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.

Researchers From University of Geneva Introduce a New Machine Learning-Based Algorithm To Detect Autism In Children

Artificial intelligence is widely used in many sectors, including healthcare. The main goal of health-related AI applications is to investigate correlations between preventative or...

A New Google AI Research Study Discovers Anomalous Data Using Self Supervised Learning

Anomaly detection is one of the most common machine learning applications in various areas, from industrial defect identification to fraudulent financial detection.  One-class classification is...

Stanford Researchers Use Deep Learning To Predict Biological Structures, Like RNAs, More Accurately Than Ever Before

Determination of 3D structures of biological molecules, like RNA's, is difficult and often requires millions of dollars for such extensive efforts. Stanford University researchers...

AI Researchers Introduce A Graph Neural Network Estimator for ETA Prediction at Google Maps

Web mapping services like Google Maps are excellent tools for dynamically navigating portions of the Earth, especially in urban areas. These tools are not...

Researchers Introduce Single-Cell Architecture Surgery (scArches), A Deep Learning Strategy For Mapping Single-Cell Data to Reference Atlases

The Human Cell Atlas is the world’s largest single-cell reference atlas, and it’s still growing. It includes references to millions of cells from various...

NVIDIA’s Latest Speech Synthesis Research Makes AI Voices More Expressive And Realistic

Advanced AI models have transformed many natural language processing tasks. Speech synthesis is one such task that involves the artificial production of human speech. Synthesized voice...

Cerebras Announces the Release of World’s First Multi-Million Core AI Cluster Architecture

Artificial Neural Networks have provided promising solutions to problems we once thought impossible to address. Artificial Intelligence and Deep Learning models are widely used...

IBM Research Achieves Quantum Speed-Up in Supervised Machine Learning

Quantum Machine Learning techniques have become quite popular in recent years among many computer scientists and physicists investigating their potential.  Machine learning algorithms have achieved...

Researchers From Tokyo Tech Japan Introduce A Novel Sparse CNN (Convolutional Neural Networks) Processor Architecture That Enables Model Integration On Edge Devices

Convolutional neural networks (CNNs) are robust tools that use deep learning to perform generative and descriptive tasks such as image recognition. However, they require...

Google Researchers Use Different Design Decisions To Make Transformers Solve Compositional NLP Tasks

At present, advanced neural network architectures achieve state-of-the-art (SOTA) performance in many complex natural language processing (NLP) tasks. However, they struggle to capture the...

How DoorDash Uses Machine Learning ML And Optimization Models To Solve Dispatch Problem

DoorDash is a logistic platform that delivers millions of orders every day with the help of its DeepRed system. In their recent blog, Data...

MIT Researchers Employ Machine Learning To Discover New Sequences To Boost Drug Delivery In Cells Using Neural Networks

Machine learning has been widely used in finding efficient solutions in the healthcare sector to help in diagnosing and treating various illnesses.  Sarepta Therapeutics, located...