AttoNets, A New AI That is Faster & Efficient For Edge Computing

An AI team at the University of Waterloo, Canada, developed a new type of compact family of deep neural networks (AttoNets), which can even run on smartphones, tablets, and other mobile devices.

The main problem with available neural networks is they require high configuration machines and difficult to run in any real-world situations. While AttoNets is faster and efficient for edge computing and can have great applications in aerospace, automotive, finance, agriculture, medical diagnostics, consumer electronics sector, etc. AttoNets uses Generative Synthesis, which was recently validated by Intel, and in a recent paper with Audi Electronics Ventures shown to accelerate the deep learning design for autonomous driving greatly. It’s a human- & machine design-centric neural network.

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Image Source: Research Paper


Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.

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