Teens use “algorithmic folklore” to crack TikTok’s black box
By Iretiolu Akinrinade & Joan Mukogosi | Despite the prevalence of strategic ignorance inside social media and gaming companies, today’s teen tech users have developed a number of creative and often hilarious strategies to make sure that they are seen, heard, and valued online.
Neverending Catalogue is a technical prototype which would create computer-generated bedrooms to act as an inspiration database, essentially taking on the role of an interior designer for you to consult at your leisure.
From Engineering ArchiTECHture | An exploration into how AI is used in architectural design hosted by AIxDesign member Mayur (who hosts amazing sessions like this on regular basis)!
Listen to this episode from This Study Shows on Spotify. AI has come a long way (it even named this episode) but what does it have to do with science communication? We find the line between the present and the future as we explore how AI will affect science communication, and how has it already taken hold, with Mara Pometti, lead data strategist at IBM, and Professor Charlie Beckett, lead of JournalismAI at the London School of Economics. We want to know what you think about This Study Shows! Take a short survey and help us make this podcast the best it can be.
An artistic research initiative seeking to make connections between the formats and collections of anatomical knowledge and investigations into the “anatomy” of computational learning and prediction processes, datasets and machine learning models by Joana Chicau and Jonathan Reus.
By Katherine Miller | A Stanford researcher advocates for clarity about the different types of interpretability and the contexts in which it is useful.
We call for collaborative practitioners in art, design and technology to explore Artificial Intelligence (AI) & Machine Learning (ML), data & networks.
The days of learning data science by passively consuming video lectures are over. Real learning takes place when a student’s hands are on the keyboard, writing code, working with data, and solving problems. If you agree, keep reading!
This interactive course dives into the fundamentals of artificial neural networks, from the basic frameworks to more modern techniques like adversarial models.
You’ll answer questions such as how a computer can distinguish between pictures of dogs and cats, and how it can learn to play great chess.
Using inspiration from the human brain and some linear algebra, you’ll gain an intuition for why these models work – not just a collection of formulas.
This course is ideal for students and professionals seeking a fundamental understanding of neural networks, or brushing up on basics.