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Foundational Hardware Technology

AI has the potential to solve some of the biggest challenges facing myriad industries. At IBM Research, we’re working on semiconductor innovations for the hybrid cloud and AI — foundational hardware technology that we can use to build the next generation of chips to solve those challenges.

Publications

Enterprise-Scale RAS in IBM Z Memory Subsystem
- - Pat Meaney
  - None None
  - et al.
- 2026
- DSN 2026
Conference paper
VSIMO: A DC-DC SIMO-based Current Mismatch Compensator Supporting Per-Output Bidirectional Power Flow for Stacked Voltage Domains Achieving >82% System Efficiency under up to 360-mA Load Mismatch
- - Yichen Xu
  - Baoqi Zhu
  - et al.
- 2026
- VLSI Technology and Circuits 2026
Conference paper
A 1-to-1050-mA DLDO with Rising-Edge Computational Control and Load-Dependent Feedback Achieving 46-mV/ns DVS Rate and 0.15-ps FoM
- - Yichen Xu
  - Mao Li
  - et al.
- 2026
- VLSI Technology and Circuits 2026
Conference paper
Unsupervised Cycle Detection in Agentic Applications
- - Felix George
  - Divya Pathak
  - et al.
- 2026
- ICPE 2026
Short paper
Enterprise Class On-Chip Accelerator Integration
- - Deanna Berger
  - Alper Buyuktosunoglu
  - et al.
- 2026
- HPCA 2026
Conference paper
MegaCoin: Enhancing Medium-Grained Color Perception for Vision-Language Models
- - Ming-chang Chiu
  - Shicheng Wen
  - et al.
- 2026
- AAAI 2026
Conference paper

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