Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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AI Hardware

203 results for AI Hardware

Growth of AlSb/Sb Structures for Phase Change Memories via Molecular Beam Epitaxy
- - Haibo Gong
  - Vadim Tokranov
  - et al.
- 2023
- SISC 2023
Architecture and Programming of Analog In-Memory-Computing Accelerators for Deep Neural Networks
- - Sidney Tsai
  - Pritish Narayanan
  - et al.
- 2024
- IPDPS 2024
Devices, Circuits, and Architectures for Analog In-Memory Computing-Based Deep Neural Network Inference Hardware Acceleration
- - Irem Boybat-Kara
- 2024
- HiPEAC 2024
EMULATING SYNAPSES: BEOL Integration of ferroelectric tunnel junctions with synaptic functionality
- - Laura Bégon-Lours
  - Keerthana S. Nair
  - et al.
- 2023
- ESSDERC/ESSCIRC 2023
Emulating synaptic weights with thin films transistors based on ferroelectric hafnia
- - Donato Francesco Falcone
  - Laura Bégon-Lours
  - et al.
- 2023
- ESSDERC/ESSCIRC 2023
Physical modeling and design rules of analog Conductive Metal Oxide-HfO2 ReRAM
- - Donato Francesco Falcone
  - Stephan Menzel
  - et al.
- 2023
- IMW 2023
Hardware-aware Automated AI for Efficient Deep Learning across Hybrid Deployments: Current Landscape and Future Directions
- - Kaoutar El Maghraoui
- 2021
- ISPASS 2021
A Neuro-Vector-Symbolic Architecture for Data- and Compute-Efficient Continual Learning, Abstract Reasoning, and Combinatorial Inference
- - Abbas Rahimi
- 2023
- ES Week 2023
Small Signal Capacitance in Ferroelectric HZO: Mechanisms and Physical Insights
- - Revanth Kodoru
  - Atanu Saha
  - et al.
- 2024
- arXiv
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference
- - Manuel Le Gallo
  - Corey Liam Lammie
  - et al.
- 2023
- APL Mach. Learn.