We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

A team of Germany-based researchers recently unveiled GlobalBuildingAtlas, which is likely the most detailed 3D map of buildings ever developed. Introduced earlier this month, the database ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

Network automation is becoming a must-have for enterprises as networks get more complex and AI projects multiply. Traditional ...

Unlike other industries, healthcare generates not only numerical and categorical data but also large volumes of unstructured ...

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

By utilizing artificial intelligence (AI) and cloud computing, smart cybersecurity systems are helping to bolster the utility ...

Machine learning, AI, automation and and prediction are rapidly evolving the digital landscape. Can digital twins be the ...

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...

Olga Megorskaya, founder and CEO of Toloka, has led the company since 2020, steering it from its original crowd-labeling roots into a major player in AI data services. Before founding and leading ...

Materials informatics combines data analytics and engineering design, streamlining material development and enhancing ...