[Developing Technologies]
Solving AI Energy Problems with Neuromorphic Technology
With the expansion of AI usage, the energy consumed by computers has been increasing explosively. TDK is developing a spin memristor, an analog memory element that electrically mimics the synapses in the human brain. Devices that utilize this technology, known as neuromorphic devices, are expected to be over 100 times more energy-efficient than conventional devices. This device technology can be manufactured using techniques similar to those currently used for MRAM*1 production. Leveraging its expertise in magnetic technology, developed through HDD heads and magnetic sensors, TDK aims to reduce the energy needed for AI and to discover new AI devices that can learn in real-time and adapt to their environment and users.