Calculating an Air Quality Index (AQI) typically uses data streams from air quality sensors deployed at fixed locations and the calculation is a real time process. If one or a number of sensors are broken or offline, then the real time AQI value cannot be computed. Estimating AQI values for some point in the future is a predictive process and uses historical AQI values to train and build models. In this work we focus on gap filling in air quality data where the task is to predict the AQI at 1, 5 and 7 days into the future. The scenario is where one or a number of air, weather and traffic sensors are offline and explores prediction accuracy under such situations. The work is part of the MediaEval'2022 Urban Air: Urban Life and Air Pollution task submitted by the DCU-Insight-AQ team and uses multimodal and crossmodal data consisting of AQI, weather and CCTV traffic images for air pollution prediction.

Information and communication technologies are rapidly changing and transforming the citizens' urban life, culture, and habits. Today, cities are lively, active, productive, and innovative, but, at the same time, cities face many problems, such as high density, traffic, waste, water and air pollution, unplanned urbanization, etc. Public and local administrations have focused on finding solutions to these problems and developing new strategies. According to the United Nations' World Population Prospects 2022 most recent forecasts, the world population might reach 8.5 billion in 2030, 9.7 billion in 2050, and 10.4 billion in 2100. By 2050, it is estimated that 68% of the world's population will live in cities. There are many different definitions of smart cities.

That is a topic researchers at Stanford University have set out to shed some light on, with the release of the first in a series of reports in the One Hundred Year Study on Artificial Intelligence. This ambitious long-term study, known as AI100 was the brainchild of Eric Horvitz, Stanford alumnus and now managing director of the Microsoft Research lab in Redmond. Drawing on the knowledge of interdisciplinary research academics, the aim of AI100 is to give a better understanding of the potential impact of AI over the longer term. Importantly, the study is not meant to offer solutions, but rather to start a discussion centering on the best ways that AI can work for the benefit of society. Artificial Intelligence and Life in 2030 is the product of the first of a century long chain of standing committees working together over the period of the study.

Lamp lighters once performed a vital service for Londoners. Every evening as dusk fell they lit the gas lamps that illuminated the city's shadowy streets, returning just before dawn to extinguish the flames. It was a respectable job, often passed from father to son. But, apart from the small band of British Gas engineers who maintain the 1,500 gas lamps still clustered around the royal parks, Westminster and Covent Garden, lamp lighters are now a thing of the past, their jobs snuffed out by automated timers and electricity. The lamp lighters are part of a wider narrative that shapes every city: technological change. Scientific advances and new technologies often enable dramatic improvements in public services and urban life, eradicating some jobs while creating new types of employment.

The report investigates eight areas of human activity in which AI technologies are already beginning to affect urban life, in ways that will become increasingly pervasive and profound by 2030. The 28,000-word study includes a glossary to help non-technical readers understand new AI applications – such as how computer vision might help screen tissue samples for cancers, for example, or how natural language processing will enable computers to grasp not simply the literal definitions, but the connotations and intent, behind words.

Artificial intelligence (AI) has already transformed our lives--from the autonomous cars on the roads to the robotic vacuums and smart thermostats in our homes. Over the next 15 years, AI technologies will continue to make inroads in nearly every area of our lives, from education to entertainment, health care to security. The question is, are we ready? Do we have the answers to the legal and ethical quandaries that will certainly arise from the increasing integration of AI into our daily lives? Are we even asking the right questions? Now, a panel of academics and industry thinkers has looked ahead to 2030 to forecast how advances in AI might affect life in a typical North American city and spark discussion about how to ensure the safe, fair, and beneficial development of these rapidly developing technologies.

Specialized robots that clean and provide security, robot-assisted surgery, natural language processing-augmented instruction, and helping people adapt as old jobs are lost and new ones are created: these are some of the profound challenges explored by a panel of academic and industrial thinkers that has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city. Titled "Artificial Intelligence and Life in 2030," this open-access year-long investigation is the first product of the One Hundred Year Study on Artificial Intelligence (AI100), an ongoing project hosted by Stanford University to inform society and provide guidance on the ethical development of smart software, sensors and machines. The new report traces its roots to a 2009 study by AI scientists in 2014, when Eric and Mary Horvitz created the AI100 endowment through Stanford. The 28,000-word report includes a glossary to help nontechnical readers understand how AI applications such as computer vision might help screen tissue samples for cancers or how natural language processing will allow computerized systems to grasp not simply the literal definitions, but the connotations and intent, behind words. "Currently in the United States, at least sixteen separate agencies govern sectors of the economy related to AI technologies," the researchers write.

A panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city – in areas as diverse as transportation, health care and education - and to spur discussion about how to ensure the safe, fair and beneficial development of these rapidly emerging technologies. Titled "Artificial Intelligence and Life in 2030," this year-long investigation is the first product of the One Hundred Year Study on Artificial Intelligence (AI100), an ongoing project hosted by Stanford to inform societal deliberation and provide guidance on the ethical development of smart software, sensors and machines. "We believe specialized AI applications will become both increasingly common and more useful by 2030, improving our economy and quality of life," said Peter Stone, a computer scientist at the University of Texas at Austin and chair of the 17-member panel of international experts. "But this technology will also create profound challenges, affecting jobs and incomes and other issues that we should begin addressing now to ensure that the benefits of AI are broadly shared." The new report traces its roots to a 2009 study that brought AI scientists together in a process of introspection that became ongoing in 2014, when Eric and Mary Horvitz created the AI100 endowment through Stanford.

A panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city - in areas as diverse as transportation, health care and education--and to spur discussion about how to ensure the safe, fair and beneficial development of these rapidly emerging technologies. Titled "Artificial Intelligence and Life in 2030," this year-long investigation is the first product of the One Hundred Year Study on Artificial Intelligence (AI100), an ongoing project hosted by Stanford to inform societal deliberation and provide guidance on the ethical development of smart software, sensors and machines. "We believe specialized AI applications will become both increasingly common and more useful by 2030, improving our economy and quality of life," said Peter Stone, a computer scientist at the University of Texas at Austin and chair of the 17-member panel of international experts. "But this technology will also create profound challenges, affecting jobs and incomes and other issues that we should begin addressing now to ensure that the benefits of AI are broadly shared." The new report traces its roots to a 2009 study that brought AI scientists together in a process of introspection that became ongoing in 2014, when Eric and Mary Horvitz created the AI100 endowment through Stanford.

A panel of academic and industrial thinkers has looked ahead to 2030 to forecast how advances in artificial intelligence (AI) might affect life in a typical North American city – in areas as diverse as transportation, health care and education – and to spur discussion about how to ensure the safe, fair and beneficial development of these rapidly emerging technologies. Titled "Artificial Intelligence and Life in 2030," this year-long investigation is the first product of the One Hundred Year Study on Artificial Intelligence (AI100), an ongoing project hosted by Stanford to inform societal deliberation and provide guidance on the ethical development of smart software, sensors and machines. "We believe specialized AI applications will become both increasingly common and more useful by 2030, improving our economy and quality of life," said Peter Stone, a computer scientist at the University of Texas at Austin and chair of the 17-member panel of international experts. "But this technology will also create profound challenges, affecting jobs and incomes and other issues that we should begin addressing now to ensure that the benefits of AI are broadly shared." The new report traces its roots to a 2009 study that brought AI scientists together in a process of introspection that became ongoing in 2014, when Eric and Mary Horvitz created the AI100 endowment through Stanford.