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2,214 papers
Personalizing rehabilitation requires predicting how individual patients will experience pain yet two patients undergoing identical surgery can report starkly different outcomes. This heterogeneity is not noise: it is systematically driven by personality, beliefs, emotional state, and life circumstances. Psychology has...
Operational risk and security incidents now unfold across distributed, cloud-native estates that generate volumes of telemetry no human team can manually triage at speed. Over the past decade, artificial intelligence (AI) and machine learning (ML) have moved from experimental log-mining prototypes to production compone...
Abstract Theories of translation often posit that in order to translate between languages it is necessary to translate first into an interlanguage of one kind or another. This chapter examines not only the invention of a new kind of interlanguage but also the invention of some of the object languages that the interlang...
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Identifying the underlying reasoning behind a student’s response to a mathematical question is a time-intensive activity for instructors. This work seeks to answer if a Large Language Model (LLM) can be used to identify potential student thinking based solely on their final response. To evaluate the LLM’s identificatio...
Purpose: Professional identity formation in the field of speech-language pathology has received limited attention, particularly regarding how sustained civic engagement experiences during graduate training shape students' understanding of their future roles, values, and responsibilities. While programs such as Teach Fo...
This study aims to present a bibliometric analysis of research on artificial intelligence (AI) applications in renewable energy (RE) technologies and the clean energy transition, highlighting both established and emerging research themes. Data were extracted from Scopus and Web of Science using clearly docum...
Abstract. Understanding coupled World-Earth system dynamics is central to navigating the Anthropocene, yet global social and environmental systems are still predominantly modelled separately. Bidirectionally coupled models of global scale that represent both subsystems as endogenous components are increasingly develope...
Five current large language models could reproduce expert-validated statistical analyses from a published clinical workflow across three statistical tasks: descriptive table generation, Kaplan-Meier survival analysis, and Cox proportional hazards modelling.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
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