The integration of artificial intelligence (AI) technology in the music industry is driving a significant change in the way music is being composed, produced and mixed. This study investigates the current state of AI in the mixing workflows and its adoption by different user groups. Through semi-structured interviews, a questionnaire-based study, and analyzing web forums, the study confirms three user groups comprising amateurs, pro-ams, and professionals. Our findings show that while AI mixing tools can simplify the process and provide decent results for amateurs, pro-ams seek precise control and customization options, while professionals desire control and customization options in addition to assistive and collaborative technologies. The study provides strategies for designing effective AI mixing tools for different user groups and outlines future directions.

We are a Finnish-based international New Space company with employees from more than 57 nationalities. Our team is a tight-knit group of experts from areas including engineering, software development, and radar technology. We're innovative, driven people who strive for excellence in everything we do. Being advocates of our corporate culture, we value teamwork and curiosity, and we know how to have fun! ICEYE is building and operating its commercial constellation of small Synthetic Aperture Radar (SAR) satellites with SAR data available to customers.

The City of Espoo in Finland is trialling a'smartbot' to provide information for citizens about Coronavirus (COVID-19). The city says the tool is smarter than a chatbot as it also understands free-form written language. "Questions to the smartbot do not need to be carefully formulated – if the smartbot cannot answer right away, it will soon learn," a statement explained. The application collects information from City of Espoo websites and other official online sources to answer the questions and will adapt responses accordingly as resources are updated. Citizens can interact anonymously and IP addresses are not stored.

The city of Espoo, Finland (second-largest city in the country) has been an early adopter and leader in digitizing government services. One of the really effective ways they have been testing the use of Artificial Intelligence (AI) is analyzing who is most using city services and why, so they can then model out potential early interventions and services that can reduce downstream costs and bad outcomes for citizens. This article outlines what Espoo is doing in this area in terms of managing all the data, doing the analysis, modeling the services, applying ethical approaches and protecting citizens' data privacy. I've been tracking Espoo for about six or seven years now, and they are clearly among the most sophisticated governments in the world in their approach to effective uses of technology, and AI specifically. I wanted to pass this along as the latest installment in what they are up to.

I'm excited to be at the Smart City Expo World Congress in Barcelona this week with my full leadership team from Western Europe. The purpose of the event is to bring people together to share information about how to empower cities and collectivize urban innovation across the globe, and it's been amazing to interact with many of the 33 partners from 15 countries who have joined us in our booth. By promoting social innovation, establishing partnerships, and identifying business opportunities, Smart City Expo can help create a better future for cities and their citizens worldwide. And I have to say…what a difference a year makes! I attended this event last year and it's remarkable to see how much progress has been made, particularly around the Internet of Things (IoT).

The City of Espoo has initiated a unique artificial intelligence experiment in collaboration with Tieto, a Finnish software and service company. The experiment involves combining a huge amount of social and health data concerning every Espoo resident, and customer data relating to early childhood education from 2002 to 2016. The aim of analysing this mass of data is to identify new pro-active means of targeting services to citizens, for example to prevent social exclusion. All data processing includes extreme measures regarding information security. Personal data, such as names, identity numbers and addresses are concealed already during data collection.

All data processing includes extreme measures regarding information security, and personal data, such as names, identity numbers and addresses are concealed already during data collection. Encryption is used for all data transmission. Public data has never previously been combined in the same way as in the experiment by Espoo and Tieto. The experiment is only possible thanks to the extremely precise public-sector information systems and high-quality data that exist in Finland. "The aim of the experiment is to combine information assets that had previously been separate in order to form customer and service pathways. We hope to find out whether artificial intelligence will enable us to identify residents who will need services at an earlier stage than we can now, while protecting the identities of individuals. In the future, it may be possible to allocate the city's resources more efficiently while improving the quality of life of individual residents, as they are offered preventive support," says Tomas Lehtinen, Project Manager, analyst at the Mayor's Office of the City of Espoo.