Waterloo-Kitchener▫️Moda Condos
地理位置：University Ave & Erb St
知名开发商：Urban Legend Developments
社区周围：近Waterloo大学，大统华超市，沃尔玛超市，高尔夫球场，大型运动场，各国美味餐厅，咖啡店，LCBO，公园，生活非常便利
一室一厅 ➕ 一个洗手间 ➕ 阳台 ➕ 一个车位
面积：500平方尺，朝南
价格：$49万，相当合适，租赁需求旺盛
随时入住
感兴趣的朋友，与Jacy了解更多
地理位置：University Ave & Erb St
知名开发商：Urban Legend Developments
社区周围：近Waterloo大学，大统华超市，沃尔玛超市，高尔夫球场，大型运动场，各国美味餐厅，咖啡店，LCBO，公园，生活非常便利
一室一厅 ➕ 一个洗手间 ➕ 阳台 ➕ 一个车位
面积：500平方尺，朝南
价格：$49万，相当合适，租赁需求旺盛
随时入住
感兴趣的朋友，与Jacy了解更多
#香港理工大学[超话]# 捡漏 香港理工大学 港理 PolyU 24fall 新开
X+Tech（大热方向，港三新二陆续有新开）:
Quantitative Finance and FinTech量化金融与金融科技
Generative AI and the Humanities生成式人工智能与人文科学-Language and Communication语言与沟通方向，Arts and Culture艺术与文化方向
Medical Data Science医疗数据科学
Smart Manufacturing智能制造
Intelligent Construction智能建造
Intelligent Wearable Technology智能可穿戴技术
X+ESG（大热方向，港三新二陆续有新开）：
Sustainable Fashion and Innovation可持续时装与创新
Carbon Neutral Cities and Urban Sustainability碳中和城市及可持续性
Electric Vehicles电动汽车
Microelectronics and Quantum Systems Engineering 微电子与量子系统工程
医疗：
Medical Imaging医疗影像
Medical Laboratory Science医疗化验科学
Nutrition and Health Ageing(Nutrition in Practice)营养与健康活龄（营养学实践）
Medical Data Science医疗数据科学
Biopharmaceutical Development and Commercialization生物医药研发与商业化
多媒体：
Innovative Multimedia Entertainment多媒体创娱
时尚奢侈品：
Sustainable Fashion and Innovation可持续时装与创新
Luxury Experiences Management豪华体验管理
Innovation and Entrepreneurship in Hospitality酒店业创新与创业
港理整体语言要求不高 文书要求也相对简单 2023年11月16日早鸟轮已过 所有项目最终截止日期2024年4月30日 依旧可以冲
X+Tech（大热方向，港三新二陆续有新开）:
Quantitative Finance and FinTech量化金融与金融科技
Generative AI and the Humanities生成式人工智能与人文科学-Language and Communication语言与沟通方向，Arts and Culture艺术与文化方向
Medical Data Science医疗数据科学
Smart Manufacturing智能制造
Intelligent Construction智能建造
Intelligent Wearable Technology智能可穿戴技术
X+ESG（大热方向，港三新二陆续有新开）：
Sustainable Fashion and Innovation可持续时装与创新
Carbon Neutral Cities and Urban Sustainability碳中和城市及可持续性
Electric Vehicles电动汽车
Microelectronics and Quantum Systems Engineering 微电子与量子系统工程
医疗：
Medical Imaging医疗影像
Medical Laboratory Science医疗化验科学
Nutrition and Health Ageing(Nutrition in Practice)营养与健康活龄（营养学实践）
Medical Data Science医疗数据科学
Biopharmaceutical Development and Commercialization生物医药研发与商业化
多媒体：
Innovative Multimedia Entertainment多媒体创娱
时尚奢侈品：
Sustainable Fashion and Innovation可持续时装与创新
Luxury Experiences Management豪华体验管理
Innovation and Entrepreneurship in Hospitality酒店业创新与创业
港理整体语言要求不高 文书要求也相对简单 2023年11月16日早鸟轮已过 所有项目最终截止日期2024年4月30日 依旧可以冲
GUIHUA Weekly 2406 | Emerging Technology
Brains of Society
As cities worldwide grapple with unprecedented challenges, from rapid urbanization to environmental sustainability, the limitations of traditional, centralized AI systems—dubbed "City Brain"—become increasingly apparent. The "Society Brains" model proposed in this paper marks a significant paradigm shift, advocating for a distributed, collective intelligence approach that leverages the interconnectedness and collaborative potential of urban populations.
