Johan Swanepoel/123RF

The AI Influencer Series Part 2: Vincent Boucher

  • 20 March 2018
  • Expert Insights

This post is part of our new AI Influencer series where we interview the world's leading legal experts to get their take on the state of the industry, the top trends to watch for, and what the future holds.

The following is an interview we recently had with Vincent Boucher, B. Sc. Theoretical Physics, M. A. Government Policy Analysis, M. Sc. Aerospace Engineering and President and Founding Chairman of Montréal.AI.

1. What are the top trends you have noticed in AI?

VB: Deep learning brings a fundamental shift in programming: differentiable programming with end-to-end differentiable architectures.

The top emerging and powerful trends I’m noticing in AI are:

a) Meta-Learning

A first potentially transformative trend at the bleeding edge of AI is to use an autonomous agent to design end-to-end differentiable auto-tuned architectures (from a set of differentiable constructs, such as CNN, LSTM, GAN, memory units, routing units, etc.) to orchestrate meta-solutions.

b) Self Play

A second trend is that algorithms design is now more important than big data and massive amounts of computational power.

“People tend to assume that machine learning is all about big data and massive amounts of computation but actually what we saw with AlphaGo Zero is that algorithms matter much more” – David Silver

c) Quantum AI

A third trend is to use deep learning to solve quantum challenges.

“Give me a two-layer DBM and I can move the (quantum) world” – Giuseppe Carleo

2. What applications for AI make it a game changer in the tech sphere?

VB: Applications bringing together multiple industries with AI tend to be the most disruptive.

For example, OpenAI combined AI with Robotics and VR to develop “Robots that Learn”.

3. What is, in your opinion, the industry in which AI has the greatest disruptive impact?

VB: Manufacturing.

4. Would you say that the AI industry is evolving as rapidly as you anticipated, less rapidly, or about as expected? What makes you say this?

VB: Exactly as expected.

Until the past few years, computers were simply not capable enough to train deep neural networks to achieve state-of-the-art results. Now, with the deployment of AI in the fields of 3D Printing, Autonomous Robots, Blockchain, Cloud Computing, IoT and VR/AR/MR, I expect the growth to start to be exponential as those developments get compounded together.

5. What do you see as the most difficult-to-overcome limitations for AI?

VB: There's nothing holding AI back presently.

Discussions to shape the landscape of global policies at the intersection of AI, ethics, and governance are important.

6. What’s the future of AI? 

VB: In the short (months) term:

Vertical AI startups will most probably convert AI research into commercial (3D Printing, Autonomous Robots, Blockchain, Cloud Computing, IoT and VR/AR/MR) applications.

In the long term (years):

A superhuman autonomous multi-agent swarm AGI could deliver revolutionary meta-business models that apply AI in ways never thought of… and create the economy of things.

About Vincent Boucher

In 1996, Vincent Boucher completed a B. Sc. Theoretical Physics in 1 year, followed by a Master's degree in Government Policy Analysis [1998] and a Master's degree in Aerospace Engineering (Space Technology) [2000]. From 2000 to 2002, he provided management consulting services for the Canadian Space Agency.

In 2003, Vincent Boucher founded Montreal.AI (Montreal AI-first conglomerate) to pioneer a new world age of breakthroughs applying AI in ways never thought of. Under the Montréal.AI umbrella, multiple companies are being structured including an Academy to train the individuals who, with AI, will shape the 21st Century.

*Montréal.AI is the largest artificial intelligence community in Canada (join us at

About Expert Insights