To build this new platform, the researchers developed a theory for the programming interfaces of in-memory computing architecture and created software development libraries that convert Python ...

In-memory computing promises to revolutionize AI inference. Given the rapid adoption of generative AI, it makes sense to pursue a new approach to reduce cost and power consumption by bringing compute ...

The authors propose a resonance-based photonic architecture which leverages the non-reciprocal phase shift in magneto-optical materials to implement photonic in-memory computing.

To build this new platform, the researchers developed a theory for the programming interfaces of in-memory computing architecture and created software development libraries that convert Python ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make ...

A new technical paper titled “Toward Single-Cell Multiple-Strategy Processing Shift Register Powered by Phase-Change Memory Materials” was published by researchers at Singapore University of ...

Engineering researchers have developed and demonstrated a new computer memory design that could drastically reduce the amount of energy AI systems consume.

SGI, a trusted leader in high performance computing and big data and an SAP global technology partner, today announced plans to develop an in-memory appliance based on the SAP HANA platform, working ...

The authors propose a resonance-based photonic architecture which leverages the non-reciprocal phase shift in magneto-optical materials to implement photonic in-memory computing.