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
The efficacy of traditional disease prediction is limited by spatial gaps and temporal lags, which impact the timing and targets of resource deployments. Outbreaks escalate undetected, chronic disease burdens are quantified years later, and at-risk populations in data-sparse regions remain unaddressed. Planetary geospa...
Arbaaz Muslim, Aviv Slobodkin, Katherine Wheeler-Martin et al.· 0 citations
This work introduces STAR, a framework for studying how closely the dispositions expressed by LLMs align with those of humans, and finds that LLM recommendations are substantially less diverse than human choices, both within individual models and even across models from different providers.
Amir Taubenfeld, Zorik Gekhman, Lior Nezry et al.· arXiv.org· 7 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.
By combining autonomous multimodal planetary data discovery with targeted model optimization, PPE lowers the technical barrier to planetary-scale analytics, enabling rapid, customized, expert-level deployment.
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.· 1 citation
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
The Paper Assistant Tool is introduced, an agentic AI framework built for deep scientific review and verification and able to identify deeper issues than a single model call alone, achieving a 34% improvement over zero-shot recall on mathematical errors in the SPOT benchmark.
Rajesh Jayaram, Drew Tyler, David P. Woodruff et al.· arXiv.org· 0 citations
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