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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.
From the earliest days of my career, when designing chips, I have always navigated the interface between hardware and software for semiconductor design in my roles. My initial chip designs included ...
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 ...
In modern CPU device operation, 80% to 90% of energy consumption and timing delays are caused by the movement of data between the CPU and off-chip memory. To alleviate this performance concern, ...
The rapid rise of photonic chips, which use light to process data instead of electrons, may offer faster means to transmit data. But scaling such chips has been held back by one stubborn issue: ...
Scientists have developed a groundbreaking on-chip quantum memory platform using 3D-nanoprinted hollow-core waveguides called ...
Finally, the world is catching up with Virginia Tech‘s semiconductor curriculum. Virginia Tech’s College of Engineering started a chip-scale integration major in 2016, but it wasn’t exactly high ...
China’s push to localise automotive chips is gaining ground, but mostly in mature control systems rather than high-end computing. Observers say the main hurdles are technical, not geopolitical.
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