Katie Schuman, assistant professor and algorithm expert in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, along with fellow professor Jim ...

Intel, IBM and MythWorx are shrinking AI to run on 20 watts, the same power as the human brain. Inside the neuromorphic race ...

This collection supports and amplifies research related to SDG 9 - Industry, innovation and infrastructure. The exploration of two-dimensional materials has garnered significant attention in recent ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

For how powerful today’s “smart” devices are, they’re not that good at working smarter rather than working harder. With AI constantly connected to the cloud and the chip constantly processing tasks ...

In the future, a new type of computer may be able to learn much like you do—by experience rather than endless repetition or instruction. Researchers at the University of Texas at Dallas, along with ...

As artificial intelligence platforms like OpenAI's ChatGPT and Microsoft's Copilot go mainstream, power bills from their usage are exploding. In response, researchers are racing to build hardware that ...

Explore how neuromorphic chips and brain-inspired computing bring low-power, efficient intelligence to edge AI, robotics, and IoT through spiking neural networks and next-gen processors. Pixabay, ...

Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...