AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a ...

Machine learning (ML), a subset of AI, has the capacity to address technical limitations that traditional diagnostic methods ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

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

We’ve all heard the horror stories. A job seeker spends hours tailoring his resume, finally hits “submit,” and within seconds ...

Magnetic sensors quietly underpin everything from smartphone compasses to the stability systems that keep electric vehicles ...

In the last 10 years or so, social media has largely evolved into a “digital playground”, with children dominating the space through consumption, creation, and sharing. While it may be uplifting to ...

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

Fintech is technology in finance. By “technology” today, I mean artificial intelligence. Artificial intelligence is ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, ...

Artificial intelligence has rapidly evolved from an experimental toolkit into a fundamental security pillar for modern ...

Critical illness poses a significant global health challenge, disproportionately affecting low- and middle-income countries (LMICs) and other low-resource settings, where healthcare resources and ...