RES.TLL-008 Social and Ethical Responsibilities of Computing (SERC), Fall 2022 by Shah, Julie, Kaiser, David

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16.412J / 6.834J Cognitive Robotics, Spring 2004 by Williams, Brian C., Roy, Nicholas

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Trust management for large-scale heterogeneous wireless sensor and actuator networks (I) by Ummeaiman Najmuddin Shakir

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Multimodal fusion for navigation of autonomous mobile robots using a deep learning method by Lee, Anthony Wen Hao

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AI Analytics for Carbon-Neutral City Planning: A Systematic Review of Applications by Cong, Cong, Page, Jessica, Kwak, Yoonshin, Deal, Brian, Kalantari, Zahra

“…Artificial intelligence (AI) has become a transformative force across various disciplines, including urban planning. …”
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Learning-enabled decision-making for autonomous driving: framework and methodology by Huang, Zhiyu

“…These modules work collaboratively to provide a unified solution for autonomous machine intelligence and can be learned individually or jointly from human driving data. …”
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Feminicide and counterdata production: Activist efforts to monitor and challenge gender-related violence by D'Ignazio, Catherine, Cruxên, Isadora, Suárez Val, Helena, Martinez Cuba, Angeles, García-Montes, Mariel, Fumega, Silvana, Suresh, Harini, So, Wonyoung

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Place identity: a generative AI’s perspective by Jang, Kee Moon, Chen, Junda, Kang, Yuhao, Kim, Junghwan, Lee, Jinhyung, Duarte, Fabio, Ratti, Carlo

“…The latest advancements in generative artificial intelligence (AI) models have enabled the creation of realistic representations learned from vast amounts of data. …”
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Cognizant multitasking in multiobjective multifactorial evolution : MO-MFEA-II by Bali, Kavitesh Kumar, Gupta, Abhishek, Ong, Yew-Soon, Tan, Puay Siew

“…Humans have the ability to identify recurring patterns in diverse situations encountered over a lifetime, constantly understanding relationships between tasks and efficiently solving them through knowledge reuse. …”
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Data fusion and missing data estimation in road networks by Foo, Her Yiow

“…This includes recovering low resolution large scale urban traffic data, predicting future traffic data and recovering missing traffic data using tensor methods which is essential for intelligence transport system (ITS) application. …”
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Building tomorrow's smart cities with 6G infrastructure technology by Singh, Sushil Kumar, Virdee, Bal Singh, Jadeja, Rajendrasinh, Tanwar, Sudeep, Khanna, Ashish

“…Coverage: The many academic areas covered in this publication include, but are not limited to: 6G Technology; Artificial Intelligence (AI); Blockchain; Cybersecurity; Edge Computing; Healthcare Delivery; Heritage Cities; Intelligent Infrastructure; Internet of Things (IoT); Privacy and Security; Smart Cities; Sustainability; Urban Living; Web3…”

Security Orchestration, Automation, and Response for Security Analysts : Learn the secrets of SOAR to improve MTTA and MTTR and strengthen your organization's security posture / by Kovacevic, Benjamin, author 656337, Packt Publishing (Online service) 656336

“…Next, you'll learn how SOAR works and what its benefits are, including optimized threat intelligence, incident response, and utilizing threat hunting in investigations. …”
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The political-economic risks of AI by Carvalho, J-P

“…It is possible that AI creates a superabundant world with unprecedented human freedom. In this essay, however, I will explore a tail risk in which human-level artificial general intelligence (AGI) radically concentrates the global economy, breaks democratic and egalitarian institutions, and tears the social fabric, collapsing human productivity. …”

HCI for Cybersecurity, Privacy and Trust : Third International Conference, HCI-CPT 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24-29... by HCI for Cybersecurity, Privacy and Trust (Conference) (3rd : 2021 : Online) 643239, Moallem, Abbas, editor 630807

AI and big data applications by May Thu Naing

“…AI is the concept of machines carrying out work requiring the completion of human intelligence. AI covers the research area generally; machine learning and deep learning are being sub-segments of AI. …”
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Deep hybrid model with satellite imagery: How to combine demand modeling and computer vision for travel behavior analysis? by Wang, Qingyi, Wang, Shenhao, Zheng, Yunhan, Lin, Hongzhou, Zhang, Xiaohu, Zhao, Jinhua, Walker, Joan

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Large Language Objects: The Design of Physical AI and Generative Experiences by Coelho, Marcelo, Labrune, Jean-Baptiste

“…These LLOs provide a glimpse at a new kind of creative process that weaves together the capabilities of human and artificial intelligence from the early stages of concept development through form-finding, fabrication, and interaction.…”
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Enhancing electricity consumption forecasting in limited dataset: A simple stacked ensemble approach incorporating simple linear and support vector regression for Malaysia by Chuan, Zun Liang, Shao Jie, Ong, Yim Hin, Tham, Siti Nur Syamimi, Mat Zain, Yunalis Amani, Abdul Rashid, Ainur Naseiha, Kamarudin

“…Rapid population growth and urbanization, coupled with technological advancements, have driven higher electricity demand, predominantly sourced from contributors to climate change. …”
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USN: a robust imitation learning method against diverse action noise by Yu, Xingrui, Han, Bo, Tsang, Ivor Wai-Hung

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Autonomised harming by Eggert, L

“…Second, the paper examines how potential differences between human agents and non-human, artificial agents might bear on the permissibility of delegating life-and death decisions to AI systems. …”