... Solving real-world problems with easy-to-use apps

In the past, to leverage powerful brain-based technologies, we’d need experts with PhDs in machine learning and several years of research, but nowadays, we can utilise easy-touse app packages or APIs that allow us to quickly throw together useful real-world applications, and solve real-world problems.

Crucially, brain-inspired software works similarly to children’s brains; for years we tell the child this is a cat or this is a dog, and after a few years of experience, the child can identify things without parents’ guidance – without being told correct labels. (So the child experiences data in the form of images seen by the eye, and correctly labelled images in the form of guidance from parents).

Similarly, brain-inspired software requires experience or correctly labelled data, after which they may learn to classify unlabelled things (give them labels) accurately after exposure to correctly labelled data.

So these learning models require data and computer power (hardware), and data sets and computer resources are available on platforms for free such as Kaggle.

In a similar way, Jamaican farmers could compose setups that alleviate sorting tasks. Many other applications exist, in healthcare, and reasonably any sector involving thinking (which is all sectors) can be augmented by machine learning.