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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Machine Learning

1328 results for Machine Learning

Signatures of energy dissipation in bacterial chemotaxis signaling pathways
- - Qiwei Yu
  - David Hathcock
  - et al.
- 2024
- APS March Meeting 2024
ChemChat | Conversational Expert Assistant in Material Science and Data Visualization
- - Tim Erdmann
  - Sarath Swaminathan
  - et al.
- 2024
- APS March Meeting 2024
In-silico Polymer Generation using fine-tuned Regression Transformers with Open Reference Data
- - Ronaldo Giro
  - Hsiang Han Hsu
  - et al.
- 2023
- MRS Fall Meeting 2023
A Novel Electrical Bias Technique to Recover Degraded ReRAM Arrays for Deep Learning
- - Fabia Farlin Athena
  - Nanbo Gong
  - et al.
- 2023
- MRS Fall Meeting 2023
Predictive Supremacy of Chemical Foundational Model for Battery Electrolytes
- - Vidushi Sharma
  - Eduardo Almeida Soares
  - et al.
- 2023
- MRS Fall Meeting 2023
Leveraging machine learning and combinatorial signaling motif libraries for engineering CAR T cells
- - Sara Capponi
- 2023
- ACS Fall 2023
Creating labs that learn through automated data management
- - Amol Thakkar
  - Andrea Giovannini
  - et al.
- 2023
- ACS Fall 2023
Seeing the unseen: leveraging vision models to extract digital fingerprints of complex liquids
- - Gianmarco Gabrieli
  - Matteo Manica
  - et al.
- 2023
- ACS Fall 2023
PatCID: Large-scale chemical-structure database from images in patent documents
- - Ingmar Meijer
  - Valery Weber
  - et al.
- 2023
- ACS Fall 2023
Topology-driven pre-training for robust molecular property prediction models
- - Aldo Guzmán-Sáenz
  - Sanjoy Dey
  - et al.
- 2023
- ACS Fall 2023