Mfikeyi Makayi

I was born and raised in Zambia, a country known for its rich copperbinding history. Alignment of the stars meant that by birth and by science I became a miner. Everything we build and use was either grown or mined. From the walls to the windows, the tables and the chairs, your phones, your computers, the stage, my copper earrings and maybe your jewelry.

Joten tänään, kun puhumme rakentamisesta, tarkoitatemme, että meidän täytyy elektrifioida kaiken. Meidän ekonomiamme on autoja, rukoilijoita, robotteja, dronioita ja sotilaita, joita on käsittämätöntä. Meidän lapsemme tarvitsevat koneita kaikissa kouluissa, joilla on yhteiskunta, ja meillä on datacenterejä, joilla on edelleen avautuneita chipsiä, jotka tuovat meiltä tietoa. Kaikki ne ovat käsittämätöntä, jotka on käsittämätöntä, joita on käsittämätöntä.

Suomessa tarvitaan rauhallisia materiaaleja, joita voidaan rauhoittaa, jotta voimme tulla kylmällä ja rauhallisella. Se tarkoittaa paljon enemmän litiumia, karpaa, kolbolta, nikkoa ja muuta. Meidän täytyy rakentaa enemmän kuin 400 uusia rauhaa vuodesta 2040, jotta voimme tulla rauhallisella. Mutta ennen kuin voit rakentaa rauhaa, sinun täytyy löytää rauhallisia materiaaleja. Tämä asia on se, että tänään rauhallisuusjärjestöt tekevät liian vähän, jotta voimme edistää elämyksemme.

In other industries that rely on discovery for growth, like pharmaceuticals and technology, for every dollar they return to shareholders, they spend about a dollar in R&D. In mining, however, for every dollar returned to shareholders, less than a penny is spent in exploration. With such underinvestment, it shouldn't surprise you that the technology used in exploration and mining has barely advanced.

In fact, we've gotten ten times worse in the last 30 years at making ore body discoveries. But there's good news. The vast majority of ore deposits are still out there waiting to be found. They're just harder to find. Of all the past mines we know of, they were easy because they were poking out of the surface and they were near the surface. So we need to look deeper. Controversially, we've been taught that these materials will run out.

We don't lack oral body deposits. We lack information of where they lie. So if you had a crystal ball, you'd just look into it and start digging out the rocks that are the best and generate the least waste. But we don't have a crystal ball. So the thing that we should do is make predictions of where these materials lie. My colleagues and I at Kobold are doing what the industry has neglected to do. We aim to predict everything,

quantify what we don't know and collect information efficiently. So we're all going to try that right now. I'd want you to predict a thousand meters below your feet what the concentration of copper is right where you're sitting. I want you to predict how hard it is, how fractured it is, what's its density. We aim to predict all these things and more.

Olemme kehittämällä koulutus- ja oppimisen teknologioita, jotka auttavat meidät käsittelemään kaikkea, ja käsittelemään rikollisemmin olemme epäonnistuneita näiden käsittelemästämme. Mitä tämä näyttää käytännössä? Kun käsittelemme sääntöjä, yleensä menemme aikoihin, kymmeniä kilometrejä maailmasta ylös, yrittäen saada tietoa, kuten maailman magnaattisuus, sen gravitaatio, joka kertoo meiltä jotain rikkojen takana. Mutta on ongelma.

Kaikkiin, joita katsomme, tulee olemaan ilmanlaajuisia mahdollisuuksia, ja se on siksi, että rakennamme kolmannenlaajuisia modelleja, jotka sopivat kolmannenlaajuisille tietoille. Joten jos elämä oli pienempi ja läheisempi ympäristöstä tai isompi ja myöhemmin läheisempi, määritys olisi sama.

Tämä onnistuva yritys käsittelee tämän ongelman välttämällä sitä. He valitsevat yhden mahdollisen vastauksen ja sopivat, että toiset eivät ole olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet olleet o

We do this 10,000 times faster by training an AI to learn the relevant physics of the rock beneath in the time it takes the conventional method to test one. That means we collect better data, we make better predictions of where to look next,

Joten jos sinulla oli rauhapuoli, ja rauhapuoli, joka on suurempi kuin materiaali, sinä voisit mennä keskellä sitä. Mutta jos sinulla on kymmeniä kymmeniä mahdollisia ratkaisuja, parin asia, jota voit tehdä, on saada tietoja, joissa olet suurin piirtein epäonnistunut, ja vahvistaa mahdollisimman monia mahdollisuuksia. Tämä vahvistaa tietoja, joita saamme kaikkien dollarien mukaan. Ja teemme tätä jatkuvasti, jotta voimme määrittää epäonnistumme.

Even after we've made an ore body discovery, we still have to contend with this uncertainty. We have to define the size and shape of this ore body. Let me illustrate how difficult this is. So now, a thousand meters below your feet, you drilled, you sampled the rock, and you determined that it has five percent copper. So now you know, you've got your data point and your observation. Now I ask you to make a prediction of the concentration of copper of the person sitting next to you.

What would your prediction be and how confident would you be in your prediction? What about across the room? Think of any person across this room and try to predict a thousand meters below them. What about in the next building or the next city? This is the vast challenge that we face. We've only sampled a tiny fraction of rock, collected several football fields apart from each other, for which we're trying to make predictions of all the rock properties in between.

This technology has helped us move fast in Zambia, where I come from, to design and develop a mine based on our predictions for which we've only sampled a tiny fraction of rock. Once again, there are many possibilities, all consistent with the data. Some with a lot more metal, some with less, and the difference is a measure of uncertainties. This enables us to know where we should collect information next, where we should drill the next hole, and when we can stop drilling and actually start building a mine.

To build the mind of the future, we continue to contend with this uncertainty. The industry designs an entire mind based on a single model.

We're developing KoboMine, a mine design optimization tool that looks at the many possible mine designs against the many possible ore body geometries that we talked about earlier. This enables the best decisions about how much ore we're going to mine, how much waste we're going to produce, how much water we'll use, the cash flows and so on. This enables the best mine planning decisions about where to put permanent infrastructure like a shaft.

where the traffic and the tunnels will be placed so we can make efficient decisions, and also how we can maximize the ore and the metal we get and minimize the waste. This technology will move into mine operations to help guide day-to-day decisions for efficiencies. Better predictions don't just mean profitability. It means a safer mine, knowing where the rocks are weaker.

It means an environmentally sustainable mine, so we can lessen our impact on the environment. And it also means a resilient mine with cash flows to support local communities and businesses through different commodity pricing cycles. Our Mingamba project in Zambia will be the mine of the future. It's being designed and developed by amazing talent from around the world, including Zambians and Africans like myself.

We face the reality that our need for these materials will continue to grow because our lifestyles are going to advance and they're going to demand for it. So the mining industry must ensure they transform so we can become responsible miners and build better mines with better technology. Asante and thank you.