In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

Unfortunately, resistive losses limit the practical array size. Rather than a single array, RRAM-based computations will need to break problems into “tiles,” then combine the results.⁠[7] Memory ...

With non-destructive read currents in the nanoamp range, FTJs may offer a low-current alternative for compute-in-memory arrays. Researchers at Kioxia and Toshiba, for example, sandwiched a hafnium ...

The RRAM array was fabricated and integrated onto CMOS at Tsinghua University. ... A compute-in-memory chip based on resistive random-access memory. Nature, 2022; 608 (7923): ...

At the recent SC17 supercomputing conference in Denver, Michael Krause, vice president and Fellow Engineer at HPE and one of the creators of the Gen-Z Consortium, gave a high-level presentation about ...

There is an array of more efficient emerging memories out there for specific tasks. They include compute-in-memory SRAM (CIM), STT-MRAM, SOT-MRAM, ReRAM, CB-RAM, and PCM. While each has different ...

Mythic IPUs are designed as arrays of compute tiles, based on its proprietary analog in-memory computing architecture. (Image courtesy of Mythic).

The demonstration of a non-destructive read operation for FeCAPs presents a milestone toward compute-in-memory applications. Aspencore network. News & Analytics ... Figure 1 Schematic illustrates a ...