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I knew TDK were looking into neuromorphic as posted last year but unfortunately not ours by looks.
Thoughts @Diogenese .
Maybe Anthony, Nandan, Anil or someone should get in touch haha
Excerpt start of blog. Rest in links.
https://product.tdk.com/en/techlibrary/developing/index.html
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.
*1 MRAM:
Magnetoresistive Random Access Memory. Unlike conventional memory, data does not disappear (non-volatile). This allows for reduction in calculation and standby power as it can be quickly started even if the circuit power is turned off.
Thoughts @Diogenese .
Maybe Anthony, Nandan, Anil or someone should get in touch haha
Excerpt start of blog. Rest in links.
https://product.tdk.com/en/techlibrary/developing/index.html
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.
*1 MRAM:
Magnetoresistive Random Access Memory. Unlike conventional memory, data does not disappear (non-volatile). This allows for reduction in calculation and standby power as it can be quickly started even if the circuit power is turned off.