The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

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, ...

In this work, we aim to develop a hardware-based technique to achieve differential privacy by design. In contrary to the conventional software-based noise generation and injection process, our design ...

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 ...

How much energy is consumed each time we upload an image to social media, which relies on data centers and cloud storage?

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 ...

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, ...

PALO ALTO — Untether AI, an at-memory computation company for artificial intelligence (AI) workloads, today announced at the HOT CHIPS 2022 conference its next-generation architecture for accelerating ...