Accelerated Discovery
The world is changing rapidly every day, and the way we used to solve problems won’t cut it anymore. At IBM Research, we’re combining our expertise in quantum computing, AI, and hybrid cloud to drastically increase how quickly we can discover solutions to tackle today’s most urgent problems.
Our work
Mitigating the environmental harm of PFAS ‘forever chemicals’
NewsKim Martineau- Accelerated Discovery
- AI
- Exploratory Science
- Foundation Models
- Generative AI
- Natural Language Processing
IBM and NASA build language models to make scientific knowledge more accessible
Technical noteBishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Bharath Dandala, Rong Zhang, and Yousef El-Kurdi- Accelerated Discovery
- AI
- Generative AI
- Science
The 2023 IBM Research annual letter
Deep DiveDarío Gil- Accelerated Discovery
- AI
- Hybrid Cloud
- Quantum
- Science
- Security
- Semiconductors
IBM and NASA are building an AI foundation model for weather and climate
NewsKim Martineau- Accelerated Discovery
- AI
- Climate and Sustainability
- Foundation Models
Foundation models for addressing climate change
Q & AKim Martineau- Accelerated Discovery
- AI
- Climate and Sustainability
- Foundation Models
IBM and PINQ² unveil utility-scale quantum computer in Québec
NewsKatia Moskvitch- Accelerated Discovery
- Quantum Network
- Quantum Systems
- See more of our work on Accelerated Discovery
Projects
AI for Scientific Discovery
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
Knowledge Enhanced Accelerated Discovery
Enhance scientific discovery with multimmodal knowledge
Accelerated Discovery of Battery Materials
Leveraging our expertise in materials science, AI, quantum and high performance computing, we're developing a more powerful, sustainable, and energy-efficient battery.
Publications
- 2024
- ICLR 2024
- Kumar Saurav
- Manikandan Padmanaban
- et al.
- 2024
- ICLR 2024
- 2024
- MRS Spring Meeting 2024
- Refaldi Intri Dwi Putra
- Tatsuya Ishikawa
- et al.
- 2024
- ICASSP 2024
- Daiki Kimura
- Tatsuya Ishikawa
- et al.
- 2024
- ICASSP 2024
- Smit Marvaniya
- Jitendra Singh
- et al.
- 2024
- ICASSP 2024