Ruth Porat

The second is just the economic uplift that's been estimated to be in the trillions globally. The third is really advancing solutions around some of the biggest social issues facing humanity around education, healthcare, climate. And the fourth is really enhancing cybersecurity. And two examples may best help get at your question.

The second is just the economic uplift that's been estimated to be in the trillions globally. The third is really advancing solutions around some of the biggest social issues facing humanity around education, healthcare, climate. And the fourth is really enhancing cybersecurity. And two examples may best help get at your question.

You know, at Google, one of the many things I'm proud of is what we've done with Google Translate. And over the last 20 years, our teams have been working to expand the number of languages included within Google Translate. They're now 260 languages. In the last six months alone, the team added 110 of that 260. In other words, it's been a vertical lift.

You know, at Google, one of the many things I'm proud of is what we've done with Google Translate. And over the last 20 years, our teams have been working to expand the number of languages included within Google Translate. They're now 260 languages. In the last six months alone, the team added 110 of that 260. In other words, it's been a vertical lift.

You know, at Google, one of the many things I'm proud of is what we've done with Google Translate. And over the last 20 years, our teams have been working to expand the number of languages included within Google Translate. They're now 260 languages. In the last six months alone, the team added 110 of that 260. In other words, it's been a vertical lift.

We added 500 million people on the planet can now access information in their own language. But that vertical lift is important because if you're not at the front end of change, how do you catch up when something's under a vertical lift? The second, which starts to get even more closely to your question, is really the work that was done by Google DeepMind to deliver something called Alpha Folds.

We added 500 million people on the planet can now access information in their own language. But that vertical lift is important because if you're not at the front end of change, how do you catch up when something's under a vertical lift? The second, which starts to get even more closely to your question, is really the work that was done by Google DeepMind to deliver something called Alpha Folds.

We added 500 million people on the planet can now access information in their own language. But that vertical lift is important because if you're not at the front end of change, how do you catch up when something's under a vertical lift? The second, which starts to get even more closely to your question, is really the work that was done by Google DeepMind to deliver something called Alpha Folds.

And I'm so proud of my colleagues, Demis Hassabis and John Jumper, who were awarded the Nobel Prize for AlphaFold. What AlphaFold does is it predicts protein structures. They went on a path to predict the protein structure for all proteins. So they have now predicted for more than 200 million proteins.

And I'm so proud of my colleagues, Demis Hassabis and John Jumper, who were awarded the Nobel Prize for AlphaFold. What AlphaFold does is it predicts protein structures. They went on a path to predict the protein structure for all proteins. So they have now predicted for more than 200 million proteins.

And I'm so proud of my colleagues, Demis Hassabis and John Jumper, who were awarded the Nobel Prize for AlphaFold. What AlphaFold does is it predicts protein structures. They went on a path to predict the protein structure for all proteins. So they have now predicted for more than 200 million proteins.

What's important about that is that it is being described as the single greatest contribution to drug discovery in our lifetime. And without AI applied to predicting protein structures, we're talking about millions of scientists' years to try and reach this. In other words, not in our lifetime.

What's important about that is that it is being described as the single greatest contribution to drug discovery in our lifetime. And without AI applied to predicting protein structures, we're talking about millions of scientists' years to try and reach this. In other words, not in our lifetime.

What's important about that is that it is being described as the single greatest contribution to drug discovery in our lifetime. And without AI applied to predicting protein structures, we're talking about millions of scientists' years to try and reach this. In other words, not in our lifetime.

And to me, what is so profound about this is the way Demis Asavas thought about it when he embarked on the journey. And so many people said to him, how can this be possible? And his answer was, why not?

And to me, what is so profound about this is the way Demis Asavas thought about it when he embarked on the journey. And so many people said to him, how can this be possible? And his answer was, why not?

And to me, what is so profound about this is the way Demis Asavas thought about it when he embarked on the journey. And so many people said to him, how can this be possible? And his answer was, why not?

And I think the importance with AI, and it starts to get to your question more directly, is each one of us needs to radically rethink what is in the art of the possible, just as he did with AlphaFold. And that's true with how do you connect with customers? What's operating efficiency? What are risk analytics? How does a public sector leader better communicate with constituents?

And I think the importance with AI, and it starts to get to your question more directly, is each one of us needs to radically rethink what is in the art of the possible, just as he did with AlphaFold. And that's true with how do you connect with customers? What's operating efficiency? What are risk analytics? How does a public sector leader better communicate with constituents?

And I think the importance with AI, and it starts to get to your question more directly, is each one of us needs to radically rethink what is in the art of the possible, just as he did with AlphaFold. And that's true with how do you connect with customers? What's operating efficiency? What are risk analytics? How does a public sector leader better communicate with constituents?