# Open Source Models & Datasets

Published articles for Open Source Models & Datasets.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## A connectomics milestone: Mapping the complete male fruit fly brain

DevFeed: [A connectomics milestone: Mapping the complete male fruit fly brain](<https://devfeed.tech/articles/a-connectomics-milestone-mapping-the-complete-male-fruit-fly-brain-6737.md>)

Original publisher: [Read original article](<https://research.google/blog/a-connectomics-milestone-mapping-the-complete-male-fruit-fly-brain/>)

Published: 2026-09-03T16:00:03Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [datasets](<https://devfeed.tech/topics/datasets.md>), [Google](<https://devfeed.tech/topics/google.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [general-science](<https://devfeed.tech/tags/general-science.md>), [google](<https://devfeed.tech/tags/google.md>), [health-bioscience](<https://devfeed.tech/tags/health-bioscience.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [science](<https://devfeed.tech/tags/science.md>)

### AI overview

Google Research describes a complete wiring map of the male fruit fly's brain and central nervous system, containing over 166,000 neurons and 125 million synaptic connections. The connectome was produced through a decade-long partnership using computing and AI, and is available to explore and download via Neuroglancer.

### Source excerpt

General Science

## Expanding our Heat Resilience data to 50+ global cities

DevFeed: [Expanding our Heat Resilience data to 50+ global cities](<https://devfeed.tech/articles/expanding-our-heat-resilience-data-to-50-global-cities-6771.md>)

Original publisher: [Read original article](<https://research.google/blog/expanding-our-heat-resilience-data-to-50-global-cities/>)

Published: 2026-06-30T17:03:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Earth AI](<https://devfeed.tech/topics/earth-ai.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Google](<https://devfeed.tech/topics/google.md>), [App](<https://devfeed.tech/topics/app.md>), [data](<https://devfeed.tech/topics/data.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [app](<https://devfeed.tech/tags/app.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [data](<https://devfeed.tech/tags/data.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [earth-ai](<https://devfeed.tech/tags/earth-ai.md>), [google](<https://devfeed.tech/tags/google.md>), [heat](<https://devfeed.tech/tags/heat.md>), [mapping](<https://devfeed.tech/tags/mapping.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [tools](<https://devfeed.tech/tags/tools.md>)

### AI overview

Google Research is expanding its building-level rooftop reflectivity dataset to cover more than 50 global cities. The data is available through a high-resolution Heat Resilience Earth Engine App and is intended to help urban planners prioritize cool-roof interventions that reduce heat exposure and protect vulnerable communities.

### Source excerpt

Climate & Sustainability

## From pixels to planning: Earth AI for nature restoration

DevFeed: [From pixels to planning: Earth AI for nature restoration](<https://devfeed.tech/articles/from-pixels-to-planning-earth-ai-for-nature-restoration-6782.md>)

Original publisher: [Read original article](<https://research.google/blog/from-pixels-to-planning-earth-ai-for-nature-restoration/>)

Published: 2026-06-16T17:30:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Earth AI](<https://devfeed.tech/topics/earth-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Google](<https://devfeed.tech/topics/google.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [data](<https://devfeed.tech/tags/data.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [earth-ai](<https://devfeed.tech/tags/earth-ai.md>), [google](<https://devfeed.tech/tags/google.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [resource](<https://devfeed.tech/tags/resource.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [uk](<https://devfeed.tech/tags/uk.md>), [vector](<https://devfeed.tech/tags/vector.md>)

### AI overview

Google Research describes a high-resolution deep learning approach that converts pixel-based maps of fine-scale ecological features into a vectorized dataset. The resource is intended to support nature restoration, carbon accounting, and biodiversity efforts across working landscapes in the UK while considering food security.

