首页|Loughborough University London Researcher Releases New Study Findings on Machine Learning (Novel Directions for Neuromorphic Machine Intelligence Guided by Func tional Connectivity: A Review)
Loughborough University London Researcher Releases New Study Findings on Machine Learning (Novel Directions for Neuromorphic Machine Intelligence Guided by Func tional Connectivity: A Review)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from London, United Kingdom , by NewsRx editors, the research stated, “As we move into the next stages of th e technological revolution, artificial intelligence (AI) that is explainable and sustainable is becoming a key goal for researchers across multiple domains.” Financial supporters for this research include Atract: A Trustworthy Robotic Aut onomous System To Support Casualty Triage. The news editors obtained a quote from the research from Loughborough University London: “Leveraging the concept of functional connectivity (FC) in the human br ain, this paper provides novel research directions for neuromorphic machine inte lligence (NMI) systems that are energy-efficient and humancompatible. This revi ew serves as an accessible review for multidisciplinary researchers introducing a range of concepts inspired by neuroscience and analogous machine learning rese arch. These include possibilities to facilitate network integration and segregat ion in artificial architectures, a novel learning representation framework inspi red by two FC networks utilised in human learning, and we explore the functional connectivity underlying task prioritisation in humans and propose a framework f or neuromorphic machines to improve their task-prioritisation and decision-makin g capabilities.”
Loughborough University LondonLondonUnited KingdomEuropeEmerging TechnologiesMachine IntelligenceMachine Lea rning
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