CMU Computational Biologists Harmonize Massive Genomic Datasets To Target Root Causes of Disease
From cs.cmu.edu
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Q&A: Building accountability behind our words — and AI’s — in civic conversations
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
Read more →Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings
For most languages of the world, language model pre-training operates in a data-constrained regime where models must repeat their training data many times, degrading generalization. Two remedies exist: aggressive hyperparameter tuning such as high weight decay, and mixing in…
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Simulating student learning for better AI tutoring
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post…
Read more →How distributed inference keeps large AI models moving
Distributed inference serving is an air traffic control tower for AI traffic, and agentic workflows make it more necessary than ever.
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Humans and AI Engage in Meaningful Collaborations
Analyzing thousands of human-AI conversations, a new study shows that people are turning to chatbots for increasingly critical tasks – and that productive outcomes depend on how the collaboration unfolds.
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