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 AI Introduces A Pull-Push Denoising Algorithm and Polyblur: A Deblurring Method That Eliminates Noise And Blur In Images

Despite the advances in imaging technology, image noise and restricted sharpness remain most critical factors for increasing the visual quality of an image. Noise...

NVIDIA Launches TensorRT 8 That Improves AI Inference Performance Making Conversational AI Smarter and More Interactive From Cloud to Edge

Artificial intelligence (AI) models are widely used in countless real-time applications, and their demand is exponentially increasing worldwide. This demands firms to employ state-of-the-art...

IBM Researchers Propose A Quantum Kernel Algorithm That, Given Only Classical Access To Data, Provides A Provable Exponential Speedup Over Classical Machine Learning Algorithms

Many quantum machine learning algorithms have been believed to provide exponential speed-ups over classical machine learning (ML) approaches, based on the assumption that classical...

Researchers From Berkeley Lab Introduce Self-Supervised Representation Learning For Astronomical Images

Sky surveys make it possible to catalog and analyze celestial objects without the need for lengthy observations, making them invaluable for exploring the universe....

Cornell and Harvard University Researchers Develops Correlation Convolutional Neural Networks (CCNN): To Determine Which Correlations Are Most Important

A team of researchers from Cornell and Harvard University introduces a novel approach to parse quantum matter and make crucial data distinctions. This proposed...

EventDrop, A Method To Augment Asynchronous Event Data And Limit The Adverse Effects Of Overfitting

Event sensors are bio-inspired devices that imitate the brain's efficient event-driven communication mechanisms. In contrast to conventional sensors, which capture the scene synchronously at...

A Novel Caltech Algorithm Allows Autonomous Systems Navigate Themselves By Referring The Surrounding Terrain, Summer or Winter

GPS systems were used predominantly in autonomous devices to guide them in their environment in recent years. But a recent study has introduced a...

NVIDIA Partners with Google Cloud To Establish AI-on-5G Innovation Lab, Speeding AI Deployment

In partnership with Google Cloud, NVIDIA is establishing the first AI-on-5G Innovation Lab. This will support network infrastructure players and AI software partners to...

Facebook AI’s New Compositional Framework Can Generalize Attribute-Object Pairs To Unseen Combinations

One of the crucial ways to make it easier for customers to shop online today is to improve product recognition. People could one day...

EBRAINS Researchers Introduce A Robot Whose Internal Workings Mimic Human Brain

The human brain contains between 100 million and 100 billion neurons that process information from the senses and body and send messages back to...

AI Researchers Including Yoshua Bengio, Introduce A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

Human consciousness is an exceptional ability that enables us to generalize or adapt well to new situations and learn skills or new concepts efficiently....

Researchers From Technische Universität Berlin and the University Clinic of Freiburg Propose a New Modular System for Evaluating Robots and Humans Posture Control and...

Significant advancement in robotics in recent years has led to the development of remarkable robots with human-like capabilities, including humanoid robots, whose bodies structurally...