In this issue, we present our most recent article, titled "Society Brains: Theoretical Model and Key Issues," examines the limitations of the "City Brain" concept in addressing modern urban challenges, advocating for a shift towards a "Society Brains" model.
It identifies four main technical challenges faced by the City Brain system and proposes the Society Brains model as a solution. This new model is based on collective intelligence, aiming to overcome the limitations of the single-brain system through a new AI model that emphasizes the collective learning of intelligent individuals. The paper discusses nine key issues related to the Society Brains model, including its origin, decision-making structure, function allocation, digital simulation, iterative development, and governance. It highlights the potential of Society Brains to advance the development of smart cities by fostering a more complex, dynamic, and interconnected approach to urban management and decision-making.
This article by us presents an innovative perspective on urban development, emphasizing the need for a shift from centralized, AI-driven models to a more distributed, collective intelligence approach. The authors convincingly argue that the complexity of urban challenges requires the integration of diverse data sources, decision-making processes, and learning mechanisms, which can only be achieved through the Society Brains model. They provide a comprehensive framework for understanding how such a model could function in practice, including its potential to enhance responsiveness, inclusivity, and sustainability in urban management. The discussion on governance and ethical considerations underlines the importance of transparency and public participation in the deployment of advanced technologies in urban contexts. This paper contributes significantly to the discourse on smart cities, offering valuable insights into the future of urban innovation and the role of artificial intelligence in achieving more adaptable and resilient urban systems.
Source
https://t.cn/A6YfegML
Brains of Society
As cities worldwide grapple with unprecedented challenges, from rapid urbanization to environmental sustainability, the limitations of traditional, centralized AI systems—dubbed "City Brain"—become increasingly apparent. The "Society Brains" model proposed in this paper marks a significant paradigm shift, advocating for a distributed, collective intelligence approach that leverages the interconnectedness and collaborative potential of urban populations.
In this issue, we present our most recent article, titled "Society Brains: Theoretical Model and Key Issues," examines the limitations of the "City Brain" concept in addressing modern urban challenges, advocating for a shift towards a "Society Brains" model.
It identifies four main technical challenges faced by the City Brain system and proposes the Society Brains model as a solution. This new model is based on collective intelligence, aiming to overcome the limitations of the single-brain system through a new AI model that emphasizes the collective learning of intelligent individuals. The paper discusses nine key issues related to the Society Brains model, including its origin, decision-making structure, function allocation, digital simulation, iterative development, and governance. It highlights the potential of Society Brains to advance the development of smart cities by fostering a more complex, dynamic, and interconnected approach to urban management and decision-making.
This article by us presents an innovative perspective on urban development, emphasizing the need for a shift from centralized, AI-driven models to a more distributed, collective intelligence approach. The authors convincingly argue that the complexity of urban challenges requires the integration of diverse data sources, decision-making processes, and learning mechanisms, which can only be achieved through the Society Brains model. They provide a comprehensive framework for understanding how such a model could function in practice, including its potential to enhance responsiveness, inclusivity, and sustainability in urban management. The discussion on governance and ethical considerations underlines the importance of transparency and public participation in the deployment of advanced technologies in urban contexts. This paper contributes significantly to the discourse on smart cities, offering valuable insights into the future of urban innovation and the role of artificial intelligence in achieving more adaptable and resilient urban systems.
Source
https://t.cn/A6YfegML
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