Neuro-symbolic AI
We see Neuro-symbolic AI as a pathway to achieve artificial general intelligence. By augmenting and combining the strengths of statistical AI, like machine learning, with the capabilities of human-like symbolic knowledge and reasoning, we're aiming to create a revolution in AI, rather than an evolution.
Our work
Disentangling visual attributes with neuro-vector-symbolic architectures, in-memory computing, and device noise
Technical noteAbu Sebastian, Abbas Rahimi, and Geethan KarunaratneThis AI could likely beat you at an IQ test
ResearchAbbas Rahimi and Michael HerscheHow IBM Research is accelerating discoveries in the fight against COVID-19
ResearchMike Murphy10 minute readAI, you have a lot of explaining to do
ReleaseDinesh Garg, Parag Singla, Dinesh Khandelwal, Shourya Aggarwal, Divyanshu Mandowara, and Vishwajeet Agrawal5 minute readIBM, MIT and Harvard release “Common Sense AI” dataset at ICML 2021
ReleaseDan Gutfreund, Abhishek Bhandwaldar, and Chuang Gan6 minute readMimicking the brain: Deep learning meets vector-symbolic AI
ResearchAbu Sebastian and Abbas Rahimi4 minute read- See more of our work on Neuro-symbolic AI
Projects
Accelerator Technologies
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.
Publications
- Radu Marinescu
- Junkyu Lee
- et al.
- 2024
- NeurIPS 2024
- Dmitry Zubarev
- Sarath Swaminathan
- 2024
- NeurIPS 2024
- Wanhua Li
- Zibin Meng
- et al.
- 2024
- NeurIPS 2024
- Kumudu Geethan Karunaratne
- Michael Hersche
- et al.
- 2024
- NeurIPS 2024
- 2024
- ISWC 2024
- Jonathan Thomm
- Michael Hersche
- et al.
- 2024
- NeSy 2024
Neuro-symbolic AI research at the MIT-IBM Watson AI Lab
Read more about our work in neuro-symbolic AI from the MIT-IBM Watson AI Lab. Our researchers are working to usher in a new era of AI where machines can learn more like the way humans do, by connecting words with images and mastering abstract concepts.