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AI Architectures Must Change


Using existing architectures for solving machine learning and artificial intelligence problems is becoming impractical. The total energy consumed by AI is rising significantly, and CPUs and GPUs increasingly are looking like the wrong tools for the job. Several roundtables have concluded the best opportunity for significant change happens when there is no legacy IP. Most designs have evolved... » read more

Quantum Computer Race Heats Up


For years, there has been an intense race among various nations to develop the world’s fastest supercomputers. The U.S. and Japan led the field until 2010, when China stunned the market and rolled out the world’s fastest supercomputer. And today, China continues to lead the field with a supercomputer capable of running at speeds of 33.86 petaflops per second. While the supercomputer race... » read more

What’s After CMOS?


Chipmakers continue to scale the CMOS transistor to finer geometries, but the question is for how much longer. The current thinking is that the CMOS transistor could scale at least to the 3nm node in the 2021 timeframe. And then, CMOS could run out of gas, prompting the need for a new switch technology. So what’s after the CMOS-based transistor? Carbon nanotubes and graphene get the most a... » read more