THE 360°AI BLOG

Weak AI, strong AI, superintelligence, the terminology keeps expanding as AI matures. This piece breaks down the three real stages of AI: Narrow AI (ANI), already embedded in your streaming apps; General AI (AGI), the hypothetical human-equivalent system some believe GPT-5 is edging toward; and Super AI (ASI), the still-fictional tier that could one day surpass human intelligence. We also unpack the two competing visions for AI's future, existential risk versus radical life e

Deep learning is the engine behind the most capable AI systems today, from medical diagnostics to self-driving vehicles. By stacking artificial neural networks that mirror the structure of the human brain, it enables AI to learn from massive datasets. This guide breaks down its core principles, maps real-world applications across healthcare or transportation, and outlines the key trade-offs between raw performance and energy cost, plus where the next generation of deep learni

Behind ChatGPT, facial recognition, and autonomous vehicles lie artificial neural networks, inspired by the brain but grounded in advanced mathematics. They learn from data to recognise, predict, and generate. From their origins in 1943 to the deep learning revolution of 2012, this article unpacks how they work, their real-world applications, and their ethical and environmental limits.

For AI to be effective, it needs to learn to grow. There are three main types of learning used to train artificial intelligence. Understanding how AI learning works provides a better understanding of how these computer programs, which are increasingly present in our lives, function.