Finding AI-based solutions to address challenges around materials of concern and their replacement.
Projects
12 results at IBM Research - Silicon Valley
Securing AI models with the Adversarial Robustness Toolbox
Making Deep Neural Network systems more capable and energy-efficient.
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.
Developing a general knowledge representation framework to facilitate effective reasoning over multiple sources of imprecise knowledge.
We’re developing new materials for both the smallest length scale (<20nm) and largest length scale (>20mm) of semiconductor fabrication.
Developing a new chiplet integration technology using silicon bridge for advanced semiconductor packaging.
Scaling AI technologies for NLP and text data to a large variety of users.
Leveraging our expertise in materials science, AI, quantum and high performance computing, we're developing a more powerful, sustainable, and energy-efficient battery.
Towards a composable, hybrid cloud data platform
