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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 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
EvalAssist: Insights on Task-Specific Evaluations and AI-assisted Judgement Strategy Preferences
- - Zahra Ashktorab
  - Michael Desmond
  - et al.
- 2025
- UIST 2025
Conference paper
StructText: A Synthetic Table-to-Text Approach for Benchmark Generation with Multi-Dimensional Evaluation
- - Satyananda Kashyap
  - Sola Shirai
  - et al.
- 2025
- VLDB 2025
Workshop paper
A Near-DRAM Accelerator for Compiler-Generated Fully Homomorphic Encryption Applications
- - Alper Buyuktosunoglu
- 2025
- ISCA 2025
Workshop paper
Enterprise Class Modular Cache Hierarchy
- - Craig Walters
  - Deanna Berger
  - et al.
- 2025
- HPCA 2025
Conference paper

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