Results 61 to 70 of about 1,581,448 (326)

Multi‐Robot Collaborative Complex Indoor Scene Segmentation via Multiplex Interactive Learning

CAAI Transactions on Intelligence Technology
Indoor scene semantic segmentation is essential for enabling robots to understand and interact with their environments effectively. However, numerous challenges remain unresolved, particularly in single‐robot systems, which often struggle with the ...
Jinfu Liu, Zhongzien Jiang, Xinhua Xu, Wenhao Li, Mengyuan Liu, Hong Liu   +5 more
doaj   +1 more source

Preparing for Artificial General Intelligence (AGI) in Health Professions Education: AMEE Guide No. 172

Medical Teacher
Generative Artificial Intelligence (GenAI) caught Health Professions Education (HPE) institutions off-guard, and they are currently adjusting to a changed educational environment.
K. Masters, Anne Herrmann-Werner, T. Festl-Wietek, David C. M. Taylor   +3 more
semanticscholar   +1 more source

Long Term Cost-Effectiveness of Resilient Foods for Global Catastrophes Compared to Artificial General Intelligence Safety

International Journal of Disaster Risk Reduction, 2021
Global agricultural catastrophes, which include nuclear winter and abrupt climate change, could have long-term consequences on humanity such as the collapse and nonrecovery of civilization.
D. Denkenberger, A. Sandberg, R. Tieman, J. Pearce   +3 more
semanticscholar   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

When helpfulness backfires: LLMs and the risk of false medical information due to sycophantic behavior

npj Digital Medicine
Large language models (LLMs) exhibit a vulnerability arising from being trained to be helpful: a tendency to comply with illogical requests that would generate false information, even when they have the knowledge to identify the request as illogical ...
Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo Aerts, Jack Gallifant, Danielle S. Bitterman   +8 more
doaj   +1 more source

Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network

Scientific Reports, 2021
Deep learning convolutional neural network (CNN) can predict mortality from chest radiographs, yet, it is unknown whether radiologists can perform the same task.
Jakob Weiss, Jana Taron, Zexi Jin, Thomas Mayrhofer, Hugo J. W. L. Aerts, Michael T. Lu, Udo Hoffmann   +6 more
doaj   +1 more source

Navigating new norms: a systematic review of factors for the development of effective digital tools in higher education

FEBS Open Bio, EarlyView.
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman, Jessica Haines, Connie Pritchard, Stephen Rutherford, Nigel Francis   +4 more
wiley   +1 more source

A deep learning approach to remotely assessing essential tremor with handwritten images

Scientific Reports
Essential tremor (ET) is the most prevalent movement disorder, with its incidence increasing with age, significantly impacting motor functions and quality of life.
Yumeng Peng, Songliang Han, Di Wu, Chenbin Ma, Zijing Zeng, Ping He, Tian Yuan, Ying Shi, Lixuan Li, Wenjing Yang, Longsheng Pan, Zhengbo Zhang   +11 more
doaj   +1 more source

Solving Tree Problems with Category Theory

, 2018
Artificial Intelligence (AI) has long pursued models, theories, and techniques to imbue machines with human-like general intelligence. Yet even the currently predominant data-driven approaches in AI seem to be lacking humans' unique ability to solve wide
BC Pierce, C Diuk, G Cardona, G Gordon, JA Fodor, M Hutter, ME Taylor, N Tsuchiya, RFC Walters, S Eilenberg, S Mac Lane, S Phillips, S Phillips, S Phillips, Z Arzi-Gonczarowski   +14 more
core   +1 more source

Appraising Regulatory Framework Towards Artificial General Intelligence (AGI) Under Digital Humanism

International Journal of Digital Law and Governance
The explosive advancement of contemporary artificial intelligence (AI) technologies, typified by ChatGPT, is steering humans towards an uncontrollable trajectory to artificial general intelligence (AGI). Against the backdrop of a series of transformative
Le Cheng, Xuan Gong
semanticscholar   +1 more source