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.
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.
We're addressing the environmental and human health impact of PFAS ‘forever chemicals’ by accelerating the discovery of sustainable replacements and improved capture materials.