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Shivananda	(Shivoo)	R	Koteshwar	
LINKEDIN:	https://in.linkedin.com/in/shivoo2life		
Facebook:	shivoo.koteshwar	
ACS, Bangalore
October 2017
Guest Lecture for UG/PG students
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"Big data is high
volume, high velocity,
and/or high variety
information assets
that require new
forms of processing to
e n a b l e e n h a n c e d
d e c i s i o n m a k i n g ,
insight discovery and
process optimization."
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Reactive à Proactive à Predictive à Prescriptive
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¡  IT,	 from	 infrastructure	 to	 applications,	
is	delivered	and	consumed	as	a	service	
over	the	network	
¡  Services	 operate	 consistently,	
regardless	of	the	underlying	systems	
¡  Capacity	 and	 performance	 scale	 to	
meet	demand	and	are	invoiced	by	use	
¡  Services	 are	 shared	 across	 multiple	
organizations,	 allowing	 the	 same	
under-lying	systems	and	applications	to	
meet	 the	 demands	 of	 a	 variety	 of	
interests,	simultaneously	and	securely	
¡  Applications,	services,	and	data	can	be	
accessed	 through	 a	 wide	 range	 of	
connected	devices	(e.g.,	smart	phones,	
laptops,	 and	 other	 mobile	 internet	
devices)	
Characteristics
4/4
Fitness Trackers Sound Wall Pet Cube
Google Glasses Connected Toothbrush
Regular watches getting smarter Mini 3D printer Pacif-I
Melomind - electroencephalogram (EEG)
Trackers
Wireless Charging
https://med.stanford.edu/news/all-news/2017/02/scientists-develop-lab-on-a-chip-that-
costs-1-cent-to-make.html
Fashion + Fitness Tracker The Ring Walk Car
Smarthing Hub Bendy Liquid Metal Coils –
Stretchable Speakers
Autonomous Cars
Kuri robot nanny from Mayfield Robotics. This happy little
robot roams your house, acting as a home security device,
Facebook Computer Vision Tags Google Voice
Google Pixel Buds Sony Glasses
¡  In	1990	(twenty-five	years	ago),	he	predicted	
§  That	computer	would	defeat	a	world	chess	champion	by	1998.	Then	in	1997,	IBM’s	Deep	Blue	
defeated	Garry	Kasparov	
§  That	PCs	would	be	capable	of	answering	queries	by	accessing	information	wirelessly	via	the	
Internet	by	2010.	He	was	right!	
§  That	by	the	early	2000s,	exoskeletal	limbs	would	let	the	disabled	walk.	Companies	like	Ekso	
Bionics	and	others	now	have	technology	that	does	just	this,	and	much	more	
	
¡  In	1999,	he	predicted……		
§  That	people	would	be	able	talk	to	their	computer	to	give	commands	by	2009.	While	still	in	the	
early	days	in	2009,	natural	language	interfaces	like	Apple’s	Siri	and	Google	Now	have	come	a	
long	way	
§  That	computer	displays	would	be	built	into	eyeglasses	for	augmented	reality	by	2009.	Labs	and	
teams	were	building	head	mounted	displays	well	before	2009,	but	Google	started	
experimenting	with	Google	Glass	prototypes	in	2011	
	
