A major breakthrough at POSTECH could dramatically boost AI speeds and device efficiency. Researchers have, for the first ...

The real breakthroughs will come from making AI not just larger, but smarter. Memory is the missing link—and solving it will ...

When voltage is applied to the device, ions move within the channel, enabling simultaneous computation and data storage. This ...

To Accomplish this, the following needs to be verified( this is a generic discussion, memory maps and architecture changes like status registers are assumed to be changed) 32 bit instructions needs to ...

Abstract: This brief presents an arithmetic paradigm for computing-in-memory (CIM) using unipolar switching spin-orbit-torque magnetic random access memory (SOT-MRAM) devices. The proposed MRAM array ...

This valuable study shows that locomotion-related modulations in the mouse visual cortex are not uniform but primarily affect neurons in muscarinic receptor-negative patches, which receive projections ...

The Scalable Memory Architecture Program (SMAP ... The goal is to optimize performance, reduce latency, and improve energy efficiency in high computing data center systems and energy-constrained edge ...

A new technical paper titled “All-in-Memory Stochastic Computing using ReRAM” was published by researchers at TU Dresden, Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), ...

Institute of Semiconductor Nanoelectronics, Peter Grünberg Institute 9 (PGI 9) and JARA-Fundamentals of Future Information Technologies, Forschungszentrum Jülich, Jülich 52428, Germany ...

ByteCoreFast: A high-performance, 8-bit CPU emulator, designed as a drop-in replacement for ByteCore, offering enhanced speed while maintaining full compatibility with the original ByteCore interfaces ...

Abstract: In computing-in-memory (CIM) architecture, it is necessary to reliably adjust the precision according to the specific demands of the application, enabling a tradeoff between high precision ...