Results 121 to 130 of about 1,042,976 (291)

Electrically Reconfigurable Optical Initialization of Spin Valley Polarization in Monolayer WS2 Enabled by Switchable Dual‐Mode Liquid Crystal Lasers

Advanced Optical Materials, EarlyView.
This work presents an electrically controllable approach to spin–valley polarization in monolayer WS2 by integrating it with a dual‐mode liquid crystal laser. Applying an external field triggers phase transitions that switch the laser emission between helicity‐defined band‐edge lasing and unpolarized random lasing.
Yu‐Chuan Tsao, Ya‐Ping Hsieh, Yang‐Fang Chen, Hui‐Yu Chen   +3 more
wiley   +1 more source

Semantic Probabilistic Inference of Predictions

Известия Иркутского государственного университета: Серия "Математика", 2017
Prediction is one of the most important concepts in science. Predictions obtained from probabilistic knowledge, are described by an inductive-statistical inference (I-S inference).
E. E. Vityaev
doaj   +1 more source

Meta-analysis of the functional neuroimaging literature with probabilistic logic programming. [PDF]

Sci Rep, 2022
Abdallah M, Iovene V, Zanitti G, Wassermann D.   +3 more
europepmc   +1 more source

A Proof‐of‐Concept Assessment of a Novel Wearable Eyelid Muscle Device: A Pre‐Clinical Animal Cadaver Study for Eyelid Closure Restoration

Advanced Robotics Research, EarlyView.
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino, Phuoc Thien Phan, James Davies, Bibhu Sharma, Tianruo Guo, Chi Cong Nguyen, Nigel H. Lovell, Thanh Nho Do   +7 more
wiley   +1 more source

Hardware Implementation of Bayesian Decision‐Making with Memristors

Advanced Electronic Materials
Brains perform decision‐making by Bayes theorem – events are quantified as probabilities and based on probability rules, computed to render the decisions.
Lekai Song, Pengyu Liu, Yang Liu, Jingfang Pei, Wenyu Cui, Songwei Liu, Yingyi Wen, Teng Ma, Kong‐Pang Pun, Leonard W. T. Ng, Guohua Hu   +10 more
doaj   +1 more source

Modal Logic, Probability and Machine Learning Systems for Metadata Extraction

Ratio Mathematica
Artificial intelligence, since its inception, has had two major subfields, namely: logical reasoning and machine learning. Despite this, the interactions between these two fields have been relatively limited.
Simone Cuconato
doaj   +1 more source

Quantitative multi-objective verification for probabilistic systems [PDF]

, 2011
We present a verification framework for analysing multiple quantitative objectives of systems that exhibit both nondeterministic and stochastic behaviour.
Marta Kwiatkowska, Parker, D., Qu, H., Hongyang Qu, Forejt, Vojtech, Norman, G., Norman, G, Forejt, V., Vojtěch Forejt, Parker, D, Kwiatkowska, MZ, Kwiatkowska, M., David Parker, Leino, KRM, Qu, H, Gethin Norman, Forejt, V, Abdulla, PA   +17 more
core   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

From Potential to Actual Knowledge: A New Framework in Probabilistic Epistemic Logic

Studies in Logic, Grammar and Rhetoric
In this paper we address the issue of improbable knowledge within probabilistic epistemic logic. This problem occurs when an agent possesses knowledge of a certain proposition despite the evidential probability of that knowledge being exceedingly low ...
Wójcik Arkadiusz
doaj   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source