### Source excerpt

Climate & Sustainability

## The next chapter in flood resilience: Open sourcing Google's hydrology framework

DevFeed: [The next chapter in flood resilience: Open sourcing Google's hydrology framework](<https://devfeed.tech/articles/the-next-chapter-in-flood-resilience-open-sourcing-google-s-hydrology-framework-6892.md>)

Original publisher: [Read original article](<https://research.google/blog/the-next-chapter-in-flood-resilience-open-sourcing-googles-hydrology-framework/>)

Published: 2026-06-03T18:37:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Google](<https://devfeed.tech/topics/google.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [GitHub](<https://devfeed.tech/topics/github.md>), [Earth AI](<https://devfeed.tech/topics/earth-ai.md>), [Python](<https://devfeed.tech/topics/python.md>), [PyTorch](<https://devfeed.tech/topics/pytorch.md>), [Google AI](<https://devfeed.tech/topics/google-ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [data](<https://devfeed.tech/tags/data.md>), [earth-ai](<https://devfeed.tech/tags/earth-ai.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [github](<https://devfeed.tech/tags/github.md>), [google](<https://devfeed.tech/tags/google.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [python](<https://devfeed.tech/tags/python.md>), [pytorch](<https://devfeed.tech/tags/pytorch.md>), [research](<https://devfeed.tech/tags/research.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

Google Research is open-sourcing a Python and PyTorch hydrology framework for AI-based riverine flood forecasting, enabling meteorological and hydrological agencies to use local data, train models, and improve flood warnings.

### Source excerpt

Climate & Sustainability

## Empirical Research Assistance (ERA): From Nature publication to catalyzing Computational Discovery

DevFeed: [Empirical Research Assistance (ERA): From Nature publication to catalyzing Computational Discovery](<https://devfeed.tech/articles/empirical-research-assistance-era-from-nature-publication-to-catalyzing-computational-discovery-6765.md>)

Original publisher: [Read original article](<https://research.google/blog/empirical-research-assistance-era-from-nature-publication-to-catalyzing-computational-discovery/>)

Published: 2026-05-19T17:52:00Z

Content type: news

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [coding](<https://devfeed.tech/topics/coding.md>), [Google](<https://devfeed.tech/topics/google.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Data Science](<https://devfeed.tech/topics/data-science.md>), [Software](<https://devfeed.tech/topics/software.md>), [Time Series](<https://devfeed.tech/topics/time-series.md>), [Mathematics](<https://devfeed.tech/topics/mathematics.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [code](<https://devfeed.tech/tags/code.md>), [coding](<https://devfeed.tech/tags/coding.md>), [drive](<https://devfeed.tech/tags/drive.md>), [general-science](<https://devfeed.tech/tags/general-science.md>), [google](<https://devfeed.tech/tags/google.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [natural-language-processing](<https://devfeed.tech/tags/natural-language-processing.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [time-series](<https://devfeed.tech/tags/time-series.md>)

### AI overview

Google Research introduces Empirical Research Assistance (ERA), an AI tool that uses Gemini to write and optimize scientific code. ERA searches literature, explores solutions, evaluates results, and uses tree search to optimize code for computational experiments. Tests across genomics, public health, satellite imagery, neuroscience, time-series forecasting, and mathematics show expert-level benchmark performance. ERA also helped build the Computational Discovery prototype, which is being made available through Google Labs and Gemini for Science.

### Source excerpt

General Science

## Catalyzing scientific impact through global partnerships and open resources

DevFeed: [Catalyzing scientific impact through global partnerships and open resources](<https://devfeed.tech/articles/catalyzing-scientific-impact-through-global-partnerships-and-open-resources-6753.md>)

Original publisher: [Read original article](<https://research.google/blog/catalyzing-scientific-impact-through-global-partnerships-and-open-resources/>)

Published: 2026-05-01T16:37:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Open Source](<https://devfeed.tech/topics/open-source.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Google](<https://devfeed.tech/topics/google.md>), [Transformer architecture](<https://devfeed.tech/topics/transformer-architecture.md>)

