Tech leaders discuss use cases on how AI can expand human capabilities rather than undermine them at MIT Technology Review's annual AI conference
This is AI generated summarization, which may have errors. For context, always refer to the full article.Screenshot from MIT Technology Review videoTech leaders discuss use cases on how AI can expand human capabilities rather than undermine them at MIT Technology Review's annual AI conference
Tech leaders and researchers try to answer that question in a session tackling how to best use generative AI technology, held on Wednesday, May 22, at EmTech Digital, MIT Technology Review’s annual AI conference. In contrast to that, AI can also diminish the concept by reducing the ability for our diverse communities to make key decisions for themselves for shaping their lives and achieving purpose and meaning.
Asu Ozdaglar explains how humanity is at a junction where AI could either pave a path for human flourishing or hinder it, speaking at the EmTech Digital Conference, May 22, 2024Kari Ann Briski, VP of AI models, software, and services at silicon giant Nvidia, discussed in the same session how AI can be an invaluable tool in biotech, specifically in drug discovery.
Briski adds that generative models can also help revolutionize weather forecasting. Current weather forecasting AI models can accurately predict the track of storms at a 25 km resolution. But by combining the speed and accuracy of such a model with that of a generative AI model, we can explore regional weather forecasts at a much larger scale to provide a clear picture of the impacts of storms.
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