首页|Research from Anhui University in the Area of Artificial Intelligence Described (Parallel Driving with Big Models and Foundation Intelligence in Cyber-Physical- Social Spaces)

Research from Anhui University in the Area of Artificial Intelligence Described (Parallel Driving with Big Models and Foundation Intelligence in Cyber-Physical- Social Spaces)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Hefei, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Recent year s have witnessed numerous technical breakthroughs in connected and autonomous ve hicles (CAVs).” Our news reporters obtained a quote from the research from Anhui University: “On the one hand, these breakthroughs have significantly advanced the development o f intelligent transportation systems (ITSs); on the other hand, these new traffi c participants introduce more complex and uncertain elements to ITSs from the so cial space. Digital twins (DTs) provide real-time, data-driven, precise modeling for constructing the digital mapping of physical-world ITSs. Meanwhile, the met averse integrates emerging technologies such as virtual reality/mixed reality, a rtificial intelligence, and DTs to model and explore how to realize improved sus tainability, increased efficiency, and enhanced safety. More recently, as a lead ing effort toward general artificial intelligence, the concept of foundation mod el was proposed and has achieved significant success, showing great potential to lay the cornerstone for diverse artificial intelligence applications across dif ferent domains. In this article, we explore the big models embodied foundation i ntelligence for parallel driving in cyber-physical-social spaces, which integrat e metaverse and DTs to construct a parallel training space for CAVs, and present a comprehensive elucidation of the crucial characteristics and operational mech anisms.”

Anhui UniversityHefeiPeople’s Republ ic of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine Learn ing

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.3)