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On the basis of brain: neural-network-inspired changes in general-purpose chips

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journal contribution
posted on 2023-06-10, 02:49 authored by Ekaterina PrytkovaEkaterina Prytkova, Simone Vannuccini
In this paper, we disentangle the changes that the rise of artificial intelligence (AI) technologies is inducing in the semiconductor industry. Chips based on the von Neumann architecture are struggling to deliver performance across a wide range of applications, and the new AI segment is only adding to this struggle. This poses a new challenge to chip design, with flexibility of computation at its core, i.e., hardware’s ability to support a large software variety, rather than computation speed. We identify and analyze forces and mechanisms at work and discuss the product configurations which could characterize the future of the semiconductor industry. We outline two possible scenarios: (i) fragmentation of the semiconductor industry into submarkets with dedicated chips and (ii) the shift of the industry to a system-on-a-chip-based dominant design with the emergence of a new platform chip. We rationalize the unfolding situation by modeling consumer choice between computing systems based on their crucial characteristics—speed, flexibility, and energy efficiency.

History

Publication status

  • Published

File Version

  • Accepted version

Journal

Industrial and Corporate Change

ISSN

0960-6491

Publisher

Oxford University Press

Issue

4

Volume

31

Page range

1031-1055

Department affiliated with

  • SPRU - Science Policy Research Unit Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2022-03-07

First Compliant Deposit (FCD) Date

2022-03-08

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