Autonomous Vehicles




Science for self-driving vehicles based on what it means to be human


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

In spite of significant effort and achievements, self-driving cars remain a challenge in practice. Limited trials of vehicles running along predetermined, hyper-limited routes abound, and face significant hurdles.

Much innovation and work remains to support a complex environment filled with and built by and planned by humans.

Machine Learning X Doing Autonomous Vehicles is an approach that integrates the human condition into autonomous vehicles and initiatives

What we need is AI based on what it means to be human

Next-level AI

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 blaze a new path

Be you. Sustain and improve your innovation

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.