Dive in and find out how the evolution of AI tasks, neural networks, advanced research, and applications are paving the path to a stronger artificial intelligence (AI) – even as some challenges envelope this road.
It takes not just one blow, but many, for a bat to become a Batman. And it all boils down to the tasks they do.
In the wise and penetrative words of Alan Perlis, “A year spent in artificial intelligence is enough to make one believe in God.” Let’s raise a toast to Alan and chat more about artificial intelligence (AI) in the same vein. AI looks like a miracle. And it’s a miracle created by humans – to a large extent. That’s why AI is becoming as powerful and mysterious as a Batman. It has so many shades, and it can fly to unimaginable heights. If we could look at some initial encounters, that should be enough to make us utter a big ‘Wow’.
“Any sufficiently advanced technology is indistinguishable from magic.” – Arthur Clarke
When we think of artificial intelligence (AI), we think of machines, computer systems, algorithms, and models trying to get closer to human intelligence. Today, this space straddles many areas, like natural speech recognition, expert systems, machine learning, general AI applications, and more. The future, however, is mapped towards singularity: