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

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

Data and algorithms are how AI learns, that is different from the way humans learn. Human beings learn using their experience, emotional responses and comprehension, which indicate starkly different ...

Artificial intelligence is inescapable nowadays. There’s generative AI to create an ad and AI platforms to manage campaigns. Your refrigerator and maybe even your toothbrush have AI embedded in them.

How do humans manage to adapt to completely new situations and why do machines so often struggle with this? This central question is explored by researchers from cognitive science and artificial ...

A new connection between human and machine learning has been discovered: While conceptual regions in human cognition for long have been modelled as convex regions, Tetkova et al. present new evidence ...

Source: ChatGPT modified by NostaLab. In my earlier post on parallax cognition, I proposed that depth in thinking comes from contrast, not convergence. When two distinct perspectives—human and ...

For three decades, the web has been designed with one audience in mind: People. Pages are optimized for human eyes, clicks and intuition. But as AI-driven agents begin to browse on our behalf, the ...

Machine learning and deep learning are both parts of artificial intelligence, but they work in different ways — like a smart student versus a super-specialised ...