A new technical paper titled “Reconfigurable Compute-In-Memory on Field-Programmable Ferroelectric Diodes” was recently published by researchers at University of Pennsylvania, Sandia National Labs, ...
The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.
Infineon has expanded its wireless memory portfolio with CellularRAM, this is a customised memory solution designed and tailored for mid-range to high-end mobile phone applications. CellularRAM is ...
“In neuromorphic hardware, peripheral circuits and memories based on heterogeneous devices are generally physically separated. Thus exploring homogeneous devices for these components is an important ...
Today's dominant memory architecture in cell phones and PDAs includes NOR flash memory for code storage and direct execution, along with DRAM or SRAM for data storage. M-Systems points out, though, ...
Google has announced ' Titans,' an architecture to support long-term memory in AI models, and ' MIRAS,' a framework. Titans + MIRAS: Helping AI have long-term memory To address this issue, Google has ...
A new design for computer memory that could both greatly improve performance and reduce the energy demands of internet and communications technologies, which are predicted to consume nearly a third of ...
Computer memory and storage have always followed the Law of Closet Space. No matter how much you have, you shortly discover that it isn’t enough. So it’s good news that scientists in Switzerland are ...
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