Electrical engineering

He is the Alan Howard Distinguished Professor in Artificial Intelligence.

He's also Professor of Electrical Engineering and Director for the Centre of AI and Robotics at New York University, Abu Dhabi.

I can't think of anyone more qualified to talk about this topic.

Anthony, thank you very much for your time.

But thank you very much indeed for that incredible lens into the world of robotics right now.

Anthony Tez is the Alan Howard Distinguished Professor in Artificial Intelligence.

He's also Professor of Electrical Engineering at and director for the Center of AI and Robotics at New York University, Abu Dhabi.

I would love to get your reaction to what Anthony just said, because I, for one, am scared for my life.

So my route into this was actually rather indirect.

I started with a Bachelor of Science and then an MSC in Electrical Engineering at Polytechnic University of Bucharest.

And I think what attracted me to signal processing was that it was probably the most mathematical and theoretical part of electrical engineering.

My father was actually a math teacher, so perhaps there was a little bit of genetics involved there.

Then after a short period working in industry, I decided to do a PhD.

Just talk to us about your construction journey today, how you got into the industry and what you're doing today.

uh so my background uh yeah i started off with uh i served an apprenticeship electrical engineering apprenticeship mainly in industrial setting so i carried out um like various installation and maintenance duties on uh electrical and instrumentation equipment and then following that yeah kind of came my my world into construction and quantity surveying And why did you want to become a QS? Talk to us about that.

It just kind of happened by chance, really.

Like back in the early days, I never really knew what a QS was.

And the mission of today's deep dive is to explore how we might actually break through that wall.

We are looking at a 2025 paper published in Nature Review's Electrical Engineering.

Right.

It's a huge collaboration.

But first, let's meet our special guest, Robert Malkin.

Dr. Robert Malcolm received his BS in electrical engineering from the University of Michigan and his MS and PhD in electrical engineering from Duke University.

He is a professor of the practice of biomedical engineering and global health emeritus at Duke University.

He is also the founder and executive director of the International Research Institute of North Carolina, which provides STEM remote research opportunities to students around the world with the goal of empowering young minds that can potentially advance human knowledge, especially through their peer-reviewed journal publications.

But apart from CSE, what do you think, which engineering branches do you believe have strong future opportunities? Personally, I

know about Maths and Computing and Electrical Engineering.

Those branches have pretty strong opportunities.

Hi, guys.

Yes.

So apart from CSE, if we talk about 2026, which engineering branches do you believe have a strong future opportunities which they should often overlook?

Personally, I know about maths and computing and electrical engineering.

Those are pretty strong opportunities.

But if I could just go right back to the beginning, Jan.

You completed a Master's in Electrical Engineering at KV Levin in Belgium.

But what sparked your early interest in engineering?

In my case, I have no engineering in my family.

His research develops the theory of deep learning and its applications to neuroscience and psychology, including exact analytical solutions for learning dynamics in deep linear networks and a mathematical theory of semantic development.

Links Lab Google Scholar Profile Benjamin Van Roy is Professor of Electrical Engineering, of Management Science and Engineering, and, by courtesy, of Computer Science at Stanford University.

Founder and lead of the Efficient Agent team at Google DeepMind.

His research focuses on reinforcement learning and alignment, with interests including information-theoretic foundations for machine learning, efficient exploration, continual learning, and mathematical models of misalignment risk.

How could solid particle go through this solid wire, tiny thin solid wire, at almost speed of light? Doesn't that make sense to me? And that's actually the trigger, part of the trigger for me to pursue.

So what is life? And it prevented me, actually, that dissuaded me at the time, I'm not going to go to electrical engineering.

My dad wanted me to study electrical engineering.

At that time, computer started to go up, right, in electrical engineering.

I told myself, it just never made sense to me.

And another thing, I believe, Mike, you implied that one, is atomic model.