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Contributions unveiled tools for analyzing environmental and health interventions, matching images to architectural plans, and generating realistic 3D scenes with unprecedented efficiency.
Cornell researchers have developed a new transistor architecture that could reshape how high-power wireless electronics are engineered, while also addressing supply chain vulnerabilities for a critical semiconductor material.
New grant funding will support eight research projects seeking to reduce AI’s energy use and integrate AI in environmental research.
Three Cornell engineering research teams have been chosen as recipients of AI and Climate Fast Grants, to explore strategies to reduce energy use in AI industries and to integrate AI in environmental research. The Green Choice: Enabling Sustainable Generative AI…
By studying the theoretical limits of how light can be used to perform computation, Cornell researchers have uncovered new insights and strategies for designing energy-efficient optical computing systems.
A custom-built, metal-organic chemical vapor deposition system in Duffield Hall will help forge new directions for nitride semiconductors, materials best known for enabling LEDs and 5G communications.