Computer Science
IBM has been at the forefront of computer science research since the field’s inception. Our research today focuses on achieving breakthroughs in automation, information processing, and computation. Our goal is to complement and extend human performance — and advance society as a whole.
Our work
Teaching AI models to improve themselves
ResearchPeter HessRemembering Bob Dennard, inventor of the chip that changed the world
NewsPeter HessNew smartphone app to navigate blind people to stand in lines with distances
ResearchHironobu Takagi, Chieko Asakawa, Masaki Kuribayashi, and Seita Kayukawa3 minute readSilicon waveguides move us closer to faster computers that use light
ResearchThilo StöferleBiologically-inspired deep learning predicts chords of Bach
ResearchStanisław Woźniak5 minute readNeuNetS: Automating Neural Network Model Synthesis for Broader Adoption of AI
ResearchCristiano Malossi
Projects
Neuro-inspired AI to optimize learning and computing efficiency of next generation AI.
Publications
Contextual Value Alignment
- Kush Varshney
- Miao Liu
- et al.
- 2025
- ICASSP 2025
Combinatorial Test Design Model Creation using Large Language Models
- Debbie Furman
- Eitan Farchi
- et al.
- 2025
- IWCT 2025
Uncertainty Analysis of Molecular Quantum Properties Prediction Using Chemical Foundation Models
- Siya Kunde
- Emilio Ashton Vital Brazil
- et al.
- 2025
- ACS Spring 2025
Comparative Study of Open-source LLMs for text classification and knowledge extraction in the Material Discovery Domain
- Viviane T. Silva
- Anaximandro Souza
- et al.
- 2025
- ACS Spring 2025
User centered approach of applicability domain analysis for improving AI-assisted decision-making
- Siya Kunde
- Emilio Ashton Vital Brazil
- 2025
- ACS Spring 2025
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles
- Corey Liam Lammie
- Yuxuan Wang
- et al.
- 2025
- IEEE TETC