startup technology

Mapping the modern world: How S2Vec learns the language of our cities

Mapping the modern world: How S2Vec learns the language of our cities

Google Research has introduced S2Vec, a self-supervised framework designed to learn general-purpose embeddings of the built environment as part of ... Read more

Mapping the modern world: How S2Vec learns the language of our cities

Google Research at The Check Up: from healthcare innovation to real-world care settings

Researchers say multimodal open-weight models and multi-agent systems could change healthcare by making it more accurate and personalized, improving disease ... Read more

Mapping the modern world: How S2Vec learns the language of our cities

Improving breast cancer screening workflows with machine learning

A study of an AI system for mammogram screening evaluated both standalone performance and how it could fit into real ... Read more

Mapping the modern world: How S2Vec learns the language of our cities

Testing LLMs on superconductivity research questions

A test case comparing large language models on scientific literature found that models drawing from curated databases of experimental papers ... Read more

Mapping the modern world: How S2Vec learns the language of our cities

Protecting cities with AI-driven flash flood forecasting

A new flood-warning model aims to extend early warning coverage beyond hyper-local systems by relying on global weather products and ... Read more

Mapping the modern world: How S2Vec learns the language of our cities

Introducing Groundsource: Turning news reports into data with Gemini

Researchers have described a system called Groundsource that turns unstructured news reports about flooding into structured data by using Google ... Read more

Mapping the modern world: How S2Vec learns the language of our cities

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

The WAXAL project was built with a focus on the African AI ecosystem, with data collection led by African academic ... Read more

Mapping the modern world: How S2Vec learns the language of our cities

Where wild things roam: Identifying wildlife with SpeciesNet

Google-developed AI model SpeciesNet is being used to identify animals in camera trap images, giving researchers and conservation teams a ... Read more

Mapping the modern world: How S2Vec learns the language of our cities

Teaching LLMs to reason like Bayesians

Researchers evaluated whether LLMs update their estimates of user preferences in line with optimal Bayesian inference by testing them in ... Read more

Mapping the modern world: How S2Vec learns the language of our cities

Scheduling in a changing world: Maximizing throughput with time-varying capacity

The source text discusses online job scheduling, where jobs arrive dynamically and the scheduler must make immediate decisions without knowing ... Read more