FEATUREAT
ARTIFICIAL INTELLIGENCE
ALL WORK, N , NO ROBOTIC PLA
How has AI cha design enginee
As design engin both human an
CEO and founde effective balanc
H
umanity has develope fascination with artifi or AI, and the way in whic familiar processes. The ge h f
hi f i
neering presents oppo d artificial labour, Nik er of
ed a curious
this refers to is that of a m imitating intelligent huma As such, AI has consequen technological int erest.
cial intelligence, ch it influences eneral process hi
machine
an behaviour. ntly dominated
But there are more specific procedures that AI has seamlessly int
into, often with subtlety. V in our mobile phones help us manage daily tasks. Any product
endorsement is recommended to us by algorithms that have been tracking our
online search and shopping habits. As a result, money is being funnelled into AI research and development; investment into AI startups, by
venture capitalists, has increased six-
fold since 2000. Meanwhi jobs requiring AI skills has five times since 2013.
ile, the share of s grown almost
To understand how AI is consumers and organisati important to look at the d is being applied in specific So, how has AI impacted e engineers, who so often e newest technologies? Eng has traditionally been con expensive and time-consu With this in mind, steps h taken to ensure that the s efficient, as a result of eff adoption and implementa
34 MAY 2019 | ELECTRONICS
s impacting ons, it is
different ways it c industries. electronics embrace the gineering
nsidered an
uming trade. have been
sector is more fective AI tech ation.
ific procedures egrated itself Voice assistants p us manage
Fountech, looks a ce between the two in
HOW HAS THE R DESIGN ENGINE
LAY
AY
anged ering?
rtunities for
kolas Kairinos, at creating an the industry
ROLE OF AI AFFECTED ERING?
The typical tasks facing electronics engineers on a daily basis – designing, d l i d
developing and te manufacturing an it – would benefit of AI. No discussio AI in engineering without first inves technology in enh the current process.
facing electronics aily basis – designing, i
esting a product, before nd implementing t from the inclusion on about the role of would be complete
d before
stigating the role of this hancing and automating ss.
AUT AT “The typical
The typical tasks facing
e
lectronics engineers on a daily basis... would benefit from the inclusion of AI”
w OMATING TASKS
As AI advances, there is an increased interest in using this technology o reach higher levels of product aut omat ion,
accelerating the nnovation of new product
had an impact
aborious t previously
One example is is building AI as p to take the tediou designing circuit b formulate optimis rate. What’s more automatically crea are faster, more e efficient overall. Conclusively, the such complex task
s. AI has already on
electrical engineering, by
nvestment of time and resources.
automating many asks that required an f time
the start up JITX, which part of its mission
us complexity out of boards: it aims to sed PCBs at a faster
e, the AI-fuelled system ates circuit boards that effective and more cost
e ability to automate ks is advantageous
when it comes to reducing errors and ensuring high-qualit y results, leaving engineers to focus
s on other means of
adding value to a product or sy stem, most noticeably a
Fountech at the planning stage.
www.fountech.ai / ELECTRONICS Nikolas Ka and founder of Fountech
airinos, CEO der of Fountech
An indust of design in the per
ry question that always raises an eyebrow, particularly within the realm engineering: will artificial intelligence one day replace human workers, rformance of mundane tasks?
articularly within the realm y replace human workers,
ENHANCING CAPABILITIES
AI techniques are also being used by engineers to solve a whole range of problems, namely, to
so being used by whole range of
manufacturing design results. Many companies are making st headway in this space. For instance, engineers at Mentor Graphics have utilised machine learning algorithms to perform chemical-mechanical polishing (CMP), to detect pot hotspots as part of t
re making strong ce. For instance, Graphics have
manufacturing flow. As such, AI can be used to prevent potential design failures, helping eng
products and pinpoint any be subsequently opt
rning algorithms to mechanical polishing t ential faults and their design-for- As such, AI can
gineers to assess their nt any defects, to imised in order to
prevent further manufacturing faults and improve the accuracy
nufacturing faults and y of the process.
THE FUTURE OF AI IN ENGINEERING Considering the future of AI, t
has only scratched the surface of what se of electronical
is possible. In the case of elect engineering, AI is opening up a host new capabilities and opport of which we are current the industry. Indeed, elect may well see their job descript as AI advances and new kinds of work replace outdated practices. But previous technologic
ure of AI, the industry he surface of what f l
will be a gradual process, as engineers adapt to these changes and learn how to utilise new AI tools to their advant settling into new positions that look forward, alongside artificial int
rtificial intelligence.
pening up a host of opport unities, some rent ly seeing enter , electrical engineers ob description change new kinds of work actices. But as with cal innovation, this ocess, as engineers ges and learn how to to their advantage, sitions that look
o improve design and gn results.
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