Tags: [apis](<https://devfeed.tech/tags/apis.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [australia](<https://devfeed.tech/tags/australia.md>), [collaboration](<https://devfeed.tech/tags/collaboration.md>), [community](<https://devfeed.tech/tags/community.md>), [data-mining-modeling](<https://devfeed.tech/tags/data-mining-modeling.md>), [developers](<https://devfeed.tech/tags/developers.md>), [general-science](<https://devfeed.tech/tags/general-science.md>), [global](<https://devfeed.tech/tags/global.md>), [google](<https://devfeed.tech/tags/google.md>), [health-bioscience](<https://devfeed.tech/tags/health-bioscience.md>), [india](<https://devfeed.tech/tags/india.md>), [japan](<https://devfeed.tech/tags/japan.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [partnerships](<https://devfeed.tech/tags/partnerships.md>), [publications](<https://devfeed.tech/tags/publications.md>), [research](<https://devfeed.tech/tags/research.md>), [science](<https://devfeed.tech/tags/science.md>), [software](<https://devfeed.tech/tags/software.md>), [technology](<https://devfeed.tech/tags/technology.md>), [transformer-architecture](<https://devfeed.tech/tags/transformer-architecture.md>)

### AI overview

Google Research describes an open-science approach centered on responsible research, open-source software, open-access datasets, and partnerships with scientific organizations and consortia worldwide. It highlights shared technologies and datasets, including Transformer architecture and specialized models used across fields such as medicine, genomics, neuroscience, climate, and energy.

### Source excerpt

Data Mining & Modeling

## Protecting cities with AI-driven flash flood forecasting

DevFeed: [Protecting cities with AI-driven flash flood forecasting](<https://devfeed.tech/articles/protecting-cities-with-ai-driven-flash-flood-forecasting-6850.md>)

Original publisher: [Read original article](<https://research.google/blog/protecting-cities-with-ai-driven-flash-flood-forecasting/>)

Published: 2026-03-12T13:03:15Z

Content type: news

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Google](<https://devfeed.tech/topics/google.md>), [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-training](<https://devfeed.tech/tags/ai-training.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [data](<https://devfeed.tech/tags/data.md>), [earth-ai](<https://devfeed.tech/tags/earth-ai.md>), [flash](<https://devfeed.tech/tags/flash.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [google](<https://devfeed.tech/tags/google.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [news](<https://devfeed.tech/tags/news.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>)

### AI overview

Google Research announces urban flash flood forecasts that use an AI-powered methodology to provide up to 24 hours of advance warning. The article describes the forecasting challenge posed by rapidly developing floods, limited ground-truth data, and the need to expand early-warning coverage for vulnerable communities.

### Source excerpt

Climate & Sustainability

## Introducing Groundsource: Turning news reports into data with Gemini

DevFeed: [Introducing Groundsource: Turning news reports into data with Gemini](<https://devfeed.tech/articles/introducing-groundsource-turning-news-reports-into-data-with-gemini-6825.md>)

Original publisher: [Read original article](<https://research.google/blog/introducing-groundsource-turning-news-reports-into-data-with-gemini/>)

Published: 2026-03-12T10:42:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [datasets](<https://devfeed.tech/topics/datasets.md>), [Ground truth / benchmark quality](<https://devfeed.tech/topics/ground-truth-benchmark-quality.md>), [data](<https://devfeed.tech/topics/data.md>), [Resilience](<https://devfeed.tech/topics/resilience.md>), [Google](<https://devfeed.tech/topics/google.md>)

Tags: [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [flash](<https://devfeed.tech/tags/flash.md>), [gemini](<https://devfeed.tech/tags/gemini.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [natural-language-processing](<https://devfeed.tech/tags/natural-language-processing.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>)

### AI overview

Google Research introduces Groundsource, a scalable methodology that uses Gemini to convert unstructured global news reports into verified historical data. Its first open-access dataset contains 2.6 million flash-flood records from more than 150 countries, supporting research, forecasting, and urban crisis resilience.

