Results 151 to 160 of about 63,655 (291)

From Competition to Complementarity: Foundations and Evidence for Effective Human-AI Collaboration

The rapid development of artificial intelligence (AI) and its growing ability to autonomously perform a wide range of tasks raises questions about the future role of humans in various domains.
Schemmer, Max Richard
core   +2 more sources

Human-AI collaboration for dysphagia rehabilitation from effectiveness to implementation complexity: a systematic review. [PDF]

NPJ Digit Med
Yang W, Li S, Du Y, Chen M, Yang F, Zhang F, Zhao J, Li Y, Xu X.   +8 more
europepmc   +1 more source

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

Human-AI Collaboration to Support Mental Health and Well-Being

Thesis (Ph.D.)--University of Washington, 2024As mental health conditions surge worldwide, healthcare systems are struggling to provide accessible and high-quality mental health care for all.
Sharma, Ashish
core  

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Enhancing Teamwork in News Media : A Design Science Approach to Human-AI Collaboration for Story Planning

This ongoing study addresses the increasing need for human-AI collaboration in newsrooms through a conversational system to enhance teamwork. Our prototype leverages retrieval-augmented generation to provide features for content analysis and social ...
Gautschi, Heidi, Viscusi, Gianluigi, Manify, Michelle, Bonazzi, Riccardo   +3 more
core   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Investigating the impact of human-AI collaboration on user outcomes

This study aims to investigate whether receiving just-in-time feedback through a human-AI collaboration approach increases users’ knowledge self-efficacy in writing responses to support-seeking posts from online health communities.
Danielly de Paula
core   +1 more source

Beyond facilitation and inhibition: a configurational mechanism study of cognitive transitions in human-AI collaboration. [PDF]

Front Psychol
Shao X, Jiang W, Osman KN.
europepmc   +1 more source

Argument-based human-AI collaboration for supporting behavior change to improve health. [PDF]

Front Artif Intell, 2023
Kilic K, Weck S, Kampik T, Lindgren H.
europepmc   +1 more source