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How AI Will Change Chip Design
Technology & Engineering

How AI Will Change Chip Design

The end of Moore’s Law is looming. Engineers and designers can do only so much to miniaturize transistors and pack as many of them as possible into chips. So they’re turning to other approaches to chip design, incorporating technologies like AI into the process.Samsung, for instance, is adding AI to its memory chips to enable processing in memory, thereby saving energy and speeding up machine learning. Speaking of speed, Google’s TPU V4 AI chip has doubled its processing power compared with that of its previous version.But AI holds still more promise and potential for the semiconductor industr...

πŸ“… 2022-02-08 14:00:01    β€’    IEEE Spectrum
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Atomically Thin Materials Significantly Shrink Qubits
Technology & Engineering

Atomically Thin Materials Significantly Shrink Qubits

Quantum computing is a devilishly complex technology, with many technical hurdles impacting its development. Of these challenges two critical issues stand out: miniaturization and qubit quality.IBM has adopted the superconducting qubit road map of reaching a 1,121-qubit processor by 2023, leading to the expectation that 1,000 qubits with today’s qubit form factor is feasible. However, current approaches will require very large chips (50 millimeters on a side, or larger) at the scale of small wafers, or the use of chiplets on multichip modules. While this approach will work, the aim is to attai...

πŸ“… 2022-02-07 16:12:05    β€’    IEEE Spectrum
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