The book's self-declared aim is to present the key elements of an epoch in nanoelectronics that will follow the end of the nanometer roadmap.
The first two titles in the series – CHIPS 2020 volumes 1 and 2 – published in 2012 and 2015 respectively charted progress up until now. They foresaw the slowing of Moore's Law and the rise of neural networks implemented in hardware. They also emphasized what is now a global ecological imperative to focus on energy efficiency rather than performance (see Book Review: CHIPS 2020 and Book review: CHIPS 2020 updates essential view of nanoelectronics).
The world has generally been spared the Internet outages that the second book warned of, but a global energy and resource consumption emergency is now clearly receiving more attention, especially amongst the young. The critical situation in this regard has partly, and temporarily, been alleviated by something else that the first two publications did not foresee – the Covid-19 pandemic – an oversight we can forgive.
For the latest text, NANOCHIPS 2030: On-chip AI for an efficient data-driven world to give its full title, Hoefflinger is joined by co-editor Boris Murmann a professor of electrical engineering at Stanford University.
It follows the same approach and general topical outline as the previous two books but nominally resets the timeline to 2030. The book examines the breadth of nanoelectronics by way of 30 chapters. As before, this inevitably means that some chapters are little more than a compendium of sources on the state-of-the-art while others are more detailed monographs on contributing authors' subjects of expertise.
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