Penn State researchers use large language models to streamline metasurface design, significantly reducing the time and ...

Acoustic Enhancement Technology Expands into the Multi-Billion-Dollar Non-Invasive BCI and Healthcare Applications Market ...

A new, high-performance brain-computer interface (BCI) can be rapidly implanted through a minimally invasive procedure. The ...

Computers found what human experts missed: a divide between aging biology research and patient care that decades of funding ...

Abstract: The Electroencephalogram (EEG)-based Brain-Computer Interface (BCI) is important for Internet of Things (IoT) applications. EEG data can be used to control IoT devices for applications such ...

The IAEA has launched a new research project to enhance computer security for artificial intelligence systems that may be used in the nuclear sector. The project aims to strengthen computer security ...

In the current climate, generic and expensive programs to promote diversity, equity, and inclusion—for example, trainings—are increasingly falling out of favor. In fact, most of the existing research ...

Qiang Tang receives funding from Google via Digital Future Initiative to support the research on this project. Moti Yung works for Google as a distinguished research scientist. Yanan Li is supported ...

Tutorials in the Au community journals are free-to-read resources for researchers, students, and instructors in advanced under-graduate or graduate courses, to learn more about new or unfamiliar ...

Mixed-methods research leverages the strengths of qualitative and quantitative methodologies and methods to generate a comprehensive understanding of phenomena. There is ample guidance about ...

Microsoft’s Experimental Optical Computer Could Run AI Workloads With Less Energy Your email has been sent Research conducted by the Microsoft Research lab in Cambridge could contribute to the ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial intelligence models—without needing access to the original training data.