There is no single technology that will power the AI era; rather, I expect that the future lies in a portfolio of firm, ...

AI data centers dominated PowerGen, revealing how inference-driven demand, grid limits, and self-built power are reshaping ...

The generation of synthetic data in healthcare has emerged as a promising solution to surmount longstanding challenges inherent in the use of real patient data. By replicating the underlying ...

It’s tempting to think AI models can hack their way to the best solution possible, no matter how basic the input we give. But feeding clean first-party data to AI models is an absolute prerequisite to ...

Materials research generates vast amounts of data, but the information often exists in manufacturer-specific formats and the terminology is inconsistent, making it difficult to aggregate, compare, and ...

The rapid growth of electricity demand from data centers has emerged as a major challenge for the U.S. power sector. Much of this demand is being driven by the deployment of large learning models ...

Data-to-text generation, a subfield of natural language processing (NLP), is dedicated to translating structured data into coherent, human‐readable narratives. This capability has significant ...