¡  In	2005,	he	predicted……		
§  That	by	the	2010s,	virtual	solutions	would	be	able	to	do	real-time	language	translation	in	which	
words	spoken	in	a	foreign	language	would	be	translated	into	text	that	would	appear	as	subtitles	
to	a	user	wearing	the	glasses.	Well,	Microsoft	(via	Skype	Translate),	Google	(Translate),	and	
others	have	done	this	and	beyond.	One	app	called	Word	Lens	actually	uses	your	camera	to	find	
and	translate	text	imagery	in	real	time.
¡  By	the	late	2010s	
§  Glasses	will	beam	images	directly	onto	the	retina.	
§  Ten	terabytes	of	computing	power	(roughly	the	same	as	the	human	brain)	will	cost	about	
$1,000.	
¡  By	the	2020s	
§  Most	diseases	will	go	away	as	nanobots	become	smarter	than	current	medical	technology	
§  Normal	human	eating	can	be	replaced	by	nanosystems	
§  The	Turing	test	begins	to	be	passable	
§  Self-driving	cars	begin	to	take	over	the	roads,	and	people	won’t	be	allowed	to	drive	on	highways	
¡  By	the	2030s	
§  Virtual	reality	will	begin	to	feel	100%	real	
§  We	will	be	able	to	upload	our	mind/consciousness	by	the	end	of	the	decade	
¡  By	the	2040s	
§  Non-biological	intelligence	will	be	a	billion	times	more	capable	than	biological	intelligence	
(a.k.a.	us)	
§  Nanotech	foglets	(self-reconfiguring	modular	robotics)	will	be	able	to	make	food	out	of	thin	air	
and	create	any	object	in	physical	world	at	a	whim	
¡  By	2045	
§  We	will	multiply	our	intelligence	a	billion	fold	by	linking	wirelessly	from	our	neocortex	to	a	
synthetic	neocortex	in	the	cloud.
¡  2018	 –	 2019:	 Self-driving	 cars	 let	 human	 drivers	 relax	
behind	the	wheel	
¡  2019	–	2020:	5G	connectivity	becomes	the	norm,	replacing	
4G;	 traveling	 into	 space	 becomes	 a	 leisure	 activity;	
eyewear	 comes	 equipped	 with	 tiny	 displays	 that	 project	
into	the	wearer's	retina	
¡  2026:	 Humans	 hand	 off	 household	 chores	 to	 domestic	
robots	
¡  2030:	 Displays	 can	 be	 embedded	 into	 human	 skin	 and	
powered	by	the	blood	
¡  2034:	Manned	missions	to	Mars	begin	
¡  2036	-	2037:	Materials	are	transported	from	the	surface	of	
the	earth	into	space	using	an	elevator-like	structure	
¡  2037	-	2038:	Anti-aging	drugs	make	us	all	look	young	and	
lovely	forever
¡  Social	Business	
¡  Gamification	
¡  Enterprise	Mobility	
¡  User	empowerment	
¡  Hyper-Hybrid	Cloud	
¡  Big	data	
¡  G e o s p a t i a l	
visualization	
¡  Digital	Identifiers	
¡  Measured	innovation	
¡  O u t s i d e - i n	
architecture
What are you missing?
¡  Designing	is	a	key	component	
for	innovation	and	
development	of	electronic	
products	
	
¡  Watch	the	technology	Trends/
Drivers	(multi	disciplinary)		
	
¡  Track	Growth	Markets	–	
Healthcare,	Automotive	and		
Wearables
1.  Reversing	Paralysis	
2.  Self-Driving	Trucks	
3.  Facial	Recognition		
4.  Practical	Quantum	computing	
5.  360	degree	camera	
6.  Hot	Solar	cells	
7.  Gene	Therapy	2.0	
8.  Cell	Atlas	
9.  Botnets	of	Things	
10.  Reinforcement	Learning	
Alexa Effect !
Existing	Components	
¡  Central	processing	Unit			(CPU)	
¡  Digital	Signal	Processing	(DSP)	
¡  Graphical	processing	Unit	(GPU)	
	
