首页|Studies from Shanghai Jiao Tong University in the Area of ArtificialIntelligenc e Reported (Next-generation Generalist Energy ArtificialIntelligence for Naviga ting Smart Energy)
Studies from Shanghai Jiao Tong University in the Area of ArtificialIntelligenc e Reported (Next-generation Generalist Energy ArtificialIntelligence for Naviga ting Smart Energy)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Artificial In telligence have been published. According to newsoriginating from Shanghai, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Therapid a dvancement of highly flexible and reliable artificial intelligence (AI) holds th e promise of unlockingtransformative capabilities in response to imminent energ y and environmental challenges. Toward futureenergy, we propose this perspectiv e and introduce a groundbreaking paradigm for a versatile energy AI,termed arti ficial general intelligence for energy (AGIE).”Financial supporters for this research include National Natural Science Foundati on of China (NSFC),National Key R&D Program of China.Our news journalists obtained a quote from the research from Shanghai Jiao Tong University, “AGIE isdesigned to address a spectrum of energy-related issues wit h flexibility, drawing upon information such asenergy parameters, equipment ima ges, and expert voice feedback. The applications of AGIE are diverse,ranging fr om energy diagnostics and operational optimization to offering advice on energy policies. Byincorporating human-in-the-loop interactions and leveraging domain knowledge, AGIE has the capacity toassimilate the habits of energy users. Throu gh continuous reinforcement learning, it aspires to establisha new paradigm of explainable reasoning, paving the way for the development of credible energy rob otswith attributes similar to human understanding. We anticipate that AGIE-enab led applications will lead tonew approaches in energy usage and the considerati on of serious technical and societal challenges rangingfrom data integration to privacy and security concerns, environmental impacts, and constraints in hardware and software.”
ShanghaiPeople’s Republic of ChinaAs iaArtificial IntelligenceEmerging TechnologiesMachine LearningShanghai J iao Tong University
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