Artificial intelligence×Crossbar switch
This pair ranks in the top 0.5% of every collision candidate in the corpus. Across held-out years, pairs scoring that well went on to co-publish at 8.5× the base rate, typically within 2 years.
The Frontier Brief for this collision is still being written. The evidence below already reflects the current model run.
Pre-company space. No named players have staked this collision yet — an emerging pairing where the field, not a firm, is the story so far.
82 researchers publish on both sides of this collision without the fields themselves having met. Every name below is counted from papers in the corpus — not inferred.
- Qiangfei XiaPolitecnico di Milano7/5
- Dmitri B. StrukovMassachusetts Institute of Technology6/5
- J. Joshua YangTorrington Hospital5/5
- John Paul StrachanStanford University5/4
- Hao JiangNational Institute of Standards and Technology5/4
- Can LiUniversity of Pittsburgh5/4
- Miao HuTexas A&M University5/4
- Zhongrui WangInstitute for Basic Science6/3
- Peng LinMaterial Measurement Laboratory4/4
- Huaqiang WuTsinghua University7/2
- Stanford UniversityUS279/17
- Massachusetts Institute of TechnologyUS193/22
- Tsinghua UniversityCN161/16
- Chinese Academy of SciencesCN160/14
- Peking UniversityCN95/23
- University of Southern CaliforniaUS134/14
- Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine2018 · 746 citations · DOI ↗2
- Memristive crossbar arrays for brain-inspired computing2019 · 1,740 citations · DOI ↗1
- Long short-term memory networks in memristor crossbar arrays2018 · 395 citations · DOI ↗1
- Rescuing Memristor-based Neuromorphic Design with High Defects2017 · 259 citations · DOI ↗1
Counted from the corpus. Institution counts use best-effort affiliation (every author on a paper is paired with every institution on it), so read them as presence, not headcount.
A premium Deep-Dive is being generated for this collision — check back soon.