35 stories
Judgment is what sets senior professionals apart from their junior peers. Building judgment requires thousands of hours learning on the job, usually through tedious but formative engagement with relatively routine work, often under guided supervision by experienced workers.
Public health decisions rely heavily on timely, granular data. For health conditions, such as cardiovascular disease or postpartum depression, that data shows us where to focus resources and support.
We're rapidly transitioning to a computing landscape defined by highly general, increasingly autonomous agents. Driven by large language models (LLMs) that can dynamically generate plans and invoke external tools, these systems offer the potential for AI to seamlessly handle complex, multi-step…
In 2017, Google introduced Federated Learning (FL) a machine learning technique that trains models across decentralized, private data. It has been used to power everyday helpful features, including next-word prediction and Smart Compose on Gboard, reply suggestions in Google Messages, and Smart…
The rapid advancement of text-to-image AI models, such as Nano Banana, Stable Diffusion and Flux, has fundamentally transformed creative design, allowing anyone to synthesize photorealistic, high-fidelity images from textual descriptions.
Recent advancements in video diffusion demonstrate remarkable high-fidelity generation with models that can render realistic scenes in seconds. However, while diffusion models generate high-fidelity video clips, transforming them into coherent long storytelling engines remains challenging.
How can a Dutch poffert arrive at your door, 450 miles (700 km) away, the very next day? It’s thanks to careful logistics optimization — especially the middle-mile segment.
Digital educational tools have transformed how students around the world access information, from online textbooks to video libraries. Yet, for all the remarkable leaps in technology and accessibility, digital learning can often feel like a passive experience.
Modern search or recommendation applications are increasingly expected to return a coherent set of results rather than a single best match. For example, when a user searches for "camping gear", they don’t want ten slight variations of four-person tents.
AI agents have shown great potential in automating real-world tasks, such as conducting a Google Search, reading local computer files, or executing generated Python scripts. To achieve such agentic workflows, LLMs need to learn how to use tools correctly and efficiently.
Polygenic risk scores (PRSs) are used to predict disease risk from genetic variants. They usually incorporate the influence of hundreds to millions of genetic variants.
We partnered with HHMI Janelia and collaborators in Cambridge, U.K., to publish a complete map of the male fruit fly’s brain and central nervous system, creating the largest brain map to date.
Methane is a potent greenhouse gas; over a 100-year timeframe, its warming potential is 30 times greater than that of carbon dioxide. In fact, it has driven approximately 25% of human-induced warming since the start of the industrial era.
We introduce TimesFM-3, a state-of-the-art time series foundation model that enables highly accurate multivariate time series forecasting in a single forward pass, significantly outperforming other forecasting models across major benchmarks.
As part of Google Earth AI, we introduce the planetary prediction engine (PPE), an experimental research capability that autonomously executes the full geospatial modeling workflow — from data discovery to model training — achieving improvements across diverse prediction tasks in public health,…
Consumer wearables use motion and physiological sensors to estimate activity and sleep, but these signals provide only an indirect view of glucose regulation.
As AI assistants evolve from simple text interfaces to multimodal companions, we are seeing a shift toward more proactive, situated assistance. Recent innovations like Project Astra and Gemini 3.1 Flash Live already allow users to discuss their physical surroundings in real time, often utilizing…
Wearable devices capture continuous physiological signals at population scale. These streams, ranging from heart rate dynamics to sleep patterns, can reveal early physiological changes before symptoms appear.
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