It is demonstrated that empirical lab data is more valuable than existing computational proxies, showing how iterative experimental feedback enables AI agents to diagnose assay artifacts and refine molecular designs across rounds.
Zachary Cutts, John Coller, Rachel J. C. Chen et al.· 1 citation
It is well established that students learn best through active engagement, particularly via interactive experiences tied to real-world concepts. Creating such experiences, however, typically requires labor-intensive design, costly development, and continuous teacher guidance to achieve measurably effective outcomes. Re...
А. А. Ковшов, Anisha Choudhury, A. Iurchenko et al.· 0 citations
Google Earth AI is a family of geospatial AI models, together with an agent that orchestrates them. We present this agent, Google Earth AI's Geospatial Reasoning agent (GRA), a Gemini-powered research system that combines geospatial data sources, foundation models, and tools to answer questions about our planet. GRA or...
N. Slonim, Aviv Slobodkin, Gil Fidel et al.· 0 citations
BACKGROUND
Artificial intelligence (AI)-based systems show promise for assisting primary care providers (PCPs) with patient care. We aimed to evaluate the safety and quality of clinical conversations of a patient-facing conversational AI system, which engaged in real-world urgent primary care appointments.
METHODS
In...
P. Brodeur, Jacob M. Koshy, Anil Palepu et al.· The Lancet· 1 citation
Independent global health case studies of Google Earth AI's Population Dynamics Foundation Model (PDFM) address critical surveillance gaps across domains, and showcase capabilities of geospatial foundation models for public health surveillance.
Arbaaz Muslim, Aviv Slobodkin, Katherine Wheeler-Martin et al.· 0 citations
Advances to the artificial intelligence system AMIE enable it to manage disease across multiple visits while reasoning over a corpus of clinical guidelines and patient history, outperforming primary care physicians on management reasoning tasks.
This work introduces Fuse, a multi-agent simulation framework for studying user-mediated social reasoning, and applies Fuse to 12 LLMs and demonstrates its analytical utility by systematically isolating key factors.
Amir Taubenfeld, Zorik Gekhman, Avigail Grinstein-Dabush et al.· 2 citations
Durable skills, such as collaboration, creativity and critical thinking, are instrumental to success in the modern workforce. Yet, measuring these skills remains a persistent challenge. Moreover, because what is not measured is often not taught, these skills are often overlooked in mainstream educational curricula. Des...
Amir Globerson, A. Keeling, Anisha Choudhury et al.· 0 citations
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