### Source excerpt

Climate & Sustainability

## WAXAL: A large-scale open resource for African language speech technology

DevFeed: [WAXAL: A large-scale open resource for African language speech technology](<https://devfeed.tech/articles/waxal-a-large-scale-open-resource-for-african-language-speech-technology-6927.md>)

Original publisher: [Read original article](<https://research.google/blog/waxal-a-large-scale-open-resource-for-african-language-speech-technology/>)

Published: 2026-03-06T20:06:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [asr](<https://devfeed.tech/topics/asr.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [voice ai](<https://devfeed.tech/topics/voice-ai.md>), [data](<https://devfeed.tech/topics/data.md>), [Google](<https://devfeed.tech/topics/google.md>), [AI Research](<https://devfeed.tech/topics/ai-research.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [africa](<https://devfeed.tech/tags/africa.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-research](<https://devfeed.tech/tags/ai-research.md>), [asr](<https://devfeed.tech/tags/asr.md>), [audio](<https://devfeed.tech/tags/audio.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [google](<https://devfeed.tech/tags/google.md>), [natural-language-processing](<https://devfeed.tech/tags/natural-language-processing.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [resources](<https://devfeed.tech/tags/resources.md>), [speech](<https://devfeed.tech/tags/speech.md>), [text-to-speech](<https://devfeed.tech/tags/text-to-speech.md>), [transcription](<https://devfeed.tech/tags/transcription.md>), [voice](<https://devfeed.tech/tags/voice.md>)

### AI overview

Google Research introduces WAXAL, an open-access speech dataset covering 27 Sub-Saharan African languages. The release includes approximately 1,846 hours of transcribed ASR data and more than 565 hours of high-fidelity TTS recordings under a CC-BY-4.0 license.

### Source excerpt

Natural Language Processing

## Where wild things roam: Identifying wildlife with SpeciesNet

DevFeed: [Where wild things roam: Identifying wildlife with SpeciesNet](<https://devfeed.tech/articles/where-wild-things-roam-identifying-wildlife-with-speciesnet-6929.md>)

Original publisher: [Read original article](<https://research.google/blog/where-wild-things-roam-identifying-wildlife-with-speciesnet/>)

Published: 2026-03-06T17:59:38Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Earth AI](<https://devfeed.tech/topics/earth-ai.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Google](<https://devfeed.tech/topics/google.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Data analysis](<https://devfeed.tech/topics/data-analysis.md>), [data](<https://devfeed.tech/topics/data.md>), [migration](<https://devfeed.tech/topics/migration.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [analysis](<https://devfeed.tech/tags/analysis.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [data](<https://devfeed.tech/tags/data.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [earth-ai](<https://devfeed.tech/tags/earth-ai.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [google](<https://devfeed.tech/tags/google.md>), [migration](<https://devfeed.tech/tags/migration.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>)

### AI overview

Google Research describes SpeciesNet, an open-source AI model that identifies nearly 2,500 animal categories in camera-trap images. Trained on 65 million labelled images, it is being used by research groups worldwide to support wildlife monitoring, conservation, and analysis of animal populations and patterns.

### Source excerpt

Climate & Sustainability

## Teaching AI to read a map

DevFeed: [Teaching AI to read a map](<https://devfeed.tech/articles/teaching-ai-to-read-a-map-6884.md>)

Original publisher: [Read original article](<https://research.google/blog/teaching-ai-to-read-a-map/>)

Published: 2026-02-17T21:37:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Machine Perception](<https://devfeed.tech/topics/machine-perception.md>), [Synthetic Data Generation](<https://devfeed.tech/topics/synthetic-data-generation.md>), [multimodal](<https://devfeed.tech/topics/multimodal.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [AI Models](<https://devfeed.tech/topics/ai-models.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [Language models](<https://devfeed.tech/topics/language-models.md>), [large-language-models](<https://devfeed.tech/topics/large-language-models.md>), [Google](<https://devfeed.tech/topics/google.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [datasets](<https://devfeed.tech/tags/datasets.md>), [gemini](<https://devfeed.tech/tags/gemini.md>), [generation](<https://devfeed.tech/tags/generation.md>), [google](<https://devfeed.tech/tags/google.md>), [images](<https://devfeed.tech/tags/images.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [large-language-models](<https://devfeed.tech/tags/large-language-models.md>), [machine-perception](<https://devfeed.tech/tags/machine-perception.md>), [multimodal](<https://devfeed.tech/tags/multimodal.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [synthetic-data](<https://devfeed.tech/tags/synthetic-data.md>), [synthetic-data-generation](<https://devfeed.tech/tags/synthetic-data-generation.md>)

### AI overview

Google Research presents MapTrace, a task, dataset, and synthetic data generation pipeline for teaching multimodal large language models to trace valid routes on maps. The work addresses models' difficulty with spatial, geometric, and topological reasoning and releases 2 million generated question-answer pairs using Gemini 2.5 Pro and Imagen-4 Models.

