about.subtitle
This collection is dedicated to the interdisciplinary field where classical linguistics meets computational power. We view language not only as a means of communication, but as a complex data structure that can be formalized, decomposed into vectors, and reproduced through software. Gathered here are studies and articles analyzing how our perceptions of semantics and syntax shift when a machine becomes the interlocutor.
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.
Indian company Sarvam AI has open-sourced two large language models – 30B and 105B – with a focus on supporting the languages of India.
This article examines the accuracy of AI transcription for pharmaceutical names, identifies which models perform best, and explains the importance of this for medicine.
Voice AI agents can already do a lot, but they are still far from achieving full autonomy. Let's explore what elements are missing for the next step in their development.
Inception Labs has released Mercury 2, a new generation of diffusion language models that generate text in a fundamentally different way than the AI assistants we are accustomed to.
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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