Coherent Market insight has published a latest research study “Resistive Random Access Memory Market” 2023 analysis by the following subjects: Industry size, share, growth, segmentation, manufacturers ...

Weebit Nano has entered into a licensing agreement with Texas Instruments (TI) to supply its ReRAM technology.

Weebit Nano secures a license agreement with Texas Instruments December 29, 2025 -- Weebit Nano Limited (ASX:WBT) (Weebit or Company), a ...

An analog-based chip that enables processing "in memory." Invented at the Peking University in 2025 for matrix equation solving, resistive RAM (RRAM) speeds up the massive amounts of multiply-and-add ...

Resistive random-access memory (RRAM) is a highly attractive form of RAM, as it promises low-power usage with stable long-term storage, even in the absence of external power. Finding the right ...

In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...

Coughlin Associates and Objective Analysis released their 2024 report on emerging non-volatile memories, A Deep Look at New Memories. These memories include magnetic random access memory, MRAM; ...

Neuromorphic computing aims to replicate the functional architecture of the human brain by integrating electronic components that mimic synaptic and neuronal behaviours. Central to this endeavour are ...

Magneto-resistive random access memory (MRAM) is a non-volatile memory technology that relies on the (relative) magnetization state of two ferromagnetic layers to store binary information. Throughout ...

Artificial Intelligence (AI) and Machine Learning (ML) applications are driving increased demand for high-performance, low-power memory solutions across consumer, medical, and industrial markets.

Much like the end of Moore’s Law, the scaling challenges of flash memory have been a significant issue for several years. Embedded flash memory is reaching its limits as technology nodes for embedded ...