IBM aims to boost AI hardware performance with new Composer tool

IBM's new AI Hardware Composer tool aims to boost the performance of analog AI hardware. The tool is being released on the second anniversary of the IBM Research AI Hardware Center. IBM's pioneering centre launched in 2019 with the aim of improving AI hardware compute efficiency by 2.5 times every year for a decade. AI Hardware Composer claims to help both novice and experienced developers to create neural networks and tune analog devices to build accurate AI models. The new tool can be used with IBM's existing Analog Hardware Acceleration Kit (AIHWKIT), an open-source Python toolkit for exploring and using the capabilities of in-memory computing devices in the context of artificial intelligence.