Artificial intelligence chip developers SK hynix and TetraMem have demonstrated a new memory-centric processor ...

SK hynix, TetraMem, and the University of Southern California built a memristor-based in-memory computing system-on-chip for ...

As artificial intelligence (AI) proliferates rapidly, AI models and datasets are also growing rapidly in size. This growth far outpaces performance improvement in hardware systems, and is increasing ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

The growth of energy efficiency in traditional computer chips is slowing due to physical limitations, coinciding with a rapid increase in energy demands from the tech sector, especially artificial ...

The collaboration brings together SK hynix’s expertise in advanced memory technologies and TetraMem's Analog In-Memory Computing platform to explore new computing architectures capable of addressing ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning models. So how are researchers working to improve computing efficiency to ...

Heading into 2023, environmental, social, and governance (ESG) initiatives remain atop corporate agendas, affecting ...

Researchers have managed to generate propagating spin waves at the nanoscale and discovered a novel pathway to modulate and amplify them. Their discovery could pave the way for the development of ...

“Brain-like energy-efficient computing has remained elusive for neuromorphic (NM) circuits and hardware platform implementations despite decades of research. In this work we reveal the opportunity to ...

After posting record earnings on Thursday, D-Wave Quantum Inc.’s (NYSE:QBTS) management highlighted its progress in enabling energy-efficient measures to enhance blockchain hashing using quantum ...