Results 31 to 40 of about 1,296,780 (259)

Neural Networks for Predicting Algorithm Runtime Distributions

, 2018
Many state-of-the-art algorithms for solving hard combinatorial problems in artificial intelligence (AI) include elements of stochasticity that lead to high variations in runtime, even for a fixed problem instance.
Eggensperger, Katharina, Hutter, Frank, Lindauer, Marius   +2 more
core   +1 more source

Approaches for retraining sEMG classifiers for upper-limb prostheses

Frontiers in Neurorobotics
IntroductionAbandonment rates for myoelectric upper limb prostheses can reach 44%, negatively affecting quality of life and increasing the risk of injury due to compensatory movements.
Tom Donnelly, Tom Donnelly, Elena Seminati, Elena Seminati, Elena Seminati, Benjamin Metcalfe, Benjamin Metcalfe, Benjamin Metcalfe   +7 more
doaj   +1 more source

The Zombification of art history: how AI resurrects dead masters, and perpetuates historical biases

Journal of Science and Technology of the Arts, 2019
In the past few years deep-learning AI neural networks have achieved major milestones in artistic image analysis and generation, producing what some refer to as ‘art.’ We reflect critically on some of the artistic shortcomings of a few projects that ...
Tsila Hassine, Ziv Neeman
doaj   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Evaluation of a novel EHR sidecar application to display RA clinical outcomes during clinic visits: results of a stepped‐wedge cluster randomized pragmatic trial

Arthritis Care &Research, Accepted Article.
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk, Jing Li, Cathy Nasrallah, Cherish Wilson, Alicia Hamblin, Christine Hariz, Cammie Young, Stephen Shiboski, Emma Kersey, Mary Nakamura, Judith F. Ashouri, Mehrdad Matloubian, Andrew J. Gross, Jennifer Barton, Beth Berrean, Jonathan Prugh, Jinoos Yazdany   +16 more
wiley   +1 more source

Ask not what AI can do for art... but what art can do for AI

Artnodes, 2020
What can art do for artificial intelligence? This essay circles around this question from a viewpoint grounded in the embodied knowledge base of contemporary art.
Meredith Tromble
doaj   +1 more source

Associations of Sleep and Shift Work with Osteoarthritis Risk

Arthritis Care &Research, Accepted Article.
Objective Daily rhythms may be critical for maintaining homeostasis of joint tissues. We aimed to investigate the relationships between circadian clock disruption, sleep, and osteoarthritis (OA) risk in humans. Methods In the UK Biobank, a prospective 500,000‐person cohort, we evaluated associations between sleep duration, sleeplessness/insomnia, and ...
Elizabeth L. Yanik, Abigail Bridgeman, Erik D. Herzog, Vy Pham, Bradley A. Evanoff, Farshid Guilak   +5 more
wiley   +1 more source

Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games [PDF]

, 2017
Many artificial intelligence (AI) applications often require multiple intelligent agents to work in a collaborative effort. Efficient learning for intra-agent communication and coordination is an indispensable step towards general AI.
Long, Haitao, Peng, Peng, Tang, Zhenkun, Wang, Jun, Wen, Ying, Yang, Yaodong, Yuan, Quan   +6 more
core   +1 more source

Hybrid Auxetic Architectures: Integrating Curvature‐Driven Design for Enhanced Mechanical Tunability and Structural Performance

Advanced Engineering Materials, EarlyView.
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De, Giovanni Meli, Meysam Khalighian, Anahita Emami   +3 more
wiley   +1 more source

The politics of Ai Weiwei [PDF]

, 2016
Activism and art are one, claims Ai Weiwei. His recent exhibition at the Royal Academy has garnered favourable reviews commending him for his political activism against the Chinese state.
Sheng Yap, Lay
core