Results 91 to 100 of about 2,551,510 (311)

A Low Psoas Muscle Index Was Associated With a Poorer Overall Survival in Patients Who Underwent Percutaneous Nephrostomy

Aging and Cancer, EarlyView.
In patients with malignant ureteral obstruction undergoing percutaneous nephrostomy, sarcopenia defined by a low psoas muscle index was independently associated with poor overall survival on multivariate Cox regression analysis, suggesting that preoperative assessment of psoas muscle index may aid prognostic stratification in this population.
Kota Shimokihara, Takashi Kawahara, Kazuhide Makiyama, Hiroji Uemura   +3 more
wiley   +1 more source

Understanding large language models demands distinguishing human projection from machine cognition

Communications Psychology
Current efforts to understand Large Language Models (LLMs) are largely metaphorical. Researchers map LLMs onto familiar domains, from physics and neuroscience to psychology and sociology, each illuminating specific facets while obscuring others. We chart
Lingyu Li, Yan Teng, Yingchun Wang, Xia Hu   +3 more
doaj   +1 more source

Generative Artificial Intelligence: Philosophy and Theory of Artificial Intelligence

, 2013
The closed systems of contemporary Artificial Intelligence do not seem to lead to intelligent machines in the near future. What is needed are open-ended systems with non-linear properties in order to create interesting properties for the scaffolding of ...
Mueller, Vincent C., van der Zant, Tijn, Schomaker, Lambertus, Kouw, Matthijs   +3 more
core   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Online test-time adaptation for better generalization of interatomic potentials to out-of-distribution data

Nature Communications
Machine learning interatomic potentials (MLIPs) enable more efficient molecular dynamics (MD) simulations with ab initio accuracy, which have been used in various domains of physical science.
Taoyong Cui, Chenyu Tang, Dongzhan Zhou, Yuqiang Li, Xingao Gong, Wanli Ouyang, Mao Su, Shufei Zhang   +7 more
doaj   +1 more source

Predictable artificial intelligence

Artificial Intelligence
Paper Under ...
Lexin Zhou, Pablo A.M. Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alexandru Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo   +14 more
openaire   +4 more sources

Artificial Intelligence and Robotics [PDF]

Artificial Intelligence, 1984
Robotics is that field concerned with the connection of perception to action. Artificial Intelligence must have a central role in Robotics if the connection is to be intelligent. Artificial Intelligence addresses the crucial questions of: what knowledge is required in any aspect of thinking; how that knowledge should be represented; and how that ...
openaire   +1 more source

Risk of Non‐Arteritic Anterior Ischemic Optic Neuropathy in Idiopathic Intracranial Hypertension Patients Treated with GLP‐1 Receptor Agonists

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi, Mohanad A. Alkuwaiti, Yazeed B. Alaql, Ahmed K. Alsaif, Ahmed A. Alessa, Meshari Ayed Alharbi, Mohammed Alfalah, Saud A. Alnaaim, Sajjad M. AlHaddad, Ahmed Y. Azzam   +9 more
wiley   +1 more source

The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time

Communications Earth & Environment
Given the complexity of the atmospheric system, current numerical weather prediction models struggle with accurate forecasts. Here we present FengWu, an Artificial-Intelligence-driven global medium-range forecasting system employing multi-modal and multi-
Kang Chen, Tao Han, Fenghua Ling, Junchao Gong, Lei Bai, Xinyu Wang, Jing-Jia Luo, Ben Fei, Wenlong Zhang, Xi Chen, Leiming Ma, Tianning Zhang, Rui Su, Yuanzheng Ci, Bin Li, Xiaokang Yang, Wanli Ouyang   +16 more
doaj   +1 more source

Artificial Intelligence: Foundational Technologies of Artificial Intelligence

Ubiquity
More than the 70 years since its emergence in the early 1950s, artificial intelligence (AI) is performing cognitive tasks traditionally considered the unique province of humans. This progress did not occur in a vacuum. AI emerged against a rich background of technologies from computer science and ideas about intelligence and learning from philosophy ...
Jeffrey Johnson 0001, Peter J. Denning, Andrew M. Odlyzko, Martin Walker, Kemal A. Delic, Philip Yaffe, Phil D. Picton   +6 more
openaire   +2 more sources