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AI Atlas
Company

Google DeepMind and Google Research

data quality35

Updated 7 h ago · first seen 15 Sept 2026

company_01M2K1CR5TTTRHSGV23D6RR12C

Models

Models 1

Grouped by family (canonical family entity when known, legacy label otherwise).

Filter in Models
Models by family
ModelParamsContextOpennessStatusReleasedQuality
WeatherNext1
WeatherNext 3ProprietaryAnnounced3 Sept 202654

Families

Families 1

Families
FamilyModelsFirst releaseLast releaseModalitiesCanonical
WeatherNext13 Sept 20263 Sept 2026dense gridded fields, discrete cyclone tracks, global precipitation reanalysis based on satellite radar, live 1-hour geostationary satellite mosaics, nasa’s satellite-based integrated multi-satellite retrievals for gpm (imerg), sparse weather station observation data, station-level sparse coordinates, traditional historical analysislegacy label

Research

Papers 0

All

No paper is attributed to Google DeepMind and Google Research: arXiv metadata carries author names but no affiliation, and a paper is linked to an organization only when an official model card or lab page cites it.

People

Researchers 0

Only researcher records with an identifier or a stated affiliation are listed.

No researcher is affiliated with Google DeepMind and Google Research by a stated relation. The atlas's researcher rows come from arXiv author lists (name only, no identifier, no affiliation) and are not attributed to organizations.

Serving

Providers operated 0

No provider operated by this organization is recorded.

Code

Repositories & frameworks 0

No repository or framework linked.

Timeline

Corporate news 0

ANNOUNCEMENT events from the organization's own channels, newest first (dates are publication dates when stated).

Timeline

Model events 1

New models, releases, deprecations, price and property changes for the models this organization develops.

Full timeline
  • backfill
    New modelModelWeatherNext 3Google DeepMind and Google Research

    New model: WeatherNext 3 (Google DeepMind and Google Research)

    google

Sources

Sources 1

Source documents
SourceDocumentTypeTierLast observedSnapshots
Google AI for Developers (Gemini API docs)deepmind.google/blog/introducing-weathernext-3-our-most-advanced-and-accurate-global-weather-ai-model newsT1· Official21 h ago1

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.