Dr. Qichao Hu

An AI agent can process several tens of thousands of papers a day and then has perfect memory of all the content.

So that can be reduced from a month to on the order of minutes.

Instead of human scientists, you have what's called ALAB, autonomous lab.

It's basically a high throughput robot that will do 5,000 formulations in one morning.

When you give that to an AI model, it will give you about a thousand parameters.

We can't really interpret them.

It's like a different language, not meant for us human species to understand, but it works.

A lot.

I mean, I think if you look at batteries, it's everywhere, but then it's a simple device, but then it's quite often the simple device that's actually most complicated, especially if you're actually trying to change it.

So I would say 10 years ago, the problem that we tried to solve was a better type of battery, a new material for the battery.

And then that's evolved to trying to come up with a new way to come up with new materials.

Yeah, yeah, yeah.

So if you look at dispatcher applications, some applications you need to have

higher energy density basically make the batteries lighter and in some applications you need to make it cheaper in some you have to make it last longer and then each one takes about 10 years so if you follow the traditional path and then it will basically take you about a decade to solve each of these battery materials problems and that's not a very

Why does it take so long?

So there's a couple of things in the battery and it's similar in life science, in drug discovery.

When you have a new material discovery, you go through several phases, right?

Basically, first you go through this idea creation phase.

Like you have to have an idea.

You come up with an idea for this new type of materials.