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Abhinav Shrivastava will use the Summit supercomputer at Oak Ridge National Laboratory for a project designed to improve AI-based visual recognition models.

Their invention involves a new method for counting particles of light—photons—without destroying them.

Their technology, called Binoculars, can detect text generated by large language models at an almost 90% success rate.

The project will provide additional space for computing hardware and will offer better options to ensure that the data center’s power grid and cooling systems can handle any increased workload.

A noted expert on quantum secure cryptography, he offers insight as to why new quantum-resistant security measures are needed now, and what we may see in the future.

Theoretical physicist Nicole Yunger Halpern was recognized for her work in quantum thermodynamics.

Yuxin Wang, a Hartree Postdoctoral Fellow in QuICS, is studying quantum noise with the goal of bridging abstract and idealized theoretical ideas to make quantum machines both powerful and useful.

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.

An AI-driven chatbot could soon be helping bleary-eyed moms of newborn babies manage the uncertainty of caring for their infants.