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We introduce a dynamic, mobility-informed framework that allows AI models to understand the temporal activity rhythms of places over time, and, in doing so, significantly improve predictions about real-world attributes like opening hours, price levels, and busyness.
Insulin resistance is one of the most critical yet underdiagnosed drivers of modern metabolic disease. Predating the clinical onset of type 2 diabetes by years, impaired insulin sensitivity stealthily impairs vascular health, liver function, and energy metabolism long before fasting blood sugar…
Factuality is essential for making Large Language Models (LLMs) reliable. When a model answers a factual question incorrectly, is it because the fact was never encoded, or because the fact is encoded but not accessible?
When a physician meets a patient, the consultation extends far beyond the words exchanged. The physician observes the patient's gait, registers visible signs of discomfort, notes their breathing, and guides the patient through physical examination maneuvers.
Large language models (LLMs) are increasingly being deployed not just as coding assistants but as autonomous agents capable of conducting end-to-end scientific research workflows.
A large proportion of clinical diagnoses can be derived from language-based interviews alone. These diagnostic interviews are typically conducted by clinicians through doctor-patient interactions during in-person or remote visits.
Imagine a symphony orchestra performing a complex masterpiece. If the violins drifted out of tune every few measures, the ensemble would constantly have to stop and retune their instruments. Thankfully, this doesn't happen in an orchestra because the instruments reliably stay in tune.
Diffusion models are currently one of the most powerful types of tools for generative tasks that require complex and local structures, such as image generation and molecular discovery.
Estimates suggest that billions of wearable devices are now in use, precisely tracking heart rate, movement, skin temperature, blood-oxygen levels, and sleep across days, weeks, and months.
Vehicle transportation underpins much of modern life, enabling the movement of goods and people, productivity, and economic growth. However, the costs are high: drivers spend an average of 2.6 years of their life on the road, and private cars and vans now account for around 10% of global CO2…
We’re releasing an expanded dataset of building-level rooftop reflectivity covering 50+ global cities to help urban planners implement cool-roof solutions and mitigate extreme heat. This dataset is being made accessible through a new high-resolution Heat Resilience Earth Engine App.
We’ve seen a massive shift in how people handle time-series forecasting since we launched TimesFM. Now, we’re bringing that same "zero-shot" logic to tabular data.
Having powerful Large Language Models (LLMs) right in your pocket is now a reality with on-device models like Gemini Nano and Gemma. This technology enables everyday features on your phone — such as instantly summarizing a flurry of notifications or proofreading an important text message — all…
Linear elastic caching minimizes total cache cost by framing page eviction as a ski rental problem, using lightweight machine learning to optimize the trade-off between memory footprint and cache misses.
It is well-established that allowing large language models (LLMs) to generate step-by-step reasoning traces, commonly known as chain-of-thought (CoT), enhances performance on complex tasks.
We developed a high-resolution deep learning framework to reveal fine-scale ecological features, like hedgerows and copses, that are typically invisible to standard satellite detection.
More than half of adults use the Internet for health information, and one-third turn to artificial intelligence (AI). However, access to information does not mean that it is easy to understand or correctly interpreted.
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