Latest 2022 Updates: December Spotlight
Top Articles Published by TDS in 2022 Delight Readers and Experts Alike
The Technology and Design Society (TDS) has been a hub of fascinating discussions and insights this year, covering a wide range of topics from AI to open-source projects. Here are some of the most captivating articles that have caught the attention of readers and experts alike.
Nico Westerbeck's account of collaborating on an AI-generated opera was found fascinating by Ben Huberman, Editor in Chief, highlighting the potential of AI in creative fields. Aisulu Omar wrote about the importance of representation within data itself, the workplace, and how the two are connected, emphasising the need for diversity in technology.
Ben Huberman also highlighted posts exploring the implications of generative AI on creativity and originality, while Javier Ideami focused on issues surrounding visual artifacts and shared a passionate manifesto for an ethical and sustainable future for human creators.
Caitlin Kindig enjoyed a report of a fifth grader's science fair project on optimizing garbage routes in order to reduce litter in her city, demonstrating the power of innovation at all levels. Sara A. Metwalli, Volunteer Editorial Associate, co-authored an article explaining how AI can transform education, providing a glimpse into the future of learning.
Anna Rogers wrote a sharp analysis of the problem of attribution in AI-generated text, addressing a crucial issue in the digital age. Adrienne Kline was interviewed about her multidisciplinary career, bridging medicine, machine learning, and engineering, offering inspiration to those pursuing diverse paths.
Pavle Marinkovic's post on sonification was another favourite of Katherine Prairie, focusing on listening to an image. Carlos Mougan, Volunteer Editorial Associate, appreciated the Margaret Mitchell TDS Podcast episode discussing "Fractal Fairness", a novel concept for ethical AI.
In architecture, Karen Asmar's post introduced the use of AI in architectural software tools, potentially injecting new possibilities into the design process. Monica P.'s post discussed the necessity of having a large and diverse dataset in order to address the skin tones of folks using technology every day.
If you would like to publish your work with TDS, they would love to hear from you. Among November's most-read posts were "Meet Julia: The Future of Data Science" by Natassha Selvaraj, "The No-Code Pandas Alternative That Data Scientists Have Been Waiting For" by Avi Chawla, and "Machine Learning Algorithms Cheat Sheet" by Rebecca Vickery.
Fraser King's article uses a deep convolutional neural network model, DeepPrecip, to estimate precipitation through near-surface radar in a post focused on snowfall modelling. LeAnne Chan's post on game theory and its potential impact on supermarket queues was recommended as a fun read. Julia Turc was featured in a conversation discussing her career path in natural language processing and the future of multimodal machine learning.
As we bid farewell to 2022, the TDS team selected a personal selection of wonderful articles that stayed with them throughout the year. Ludovic Benistant chose an article by Samuel Flender that examines why models that might look good on paper don't necessarily perform well once they are in production.
With a new year upon us, TDS looks forward to continuing to bring you insightful and engaging content. Stay tuned for more exciting discussions and discoveries in 2023!
- The collaboration between Nico Westerbeck and AI in generating an opera showcased the potential of AI in creative fields (science and technology).
- Aisulu Omar's discussion on representation within data and the workplace highlighted the need for diversity in data-and-cloud-computing and technology.
