Autonomous Vehicles


Machine Learning X Doing Autonomous Vehicles for a new vision of autonomobiles

Self-driving cars remain a challenge in practice. Limited trials of vehicles running with no drivers along predetermined, hyper-limited routes abound, operated by their makers and technology companies. However, much work remains in a more complex world

Machine Learning X Doing Autonomous Vehicles is an approach that brings what it means to be human into self-driving campaigns: a true revolution

You set the standard for everyone else. By not allowing the box to define you, you’ve become the box for others. They might not admit it, but the industry is depending on you.

As you’ve grown however, it’s naturally a little harder to keep doing what has never been done. Standard algorithmic approaches have a role to play, but these are only taking you so far. The stakes are high. Errors can be costly over time. The world is changing. What if next-level AI could take you further than you ever imagined?

Welcome to your next level. Welcome to the future of your industry

How can innovation evolve in a way that takes self-driving cars to the next level?

Feed your progress with evidence. Get out of the traffic of technological skepticism and let the pedal hit the medal for real

Be you. Sustain and improve your innovation for impact over the long run

It is up to us all to make the world a better place, starting with your vehicle autonomy

Introducing the next-generation of AI, designed around the fundamental question of what it means to be human

Together, we will inspire change in the world, by first introducing your organization to its true potential



Kweku Opoku-Agyemang, Ph.D.

Kweku Opoku-Agyemang, Ph.D., is former faculty at the University of California, Berkeley in development economics, former computer science researcher at Cornell University and visiting scholar at UC Berkeley Mechanical Engineering. He has advised Google scientists, given talks at Facebook, presented to government officials from 12 countries and others.

A former session Chair at the Canadian Economic Association, Kweku believes that his next-generation Machine Learning X Doing approach can help organizations and countries to do better by their people by meeting or exceeding their potential and taking their culture to its real potential. He is based in Toronto, Canada.