### Source excerpt

Machine Perception

## How AI trained on birds is surfacing underwater mysteries

DevFeed: [How AI trained on birds is surfacing underwater mysteries](<https://devfeed.tech/articles/how-ai-trained-on-birds-is-surfacing-underwater-mysteries-6812.md>)

Original publisher: [Read original article](<https://research.google/blog/how-ai-trained-on-birds-is-surfacing-underwater-mysteries/>)

Published: 2026-02-09T18:38:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [foundation-models](<https://devfeed.tech/topics/foundation-models.md>), [Google](<https://devfeed.tech/topics/google.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [Monitoring](<https://devfeed.tech/topics/monitoring.md>)

Tags: [agile](<https://devfeed.tech/tags/agile.md>), [ai](<https://devfeed.tech/tags/ai.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [deep-dive](<https://devfeed.tech/tags/deep-dive.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [google](<https://devfeed.tech/tags/google.md>), [google-cloud](<https://devfeed.tech/tags/google-cloud.md>), [models](<https://devfeed.tech/tags/models.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [sound-accoustics](<https://devfeed.tech/tags/sound-accoustics.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

### AI overview

Google Research describes how Perch 2.0, a bioacoustics foundation model trained primarily on birds and other terrestrial animals, transfers effectively to underwater audio tasks. The article highlights whale-vocalization classification, marine-ecosystem research, and a Google Colab tutorial using NOAA acoustic data through Google Cloud.

### Source excerpt

Climate & Sustainability

## NeuralGCM harnesses AI to better simulate long-range global precipitation

DevFeed: [NeuralGCM harnesses AI to better simulate long-range global precipitation](<https://devfeed.tech/articles/neuralgcm-harnesses-ai-to-better-simulate-long-range-global-precipitation-6837.md>)

Original publisher: [Read original article](<https://research.google/blog/neuralgcm-harnesses-ai-to-better-simulate-long-range-global-precipitation/>)

Published: 2026-01-12T17:52:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Neural Network](<https://devfeed.tech/topics/neural-network.md>), [Google](<https://devfeed.tech/topics/google.md>), [Earth AI](<https://devfeed.tech/topics/earth-ai.md>), [AI Research](<https://devfeed.tech/topics/ai-research.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [earth-ai](<https://devfeed.tech/tags/earth-ai.md>), [general-science](<https://devfeed.tech/tags/general-science.md>), [global](<https://devfeed.tech/tags/global.md>), [google](<https://devfeed.tech/tags/google.md>), [machine-intelligence](<https://devfeed.tech/tags/machine-intelligence.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [nasa](<https://devfeed.tech/tags/nasa.md>), [open](<https://devfeed.tech/tags/open.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [science](<https://devfeed.tech/tags/science.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>)

### AI overview

Google Research presents NeuralGCM, a hybrid atmospheric model that combines physics-based modeling with a neural network trained on NASA satellite precipitation observations. The model improves global precipitation simulations, including average rainfall, extreme events, and daily weather cycles, while supporting longer-range weather and climate research.

