AIMC Topic: Goals

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High-level visual processing in the lateral geniculate nucleus revealed using goal-driven deep learning.

Journal of neuroscience methods Mar 21, 2025
BACKGROUND: The Lateral Geniculate Nucleus (LGN) is an essential contributor to high-level visual processing despite being an early subcortical area in the visual system. Current LGN computational models focus on its basic properties, with less empha...
Neural Networks, Computer Animals Deep Learning Geniculate Bodies Visual Perception Visual Pathways Mice Models, Neurological Goals
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Sustainable visions: unsupervised machine learning insights on global development goals.

PloS one Mar 12, 2025
The 2030 Agenda for Sustainable Development of the United Nations outlines 17 goals for countries of the world to address global challenges in their development. However, the progress of countries towards these goal has been slower than expected and,...
Unsupervised Machine Learning Goals Sustainable Development Humans Machine Learning Socioeconomic Factors United Nations
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Finding purpose: Integrated latent profile and machine learning analyses identify purpose in life as an important predictor of high-functioning recovery after alcohol treatment.

Addictive behaviors Feb 25, 2025
BACKGROUND: Recent investigations of recovery from alcohol use disorder (AUD) have distinguished subgroups of high and low functioning recovery in data from randomized controlled trials of behavioral treatments for AUD. Analyses considered various in...
Goals Alcoholism Male Middle Aged Machine Learning Depression Female Treatment Outcome Adult Personal Satisfaction Humans
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Effectiveness of Machine Learning-Based Adjustments to an eHealth Intervention Targeting Mild Alcohol Use.

European addiction research Dec 20, 2024
INTRODUCTION: This study aimed to evaluate effects of three machine learning based adjustments made to an eHealth intervention for mild alcohol use disorder, regarding (a) early dropout, (b) participation duration, and (c) success in reaching persona...
Telemedicine Goals Alcoholism Middle Aged Cohort Studies Machine Learning Female Young Adult Adult Male Humans
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Highly valued subgoal generation for efficient goal-conditioned reinforcement learning.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2024
Goal-conditioned reinforcement learning is widely used in robot control, manipulating the robot to accomplish specific tasks by maximizing accumulated rewards. However, the useful reward signal is only received when the desired goal is reached, leadi...
Humans Neural Networks, Computer Algorithms Learning Goals Reinforcement, Psychology Robotics Reward
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Quo vadis, planning?

The Behavioral and brain sciences Sep 23, 2024
Deep meta-learning is the driving force behind advances in contemporary AI research, and a promising theory of flexible cognition in natural intelligence. We agree with Binz et al. that many supposedly "model-based" behaviours may be better explained...
Goals Problem Solving Artificial Intelligence Learning Cognition Humans
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ChatGPT: Literate or intelligent about UN sustainable development goals?

PloS one Apr 24, 2024
Generative AI tools, such as ChatGPT, are progressively transforming numerous sectors, demonstrating a capacity to impact human life dramatically. This research seeks to evaluate the UN Sustainable Development Goals (SDGs) literacy of ChatGPT, which ...
Literacy United Nations Goals Sustainable Development Humans Artificial Intelligence Surveys and Questionnaires Intelligence
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Effect of different targets of goal-directed fluid therapy on intraoperative hypotension and fluid infusion in robot-assisted laparoscopic gynecological surgery: a randomized non-inferiority trial.

Journal of robotic surgery Mar 16, 2024
Carotid corrected flow time (FTc) and tidal volume challenge pulse pressure variation (VtPPV) are useful clinical parameters for assessing volume status and fluid responsiveness in robot-assisted surgery, but their usefulness as goal-directed fluid t...
Robotic Surgical Procedures Nitrogen Hypotension Goals Urea Robotics Fluid Therapy Laparoscopy Prospective Studies Female Gynecologic Surgical Procedures Humans
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A machine learning approach to assess Sustainable Development Goals food performances: The Italian case.

PloS one Jan 2, 2024
In this study, we introduce an innovative application of clustering algorithms to assess and appraise Italy's alignment with respect to the Sustainable Development Goals (SDGs), focusing on those related to climate change and the agrifood market. Spe...
Machine Learning Goals Surveys and Questionnaires Sustainable Development Europe Climate Change
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Neural networks, AI, and the goals of modeling.

The Behavioral and brain sciences Dec 6, 2023
Deep neural networks (DNNs) have found many useful applications in recent years. Of particular interest have been those instances where their successes imitate human cognition and many consider artificial intelligences to offer a lens for understandi...
Goals Artificial Intelligence Cognition Intelligence Humans Neural Networks, Computer
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