about.subtitle
Working with information today requires more than just the skill of reading ready-made charts; it demands an understanding of the internal architecture of the datasets underpinning a researcher's conclusions. In this collection, we focus on the bedrock of any analysis – the data itself. We view data not as abstract figures, but as a complex product with its own author, context of origin, and inherent limitations.
Lab
Electrical Engineering & System Sciences
Researchers tested whether AI systems can comprehend real-world medical conversations – and the results delivered a harsh verdict for the entire industry.
Lab
Computer Science
How feminist principles and collaborative workshops are changing the approach to data annotation – and why it matters for fair AI.
LightOn has released EDiTh, an open-source benchmark that allows testing corporate search on realistic documents without the risk of leaking confidential data.
AI: Events
Development
The Photoroom team shares how they managed to train their own image generation model in just 24 hours and what the results were.
Researchers from Allen AI analyzed 250,000 queries to scientific AI tools to uncover how scientists genuinely interact with them in practice.
Lab
Computer Science
Researchers trained a language model on synthetic languages and found that AI learns some grammatical patterns intuitively, while others it seems to miss entirely.
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