### Source excerpt

Climate & Sustainability

## Separating natural forests from other tree cover with AI for deforestation-free supply chains

DevFeed: [Separating natural forests from other tree cover with AI for deforestation-free supply chains](<https://devfeed.tech/articles/separating-natural-forests-from-other-tree-cover-with-ai-for-deforestation-free-supply-chains-6870.md>)

Original publisher: [Read original article](<https://research.google/blog/separating-natural-forests-from-other-tree-cover-with-ai-for-deforestation-free-supply-chains/>)

Published: 2025-11-13T19:04:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Google](<https://devfeed.tech/topics/google.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [data](<https://devfeed.tech/topics/data.md>), [Monitoring](<https://devfeed.tech/topics/monitoring.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [data](<https://devfeed.tech/tags/data.md>), [global](<https://devfeed.tech/tags/global.md>), [google](<https://devfeed.tech/tags/google.md>), [monitoring](<https://devfeed.tech/tags/monitoring.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [responsible-ai](<https://devfeed.tech/tags/responsible-ai.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>)

### AI overview

Google Research and Google DeepMind are releasing Natural Forests of the World 2020, an AI-powered map and dataset that distinguishes natural forests from other tree cover. The globally consistent 10-meter-resolution map is intended to support deforestation and degradation monitoring, supply-chain due diligence, and compliance with deforestation-free goals, including the European Union's regulation on deforestation-free products.

### Source excerpt

Climate & Sustainability

## Forecasting the future of forests with AI: From counting losses to predicting risk

DevFeed: [Forecasting the future of forests with AI: From counting losses to predicting risk](<https://devfeed.tech/articles/forecasting-the-future-of-forests-with-ai-from-counting-losses-to-predicting-risk-6777.md>)

Original publisher: [Read original article](<https://research.google/blog/forecasting-the-future-of-forests-with-ai-from-counting-losses-to-predicting-risk/>)

Published: 2025-11-05T15:41:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [Deep learning](<https://devfeed.tech/topics/deep-learning.md>), [Google](<https://devfeed.tech/topics/google.md>), [dataset](<https://devfeed.tech/topics/dataset.md>), [data](<https://devfeed.tech/topics/data.md>), [Monitoring](<https://devfeed.tech/topics/monitoring.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [data](<https://devfeed.tech/tags/data.md>), [deep-learning](<https://devfeed.tech/tags/deep-learning.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [global](<https://devfeed.tech/tags/global.md>), [google](<https://devfeed.tech/tags/google.md>), [models](<https://devfeed.tech/tags/models.md>), [monitoring](<https://devfeed.tech/tags/monitoring.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>)

### AI overview

Google Research and Google DeepMind introduce ForestCast, a deep learning-powered benchmark and public dataset for forecasting deforestation risk. The approach uses satellite data to predict future risk consistently across regions, addressing limitations of backward-looking forest-loss monitoring and patchy, outdated input maps. The released input, training, and evaluation data are intended to support reproducibility and further research.

### Source excerpt

Climate & Sustainability

## Using AI to identify genetic variants in tumors with DeepSomatic

DevFeed: [Using AI to identify genetic variants in tumors with DeepSomatic](<https://devfeed.tech/articles/using-ai-to-identify-genetic-variants-in-tumors-with-deepsomatic-6924.md>)

Original publisher: [Read original article](<https://research.google/blog/using-ai-to-identify-genetic-variants-in-tumors-with-deepsomatic/>)

Published: 2025-10-16T16:33:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Google](<https://devfeed.tech/topics/google.md>), [Deep neural networks](<https://devfeed.tech/topics/deep-neural-networks.md>), [datasets](<https://devfeed.tech/topics/datasets.md>), [Machine Learning & Artificial Intelligence](<https://devfeed.tech/topics/machine-learning-artificial-intelligence.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [ai](<https://devfeed.tech/tags/ai.md>), [general-science](<https://devfeed.tech/tags/general-science.md>), [google](<https://devfeed.tech/tags/google.md>), [health-bioscience](<https://devfeed.tech/tags/health-bioscience.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [neural-networks](<https://devfeed.tech/tags/neural-networks.md>), [open-source-models-datasets](<https://devfeed.tech/tags/open-source-models-datasets.md>), [research](<https://devfeed.tech/tags/research.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

Google Research presents DeepSomatic, an AI-powered tool that uses convolutional neural networks to identify cancer-related genetic variants in tumor sequencing data. The tool supports major sequencing platforms and sample-processing methods, and its software and training dataset are openly available to researchers.

### Source excerpt

General Science