Computing

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neural nets training inference

The Two Main Machine-Learning Functions

By Bryon Moyer | June 12, 2020 | 0 Comments

[From the last episode: We looked at artificial neural networks as a practical solution that’s come available ahead of neuromorphic networks.] We talk about AI as allowing machines to make decisions. While that might be true, it’s an imprecise description of what goes on. There are two main jobs that […]

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ANN

Artificial Neural Networks

By Bryon Moyer | June 4, 2020 | 0 Comments

[From the last episode: We started this new with a broad introduction to machine learning.] While neuromorphic neural networks – that is, ones that work the way our brains work – may still be off in the future a ways, someone came up with a different way to emulate those […]

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neuromorphic

Machine Learning: Neuromorphic or Not

By Bryon Moyer | May 29, 2020 | 0 Comments

[From the last episode: We reviewed our tour of IoT and cloud computing.] We’ve talked about conventional computing, so now we’re going to look at a new computing application that’s taking the industry by storm: machine learning. We did a quick overview a long time ago; now we’re going to […]

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IoT computing

Computing Review and Summary

By Bryon Moyer | May 22, 2020 | 0 Comments

[From the last episode: We looked at the complexities of cache in a multicore processor.] OK, time for a breather and for some review. We’ve taken quite the tour of computing, both in an IoT device (or even a laptop) and in the cloud. Here are some basic things we […]

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cache coherence

Cache in Multicore Systems

By Bryon Moyer | May 15, 2020 | 0 Comments

[From the last episode: We looked at trusted execution environments: portions of microcontrollers (MCUs) that have walled-off processors for secure processing.] We have one last topic before we review our tour through computing. We talked about cache as a way to speed up access to frequently-used data, and we looked […]

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