New	Components	
¡  Neural	Processing	Unit				(NPU)		
¡  AI	Accelerator	Chip	
¡  Brain	inspired	Computing	
¡  Neuromorphic	computing	
¡  Neurosynaptic	Chip	(Cognitive	Chip)	
¡  Bionic	Chip	
¡  SDN	(software-defined	networking)	
¡  NFV	(network	functions	
virtualization)		
¡  Computer	vision	accelerator	(CVA)	
¡  	pseudo-static	RAM	(PSRAM)
¡  Watch	the	video	
https://newsroom.intel.com/editorials/intels-new-self-learning-chip-promises-accelerate-artificial-intelligence/?
utm_source=twitter&utm_medium=organic_social&utm_campaign=ao_cx&sf117772156=1
¡  3D	Printing	
¡  5G	
¡  Advanced	Robotics	
¡  Advanced	Data	
Visualization	
¡  Autonomous	Vehicles	
¡  Biocomputers	
¡  Biometrics	
¡  Brain	Computer	Interface	
¡  Block	Chain	
¡  Cloud	Service	Integration	
¡  Cognitive	Computing	
¡  Containers	
¡  Context	Broker	
¡  Deep	Learning	
¡  Digital	workspace	
¡  Digital	signage	
¡  Distributed	Social	
Networks	
¡  Edge	Computing	
¡  Exascale	
¡  Fabric	Based	Computing	
¡  Immersive	Experience	
¡  In-Memory	Computing	
¡  Insight	Platforms	
¡  IoT	
¡  IPv6
¡  Location	Based	Services	
NG	
¡  LPWAN	
¡  Memristors	
¡  Natural	User	Interfaces	
¡  NFC	
¡  Open	source	hardware	
plastic	Transistors	
¡  Private	Enhancing	
Technologies	
¡  Quantum	computing	
¡  SDx	
¡  Self	Adaptive	Security	
¡  Semantic	Technologies	
¡  Smart	Machines	
¡  Swarm	Computing	
¡  Trusted	Devices	
¡  Ubiquitous	PIM	
¡  Virtual	Assistants	
¡  Wearable	Computing	
¡  Webscale	Computing	
¡  WebRTC	
¡  Wireless	Power
STUDY	AREA	 RESEARCH	OPPORTUNITY	
Evolution	 Genetic	Algorithms		
Bio-degradation	 Biodegradability	prediction		
Life	 Cellular	automata	
Ants,	Termites,	Bees	 Emergent	systems	
Brain	 Neural	Networks	
Life	 Artificial	Life	
Immune	System	 Artificial	Immune	System	
Patterning	of	animal	skins,	bird	feathers	
etc.		
Rendering	in	computer	graphics	
Epidemiology	and	spread	of	disease		 Communication	Networks	and	protocols`	
Intra	membrane	molecular	processes	in	
the	living	cell		
Membrane	computers
Industry	vertical			 Present	state	 Future	potential	
		Access	
		No	connectivity	 		Wireless	
		Electromechanical	meters	 		Smart	meters	(AMI)	
		Energy	
		Incandescent	lighting	 		LEDs	
		Energy	shortage	 		Green	energy/energy	efDiciency	
		Healthcare	 		Accessibility	and	cost		 		Affordable	devices/Telemedicine	
		Education	 		Limited	education	 		Digital	classrooms/virtual	classrooms	
		Digitization	 		Analog	to	digital	 		Electronic	society/Unique	ID/TV,	radio	
		Security	 		Human	dependence	 		Integrated	surveillance	systems	
		Others	(e.g.	
Automotive)	
		High	cost,	High	emission	cars	 		Low	cost,	Zero	emission	cars
¡  High	Market	Growth	-	CAGR	9%	for	last	40years	
¡  Rapid	technological	innovation	
¡  Need	for	huge	amounts	of	capital	to	support	
both	growth	and	technological	progress
¡  Current	market	conditions	and	outlooks	are	mixed	for	the	next	few	years,	largely	
because	of	the	fragile	global	economic	outlook	
¡  The	automotive	and	industrial	markets	for	semiconductors	offer	significant	
growth	potential	
§  The	automotive	market	will	be	driven	by	the	number	of	vehicles	produced	in	Brazil,	Russia,	
India	and	China,	and	by	an	increase	in	the	average	semiconductor	content	per	vehicle	
§  The	industrial	sector	is	growing	because	of	increasing	energy	demands,	a	continuing	trend	
toward	renewable	energies	and	the	expansion	of	high-speed	rail	transportation	
¡  Market	Drivers	
§  Data	Processing	application	market	à	Tablet	
§  Communications	market	à	Smartphone	
§  Consumer	Electronics	à	Digital	Set-Top-Boxes	
¡  China	will	cement	its	dominant	position	and	increase	its	market	share	of	global	
semiconductor	sales	to	half	of	the	worldwide	market		
¡  To	meet	global	demands,	global	production	capacity	for	semiconductors	will	
increase	
¡  Overall	production	capacity	is	sustaining	progress	toward	smaller	feature	sizes	
and	larger	wafer	diameters	
¡  Operating	profitability	is	back	on	the	positive	side	of	the	ledger,	except	in	the	
memory	and	back-end	processes	subsectors,	which	face	strong	competition	and	
cycles	of	overcapacity	
¡  Working	capital	is	back	to	normal	levels
¡  Economies	of	scale	and	more	technological	
challenges	are	driving	another	wave	of	
acquisitions	
¡  3	main	drivers	for	acquisitions:	
§  Operational	Synergies	
§  Horizontal	Critical	mass	
§  Vertical	positioning
¡  Employed	in	industries	manufacturing	electronic	
equipment,	research	and	development	
¡  Marketing	and	sales	jobs	for	electronic	products	are	
another	option	
¡  Design,	Implementation	and	testing	in	Semiconductor	
Industry	
¡  Algorithm	design,	testing	and	support	engineer	in	
EDA	companies	(Tool	companies)	
¡  Electronic	engineers	who	specialize	in	biomedical	
equipment	find	employment	with	bioengineering	
industries	
¡  Market	–	Wearable	Devices,	Semiconductor	and	
Energy	sector
¡  Design	Companies-Companies	which	design	ASICs/ASSPs/	Microprocessors	
§  MediaTek,	Qualcomm,	TI,	ADI,	Intel,	AMD	
§  BTech/MTech	pass-outs	with	customized	training	(Industry	ready)	
	
¡  EDA	Companies	Company	that	provides	the	tools	in	the	ASIC	Flow.	
§  Synopsys,	Cadence,	Mentor	
§  BTech/MTech	pass-outs	trained	with	their	company	tools	so	that	they	can	influence	
indirectly	the	decisions	made	by	the	potential	customers	and	mainly	to	reduce	the	
support	cost	as	these	set	of	trained	engineers	will	“support	themselves”	
	
