
Volume 342, Issue 3 · 8 articles from 2 issues
IBM makes its Nighthawk r2 quantum processor broadly available via the cloud, claiming better quality and speed than r1. Read more
IBM and UChicago used 70 logical qubits to run a verifiable computation beyond classical reach in about 15 minutes. Read more
IBM explains how LLM watermarking works, where it is being mandated, and the limits of current detection schemes. Read more
StorageReview reports IBM and NASA open-sourced a lunar foundation model trained on two million tiles from nine instruments. Read more
IBM Think reports that arguments for slowing frontier AI are sharpening attention on software defects in AI systems. Read more
IBM looks at why AI systems improving their own successors moved from thought experiment to near-term research concern. Read more
IBM profiles Seckinger High School, where AI is taught across the curriculum instead of banned or ignored. Read more
IBM examines the practical mechanics and obstacles of any serious attempt to slow frontier AI development. Read more