Morning Overview on MSN
MIT’s chip stacking leap could slash energy use for hungry AI chips
Artificial intelligence is colliding with a hard physical limit: the energy it takes to move data on and off chips. Training ...
Live Science on MSN
MIT's chip stacking breakthrough could cut energy use in power-hungry AI processes
Data doesn’t have to travel as far or waste as much energy when the memory and logic components are closer together.
New technical paper titled “New ternary inverter with memory function using silicon feedback field-effect transistors” was published from researchers at Korea University. In this study, we present a ...
Scientists show that non-volatile memory made from a sandwich of silver nanoparticle-laced plastic retains its on/off state over a wider voltage range when operating at toasty temperatures. Plastics ...
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