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The latest research from Google

Improving simulations of clouds and their effects on climate

Today’s climate models successfully capture broad global warming trends. However, because of uncertainties about processes that are small in scale yet globally important, such as clouds and ocean turbulence, these models’ predictions of upcoming climate changes are not very accurate in detail. For example, predictions of the time by which the global mean surface temperature of Earth will have warmed 2℃, relative to preindustrial times, vary by 40–50 years (a full human generation) among today’s models. As a result, we do not have the accurate and geographically granular predictions we need to plan resilient infrastructure, adapt supply chains to climate disruption, and assess the risks of climate-related hazards to vulnerable communities.

Open sourcing Project Guideline: A platform for computer vision accessibility technology

Emerging practices for Society-Centered AI

Responsible AI at Google Research: Adversarial testing for generative AI safety

Scaling multimodal understanding to long videos

Enabling large-scale health studies for the research community

Responsible AI at Google Research: Context in AI Research (CAIR)

Overcoming leakage on error-corrected quantum processors

Alternating updates for efficient transformers

Best of both worlds: Achieving scalability and quality in text clustering

Zero-shot adaptive prompting of large language models