As interest in artificial intelligence (AI) and in-memory computing significantly increases, resistive random-access memory (ReRAM) could be the key to unlocking their ability to imitate the human ...
Synopsys recognized for its comprehensive AI-driven EDA suite and cloud-enabled design environment accelerating analog in-memory computing development—a next-gen solution enabling advanced AI chips ...
A Nature paper describes an innovative analog in-memory computing (IMC) architecture tailored for the attention mechanism in large language models (LLMs). They want to drastically reduce latency and ...
In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the ...
The rapid advancement of artificial intelligence (AI) is driving unprecedented demand for high-performance memory solutions.
Prepare for the quantum computing era and its cybersecurity risks. We discuss how post-quantum cryptography (PQC) and secure-memory solutions protect industries and supply chains. The importance of ...
Delivers complete design and validation solution for Low-Power Double Data Rate 6 (LPDDR6) memory in mobile, client computing, and AI applications. Supports JEDEC’s ongoing development of the new ...
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