Results 51 to 60 of about 42,816 (266)
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
Reinforcement learning in robotics: A survey [PDF]
The International Journal of Robotics Research, 2013 Reinforcement learning offers to robotics a framework and set of tools for the design of sophisticated and hard-to-engineer behaviors. Conversely, the challenges of robotic problems provide both inspiration, impact, and validation for developments in reinforcement learning.
Jens Kober +2 more
openaire +3 more sources
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Evaluation of Vocal Communication in a Robot Collective
Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2020 In this research, we attempt to design a model in which multiple robots communicate with an artificial proto-language whose symbols are vocally encoded letters of the Morse alphabet.
Mehmet Dinçer Erbaş +1 more
doaj +1 more source
DeepClaw 2.0: A Data Collection Platform for Learning Human Manipulation
Frontiers in Robotics and AI, 2022 Besides direct interaction, human hands are also skilled at using tools to manipulate objects for typical life and work tasks. This paper proposes DeepClaw 2.0 as a low-cost, open-sourced data collection platform for learning human manipulation.
Haokun Wang +6 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Two-Stage Model-Agnostic Meta-Learning With Noise Mechanism for One-Shot Imitation
IEEE Access, 2020 Given that humans and animals can learn new behaviors in a short time by observing others, the question we need to consider is how to make robots behave like humans or animals, that is, through effective demonstration, robots can quickly understand and ...
Ziye Hu +5 more
doaj +1 more source
Multi-expert synthesis for versatile locomotion and manipulation skills
Frontiers in Robotics and AI, 2022 This work focuses on generating multiple coordinated motor skills for intelligent systems and studies a Multi-Expert Synthesis (MES) approach to achieve versatile robotic skills for locomotion and manipulation.
Kai Yuan, Kai Yuan, Zhibin Li
doaj +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Elastic Tactile Sensor Skin on Double-Curved Surfaces for Robots and Wearables
IEEE Access, 2022 Tactile perception is an important modality for dexterous manipulation, but faces unique challenges in that the sensor has to wrap around the system. Biological skin solves these problems extremely well. Not only can it detect contacts, but it also grows
Philipp Ruppel +2 more
doaj +1 more source