SOURCE-LINKED INTELLIGENCE
FUSE2 TOPIC 1: BRIDGING ATOMIC LAYERS AND FOUNDATION MODELS: AN INDIUM-OXIDE-BASED VERSATILE NEURAL COMPUTING PLATFORM -THE RAPID GROWTH OF ARTIFICIAL INTELLIGENCE (AI), ESPECIALLY LARGE LANGUAGE MODELS (LLMS) LIKE CHATG
FUSE2 TOPIC 1: BRIDGING ATOMIC LAYERS AND FOUNDATION MODELS: AN INDIUM-OXIDE-BASED VERSATILE NEURAL COMPUTING PLATFORM -THE RAPID GROWTH OF ARTIFICIAL INTELLIGENCE (AI), ESPECIALLY LARGE LANGUAGE MODELS (LLMS) LIKE CHATGPT, IS REVOLUTIONIZING THE WAY PEOPLE WORK, LEARN, COMMUNICATE, AND ACCESS HEALTHCARE. DUE TO THE COMPLEXITY OF AI WORKLOADS AND THE LIMITATIONS OF TODAY?S SEMICONDUCTOR HARDWARE, COMPUTING WITH POWERFUL LLMS INCURS ENORMOUS ENERGY COSTS AND GENERATES A SIGNIFICANT CARBON FOOTPRINT. THIS FUTURE OF SEMICONDUCTORS PROJECT WILL DEVELOP A HOLISTIC COMPUTING SOLUTION TO PROVIDE RELI
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- recordType
- award
- region
- US
- value
- 1754245
- unit
- USD
Evidence & attribution
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.