ai-research is the sole category represented across all 1 tracked stories. IBM is the most frequent co-covered peer, appearing in 1 of the 1 tracked story. Source depth averages 3 original sources per story, versus 7.7 across the same-window beat baseline.
Figures are computed live from our source-verified story record
— see our methodology for how impact and
sentiment are derived.
What the coverage shows about 0.7nm chip / sub-1nm chip
ai-research is the sole category represented across all 1 tracked stories. IBM is the most frequent co-covered peer, appearing in 1 of the 1 tracked story. Source depth averages 3 original sources per story, versus 7.7 across the same-window beat baseline. Their average consequence score of 9 runs above the beat's 6.5 for that window. We currently track 1 AI story that mention 0.7nm chip / sub-1nm chip, all published on June 28, 2026.
Stories tracked
1
Sources per story
3
Computed from the 1 stories linked to this entity, with beat comparisons drawn from all 38 AI stories published in the same date window. Shares are omitted below five stories and comparisons below a twenty-story baseline.
Coverage cohort
Appears alongside
Other entities that clear the same relevance threshold in stories also covering 0.7nm chip / sub-1nm chip. Shared-story counts are live from our verified record — not editorial picks.
IBM's sub-1nm chip with 100 billion transistors offers up to 50% higher performance, directly accelerating training and inference for large-scale generative AI models.