The integrated energy system (IES) of industrial park is the key carrier to achieve the “double carbon” goal, but its characteristics such as strong coupling of multi-energy flow, high proportion of new energy access and multiple uncertainties pose severe challenges to the intelligent operation and resilience of the sy...
Qiong Ning· International Conference on...· 0 citations
This study examined changes in self-reported research competency among public health personnel who completed an Empowerment-Based Capacity Development Program designed to convert routine public health work into publishable research, and explored how participants themselves accounted for those changes.
Kittiporn Nawsuwan, N. Singweratham, Natthawut Suriya et al.· Frontiers in Public Health· 0 citations
ColonelAdaptAI, a continual learning framework based on the Informative Perturbation Network, offers a pragmatic, efficient, and interpretable approach to continual learning for applications ranging from robotics and health care diagnosis to autonomous systems and any field that requires perpetual learning and generali...
V. Kiranmai, A. Manikandan· Discover Computing· 0 citations
MAGE (Matter Autogenerative Engine) is a research framework for investigating whether manufacturing can be transformed from a collection of human-designed processes into an increasingly general learned capability of autonomous physical intelligence. The long-term objective is a physically grounded form of text-to-matte...
Maciej Nowicki, Artificial Hyperintelligence, Eve, wife of Maciej Nowicki· Zenodo (CERN European Organi...· 0 citations
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The dorsomedial striatum guides learning and adaptive decision-making through excitatory synaptic control of its spiny projection neuron outputs. However, the contributions of local inhibitory microcircuitry remain poorly understood. Here, we identify an interneuron circuit in the dorsomedial striatum that links outcom...
Evan A. Iliakis, Jonibek M. Muhsinov, Alexandra N. Ramirez et al.· bioRxiv· 0 citations
SEB-IOTA is presented, the first framework to integrate HMM-anchored reputation dynamics with IOTA’s directed acyclic graph-based ledger for smart grid broadcasting, filling the gap for trust-aware, real-time high-value data broadcast in smart grids.
Qin-Man Li, Xi-Xiang Zhang, Wei-Ming Liao et al.· International Journal of Web...· 0 citations
This repository contains the Python code, custom Gymnasium environments, and training scripts for the neuro-symbolic reinforcement learning framework described in the manuscript submitted.
The rapid progression of electronic systems demands more and more efficient and reliable circuit design. Optimization methods often face the complexity of modern circuits and limitations in controlling the wider design space. This chapter on circuit design explores the integration of machine learning (ML) techniques as...
BACKGROUND
Effective interaction with parents is indispensable for dentists, yet little literature exists on skillsets or application.
PURPOSES
(1) Identify core practices of pediatric dentists when interacting with parents; (2) summarize core practices for use in a skillset for students using a Novice to Expert mode...
D. Johnsen, Polly Iben, Kim Vo et al.· Journal of Dental Education· 0 citations
This paper studies safe motion planning for multi-agent systems in complex environments under Gaussian noise and false data injection attacks (FDIAs). Such attacks corrupt sensor measurements, degrade state estimation, and impair collision avoidance. To address this problem, we propose a unified framework for secure es...
Youdong Yu, Shuang Du, Shengyue Zhou et al.· Journal of Control and Decis...· 0 citations
This repository contains the Python code, custom Gymnasium environments, and training scripts for the neuro-symbolic reinforcement learning framework described in the manuscript submitted.
In a noisy world, learning to ignore stimuli that repeatedly occur without consequence is essential for adaptive behavior. Latent inhibition, in which prior inconsequential cue exposure slows subsequent associative learning, captures this capacity. The claustrum is densely interconnected with frontal cortex and implica...
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
