Schlom elected to National Academy of Sciences

An AI-MI–supported study proposes a new architecture for language models that externalizes factual knowledge to a knowledge base rather than storing it in model weights. “Co-LMLM: Continuous-Query Limited Memory Language Models” by Yair Feldman, Linxi Zhao, Nathan...

An AI-MI–supported study proposes that standard Transformers overload a single computation stream to both predict the next token and store state for future tokens—and that disentangling these roles yields more efficient, higher-performing models. Giovanni Monea,...