanced Institute of Science and Technology, Have Proposed a Model that Allows Voices to Mimic and Control the Generated...

Voice Conversion (VC) method used to modify the speaker's identity without altering the linguistic content. Non-linguistic information is vital for having natural (human-to-human) communication....