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A virtual event hosted by the Stanford Institute for Human-Centered Artificial Intelligence (HAI) and the AI Initiative at The Future Society to officially announce a global alliance on the COVID-19 pandemic response.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
What does digital inclusion look like in the age of AI? Over 6,000 of the world’s 7,000-plus living languages remain digitally disadvantaged.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.
AI+Science: Accelerating Discovery is an interdisciplinary conference bringing together researchers across physics, mathematics, chemistry, biology, neuroscience, and more to examine how AI is reshaping scientific discovery. Experts will separate hype from reality, spotlighting where AI is already enabling genuine breakthroughs and where its limits and risks remain.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
While Large Language Models (LLMs) show promise in many domains, relying on them for direct policy generation in games often results in illegal moves and poor strategic play.
The alliance will provide an information service not yet available that is vitally important to facing and mitigating the crisis.
In parallel with the UN High Level Political Forum, the launch agenda will include details on the partnership and speakers from the private sector, academia, government, and multilateral institutions, including UNESCO, the World Bank, the WHO and UN Global Pulse, offering unique perspectives on the roadblocks and opportunities to addressing the COVID-19 pandemic. Topics covered will include challenges with disparate data and determining meaningful information in the fight against the virus, as well as the importance of building multi-stakeholder collaborations.