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Tracking movement of Mosquitos using Machine Learning

Researchers have now used machine-learning approach to track disease-carrying mosquitoes. As per a release by Utah State University, a team studied landscape connectivity in...

Role of a Machine Learning Engineer

Machine learning seems to be picking up steam as one of the buzzwords to look out for this decade. Among the U.S. and Japan-based I.T....

Machine learning a new journey for Data Scientists

As the need for machine learning increases, data scientists are on the spree to become experts in the technology The concept of machine learning and the increasing demand...

ML Models now in your Pocket

New EPFL/INRIA research shows for the first time that it is possible for our mobile devices to conduct machine learning as part of a...

New ML Theory Raises Questions On Nature Of Science

A novel computer algorithm, or set of rules, that accurately predicts the orbits of planets in the solar system could be adapted to better...

A Language Learning System that pays Attention

Human language can be inefficient. Some words are vital. Others, expendable. Reread the first sentence of this story. Just two words, “language” and “inefficient,” convey...

ML Development is a Marathon and not a Sprint

For machine learning to create the most value, it is essential to consider ML as a marathon and not a sprint. Today, businesses are increasingly...

Diagnosing psychosis and depression with Machine Learning

A way of using machine learning to more accurately identify patients with a mix of psychotic and depressive symptoms has been developed by researchers...

AI & ML are the new Psychologist

According to a WHO prediction, by 2020, roughly 20% of India will suffer from some mental illness and 450 million people currently suffer from...

Machine Learning Boosts Defense Against Cyber Attacks

A machine learning algorithm may give organizations a powerful and cost-effective tool for defending against attacks on vulnerable computer networks and cyber-infrastructure, often called...

Estimating number of COVID-19 cases through ML algorithm

World health experts have long suspected that the incidence of COVID-19 has been higher than reported. Now, a machine-learning algorithm developed at UT Southwestern...

Creating Interpretability for Deep Neural Networks

Concept whitening has been introduced to elaborate the inner functionalities of deep neural network Over the past few decades, deep neural network has achieved unprecedented...
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