Researchers associated with QuICS believe their recently published work could lead to more efficient benchmarking for quantum devices, as well as more efficient ways of representing quantum states on classical hardware.
Ramani Duraiswami is part of a team receiving federal funding for equipment to decode “imagined speech”—the unspoken words and phrases we intentionally form in our minds.
In a Q&A with Roadmap magazine, he relates on why we should stop worrying about autonomous AI systems and start thinking more about building systems that help people.
The award—expected to total about $650,000 over the next five years—supports his work in “descattering,” which involves developing novel ways for computers to “see through” objects and obstructions that scatter light.
Researchers from the Computational Linguistics and Information Processing Lab are looking into the problems that arise when language translation tools provide physicians with incorrect translations for discharge instructions or medication protocols.
