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CoreAhbSram provides an AHB bus interface to the embedded SRAM memory blocks within Microsemi's Flash devices. In these devices, software running on an AHB-based microprocessor will be able to read ...

Single Port SRAM compiler - TSMC 180 nm uLL - Memory optimized for ultra low power and high density - Dual Voltage - compiler range up to 512 k Single Port SRAM compiler - TSMC 55 nm LPeF - Memory ...

Nonvolatile with SRAM-like performance either ultra-low ... Makes memory smarter by helping to manage incoming data, read/write times, dynamic programmable multi-state flex power, and self-testability ...

Nonvolatile with SRAM-Like Performance ... In-Compute Intelligence: Makes memory smarter by helping to manage incoming data, read/write times, dynamic programmable multi-state flex power, and ...

The rapid growth of AI workloads and AI processors/GPUs are exacerbating the memory bottleneck caused by the slowing performance improvements and scalability of SRAM and DRAM, presenting a major ...

Images posted on the popular WeightWeenies forum today show that a new SRAM Force AXS groupset is on the way, or at the very least in development. Images have surfaced that point to a radical ...

Google’s Titans ditches Transformer and RNN architectures LLMs typically use the RAG system to replicate memory functions Titans AI is said to memorise and forget context during test time ...

A new technical paper titled “Novel Trade-offs in 5 nm FinFET SRAM Arrays at Extremely Low Temperatures” was published by researchers at University of Stuttgart, IIT Kanpur, National Yang Ming Chiao ...

Seven years and seven months ago, Google changed the world with the Transformer architecture, which lies at the heart of generative AI applications like OpenAI’s ChatGPT. Now Google has unveiled ...

One of the most promising approaches is in-memory computing, which requires the use of photonic memories. Passing light signals through these memories makes it possible to perform operations nearly ...

SRAM, integrated as caches of the CPU or GPU, is fast but very small and expensive. DRAM is larger but expensive and energy-consuming. The scaling of both memory technologies in density and ...