Protections, productivity and pleasure in the smart home & Alternative avenues for IoT

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1) paper by Yolande Strengers, Jenny Kennedy, Paula Arcari, Larissa Nicholls, Melissa Gregg on Protection, Productivity and Pleasure in the Smart Home: Emerging Expectations and Gendered Insights from Australian Early Adopters 2) paper by Audrey Desjardins, Jeremy E. Viny, Cayla Key, and Nouela Johnston on Alternative Avenues for IoT: Designing with Non-Stereotypical Homes

Technology

Protections, productivity and pleasure in the smart home & Alternative avenues for IoT

Presented by Vladimir Iglovikov: - https://www.linkedin.com/in/iglovikov/ - https://x.com/viglovikov - https://www.instagram.com/ternaus/ This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation. Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners. This case study covers various aspects, including: People: The contributors and community that have supported Albumentations. Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions. Challenges: The hurdles in monetizing open-source projects and measuring user engagement. Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration. Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community. Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations. Mental Health: Maintaining balance and not feeling pressured by user demands. Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth. Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects. Explore more about Albumentations and join the community at: GitHub: https://github.com/albumentations-team/albumentations Website: https://albumentations.ai/ LinkedIn: https://www.linkedin.com/company/100504475 Twitter: https://x.com/albumentations

みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...

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