Artificial intelligence and machine learning could become dramatically more efficient, thanks to a new type of computer component developed by researchers at the University of California, Santa ...

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The deployment of Spiking Neural Networks (SNNs) on resource-constrained edge devices is hindered by a critical algorithm-hardware mismatch: a fundamental trade-off between the accuracy degradation ...

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Thanks for the great kernelshap package you have developed! I'm trying to do parallel computing and I'm finding that it prompts some warning messages. It probably doesn't affect the end result either.

Industrial digital input chips provide serialized data by default. However, in systems that require real time, low latency, or higher speed, it may be preferable to provide level-translated, real-time ...

There is always the promise of using more computing power for a single task. Your computer has multiple CPUs now, surely. Your video card has even more. Your computer is probably networked to a slew ...

A Python wrapper for GNU parallel that naturally embeds shell code into Python scripts or Jupyter notebooks (no delimiter hell). Features parameter substitution, environment substitution, and ...

Figure 1. Ultra-high parallel optical computing integrated chip - "Liuxing-I". High-detail view of an ultra-high parallelism optical computing integrated chip – “Liuxing-I”, showcasing the packaged ...