As we continue through 2021 and in-memory computing platforms mature, we will see the number of industries and companies adopting these solutions con­tinue to grow. This trend will last far beyond the ...

SAP on Wednesday outlined a roadmap for its in-memory computing applications. The enterprise applications giant has been hot for in-memory computing as a way to speed up analytics while cutting ...

Without a conversion layer such as PyPIM, developing applications compatible with processor-in-memory support would have been very difficult. The low-level machine code would need to be rewritten ...

A paper describing their work, "Computing High-degree Polynomial Gradients in Memory," appears in the journal Nature Communications. "The objective function of any optimization problem, such as an ...

Increasing demand for real-time data processing and AI-driven applications is fueling the growth of the In-Memory Computing market.Pune, Feb. 05, 2025 (GLOBE NEWSWIRE) -- In-Memory Computing ...

In recent decades, computer scientists have been developing increasingly advanced machine learning techniques that can learn ...

A concept image of the group's photonic in-memory computing. view more . ... up from a single memory cell to a large-scale memory array which can support even more data for computing applications.

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 multi-level breakthrough in optical computing Date: October 23, 2024 Source: University of Pittsburgh Summary: Until now, researchers have been limited in developing photonic memory for AI ...