Rhymes & Ripples Taiwo O. Adetiloye

To search within must encompass our seeing things from not just who we are or perceive ourselves to be based on a nurtured egocentricity but how we want others to perceive us without making any conjecture; unequivocally, looking at things from others' viewpoint rather than being myopic and making extreme judgments of people we relate with.

The facts remain that the human race is highly connected in unimaginable, complex dimensions linked by the (common) air we breathe, the ground we walk, the place we work, the friends we have …

Excerpt from: Taiwo O. Adetiloye(2019). Finding a Holistic Approach to Students’ Academic and Social Well Being

Students’ holistic growth and well-being are linked to several factors, which can be in three main categories: the right supervision in teaching, research, and development; financial stability, and participation in social activities...

The future for AI is promising regardless of the drawbacks encountered by its enthusiasts. We have seen self-driving cars, the world’s first humanoid robot, Sophia, that can converse with humans, the humanoid waiters that go around tables serving meals in restaurants, and those that assist with goods handling, among many other great examples. However, we should be worried that AI would lead to job losses in some sectors that require active human labour while creating more IT job opportunities. Well, as the proverbial saying goes, “to be forewarned is to be forearmed”; hence, acquiring IT skills and experience sufficient to survive the next wave of AI evolution might be worthwhile for all and sundry, including but not limited to the nextgen.

One of the hardest decisions in life is deciding whether to walk away or stay and try even harder.

This whitepaper proposes the design and development of a Mobility as a Service (MaaS) traffic prediction application using machine learning. It will allow users to input a region and receive traffic information about major roads and highways in the region. For each major road, a machine learning(ML) algorithm is applied to live images of the road and returns the image information and the level of congestion (low, medium, or high).