A breakthrough in brain-inspired computing could make today’s energy-hungry AI systems far more efficient. Researchers have engineered a new nanoelectronic device using a modified form of hafnium ...

Explore how brain computer interface technology and advanced brain-computer interfaces are transforming digital interaction, ...

Materials with high magnetoelectric coupling could be useful in novel devices such as magnetic computer memories, chemical sensors and quantum computers. When researchers irradiate a thin layer of ...

Scientists maximize the efficiency of hafnia-based ferroelectric memory devices. A research team led by Professor Jang-Sik Lee from the Department of Materials Science and Engineering and the ...

An AI model informed by calculations from a quantum computer can better predict the behavior of a complex physical system ...

Have you ever frantically searched for your phone—using the light on your phone? It’s embarrassing for sure, but that and other things—forgetting a word or missing an appointment—aren’t signs that you ...

UD’s Tingyi Gu receives NSF CAREER award to study materials that can create more reliable, less energy-intensive forms of computer memory To develop the types of high-speed, energy-efficient ...

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Sign up for CNN’s Wonder Theory science newsletter. Explore the universe with news on fascinating discoveries, scientific advancements and more. The crystal, which ...