activity
20232026
most citedArtificial Intelligence Index Report 2023

189 citations · 565 across the 25 of their papers we have counts for

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Showing 2026Show all

11 papers · 1 filter

cs.LG2026

Reasoning with Neural Cellular Automata

Mayalen Etcheverry, Pietro Miotti, Aidan Sirbu +7

Modern AI architectures used to solve visual reasoning tasks typically rely heavily on global connectivity and synchronization. As biological systems demonstrate, though, sophistic…

econ.GN2026

AI in Science: Early Insights

Mihai Codreanu, Alex Imas, Juan Mateos-Garcia +15

Scientific progress is a key driver of economic growth and prosperity. There is great excitement - but also concerns - about the impacts of AI on science, but so far little data. W…

cs.AI2026

Planetary Prediction Engine: Autonomous Geospatial Prediction via Intelligent Data Selection and Foundation Model Embeddings

Evelyn Ma, Rama Kumar Pasumarthi, Kishwar Shafin +26

Addressing critical global challenges, from food security and disaster risk to disease outbreaks and socio-economic vulnerability, demands high-fidelity geospatial modeling. Howeve…

cs.AI2026

Towards Expert-level Medical AI for Real-time Video Consultations

Mahvish Nagda, Jihyeon Lee, Matthew Thompson +37

Audio-visual interaction is the standard for patient-physician consultations, enabling natural communication and effective assessment of illness through non-verbal cues. While text…

cs.AI2026

A game theory for foundation models shows new paths to rational cooperation through similarity inference

Alexander Meulemans, Maciej Wołczyk, Marissa A. Weis +11

As autonomous agents powered by foundation models are increasingly integrated into social and economic systems, understanding the principles governing their collective behavior is…

econ.GN2026

Google's AI & Economy ATLAS v1.0: Mapping Gemini Usage in the Economy

Zanna Iscenko, Scott Strand, Yiyuan Chen +15

This paper introduces the AI & Economy ATLAS (Activity, Task, Landscape, and Adoption Study), an ongoing economic research initiative using Google AI usage data. The first iteratio…

cs.NE2026

Coevolution of self-replication and function in a digital primordial soup

Francesco Cicala, Eyvind Niklasson, Ettore Randazzo +8

While traditional evolutionary algorithms hard-code reproduction, self-replication can emerge spontaneously within digital ``primordial soups''. This paper investigates the coevolu…

cs.AI2026

Artificial Intelligence Index Report 2026

Sha Sajadieh, Loredana Fattorini, Raymond Perrault +20

Welcome to the ninth edition of the AI Index report. As AI continues to advance rapidly, the question becomes whether the systems built around it can keep up. Governance frameworks…

cs.HC2026

Generative UI: LLMs are Effective UI Generators

Yaniv Leviathan, Dani Valevski, Matan Kalman +10

AI models excel at creating content, but typically render it with static, predefined interfaces. Specifically, the output of LLMs is often a markdown "wall of text". Generative UI…

cs.HC2026★ 1 cited

A prospective clinical feasibility study of a conversational diagnostic AI in an ambulatory primary care clinic

Peter Brodeur, Jacob M. Koshy, Anil Palepu +45

Large language model (LLM)-based AI systems have shown promise for patient-facing diagnostic and management conversations in simulated settings. Translating these systems into clin…

cs.CL2026★ 3 cited

Accelerating Scientific Research with Gemini: Case Studies and Common Techniques

David P. Woodruff, Vincent Cohen-Addad, Lalit Jain +33

Recent advances in large language models (LLMs) have opened new avenues for accelerating scientific research. While models are increasingly capable of assisting with routine tasks,…