In this new Guide to In-Memory Computing the goal is to provide direction for enterprise thought leaders on ways of leveraging in-memory computing to analyze data faster, improve the quality of ...
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 ...
FOSTER CITY, Calif., July 30, 2019 (GLOBE NEWSWIRE) -- GridGain ® Systems, provider of enterprise-grade in-memory computing solutions based on Apache ® Ignite™, today announced its participation in ...
We all know AI has a power problem. On the whole, global AI usage already drew as much energy as the entire nation of Cyprus did in 2021. But engineering researchers at the University of Minnesota ...
Samsung Electronics and SK Hynix have been at the forefront of developing the Processing-In-Memory (PIM) technology in recent years. They are poised to integrate it into AI-enabled... The spotlight is ...
With the explosion of AI-rich embedded applications, how do you build the performance needed into embedded microcontrollers? One approach is to offload matrix-vector model operations to an in-memory ...
A new technical paper titled “Fast and robust analog in-memory deep neural network training” was published by researchers at IBM Research. “Analog in-memory computing is a promising future technology ...
In-memory computing is an emerging field of importance in the big data industry. It is a quickly evolving technology, seen by many as an effective way to address the proverbial 3 V’s of big ...
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