AI Research
Sep 2, 2026
Former MIT Researchers at IBM Focus on Practical AI and Quantum Applications
Sep 2, 2026
AI Summary
Three former MIT researchers now at IBM are leveraging their experiences from the MIT-IBM Computing Research Lab to advance real-world applications in AI and quantum computing. Their work spans areas such as reinforcement learning, trustworthy AI, and quantum machine learning, aiming to bridge theoretical research with practical industry solutions.
- Three former MIT graduate students and a postdoc are now researchers at IBM, focusing on AI and quantum computing applications.
- Srinivasan Arunachalam, Zhang-Wei Hong, and Irene Ko have utilized their experiences at the MIT-IBM Computing Research Lab to transition from theoretical research to practical applications.
- Hong specializes in reinforcement learning, developing techniques for AI systems to improve performance in real-world tasks, including robotics and language models.
- Ko's research centers on trustworthy AI, aiming to create robust and fair AI systems that align with industry standards, and she has developed a lightweight inference engine for AI models.
- Arunachalam explores quantum machine learning, focusing on algorithms and circuits that can leverage quantum advantages over classical computing.
- The collaboration between MIT and IBM has facilitated their research, enabling them to tackle complex problems and contribute to significant advancements in their fields.
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