¡  Design	Services	Companies	
§  Wipro,	Tata	Elxsi,	Smartplay	etc	
§  BTech/MTech	pass-outs	with	customized	training	(Industry	ready)	
§  BTech/MTech	pass-outs	with	good	project	management	skills	and	soft	skills	
§  BTech/MTech	pass-outs	with	customized	advanced	technology	training	(Industry	
placement	ready)	
	
¡  Soft/Hard	IP	Companies	-Company	that	provides	Intellectual	blocks	(IPs)	that	can	
be	plugged	into	the	product	
§  Processor	(Embedded)	Core	IP	:	ARM,	MIPS	
§  DSP	IP	companies	
§  Memories	–	Synopsys,	Cadence	
§  Connectivity	IPs	–	Cadence,	Synopsys	
§  Similar	to	Design	Companies
n  The	basic	skill	required	for	a	chip	designer	varies	depending	on	the	
domain	that	one	desires	to	specialize	in,	but	in	general	strong	
background	in	electrical/electronics	engineering	and	computer	
engineering	is	essential.		
n  Since	the	advances	in	VLSI	happen	at	a	rapid	pace,	ability	to	quickly	and	
continuously	learn	is	a	must.	
n  In	terms	of	specific	skills,	knowledge	in	following	areas	is	required:	
digital	design	fundamentals,	VHDL/Verilog,	simulation	and	synthesis	
tools,	computer	architecture.		
n  To	deal	with	the	dearth	of	chip	designers	some	companies	are	tying	up	
with	institutes	offering	training	in	chip	design.	If	you	do	not	have	enough	
experience,	you	can	take	up	a	short-term	course.	
n  Besides	technical	skills,	it	is	equally	important	for	an	individual	to	work	
on	enhancing	his/her	soft	skills.	Cross	cultural	work	environments,	
demanding	customers,	deadlines	and	expanded	job	roles	have	made	it	
imperative	for	employees	to	possess	skills	that	go	beyond	just	technical	
expertise.	
n  Effective	communication	skills,	interpersonal	skills,	problem	solving	
abilities,	customer	orientation	etc	are	important	for	an	individual	to	
succeed	in	their	roles.
¡  Create	a	differentiator	
§  Building	Blocks	–	Learn	to	stitch	them	together	
§  Connect	concepts	to	Application	
§  Understanding	the	problem	statement	–	Refining	the	problem	statement,	
stating	the	unstated	
§  Improve	Debugging	Skills	
¡  Good	percentage/CGPA	
¡  Additional	credit/certification	courses	
¡  Additional	workshop	credits	
¡  Independent	Mini	Project	and	Final	Project	
¡  Internship	
¡  Conference	Paper	submissions	-	College,	National	&	International	
¡  Participation	in	extra	curricular	activities	
¡  Improve	your	writing	and	presentation	skills	
¡  Solve	puzzles	!	
¡  Be	up	to	date	on	latest	technology	trends,	productivity	tools	and	social	
media	platform	
¡  Do	your	master	program
¡  Supplement	your	classroom	knowledge	online	
§  Free	computer	science	video	courses	at		
§  Stanford	Engineering	Everywhere	(see.stanford.edu)	
§  MIT	Open	Courseware	(ocw.mit.edu)	
§  IITs	and	IISc.	Courses	(nptel.iitm.ac.in)	
§  KhanAcademy.org	
§  TedEx	and	TED	
	
¡  Develop	software	in	college	
§  Paid	or	unpaid	positions	on	campus	
§  Research	Assistants	for	Professors	(no	task	is	below	you)	
§  Publish	applications	on	Apple	AppStore,	Windows	Phone	
Marketplace,	Android	Market	(one	to	two	week	effort)	
§  Publish	websites	for	your	community	using	free	tools	
(WordPress,	Facebook,	etc.)
¡  Company	websites,	blogs,	newsletters	and	press	releases	
¡  Social	Media	
§  Facebook	(Like	company	page)	
§  YouTube	(Watch	speeches	of	key	industry	leaders,	events,	TED)	
§  Twitter	(Follow	Tweets)	
§  LinkedIn	(Reviews)	
¡  Books	
§  Autobiographies	for	historical	perspective	
§  Books	by	major	players	in	the	target	industry	
¡  Movies	
§  The	Social	Network,	Pirates	of	the	Silicon	Valley,	Wall	Street	
¡  Industry	Association	and	Conferences
¡  Own	your	own	growth	
§  Watch	Stanford/	MIT	courses	to	get	different	perspective	from	
different	professor	(Even	if	all	your	teachers	are	great!)	
§  Maximize	learning	by	offering	to	work	on	challenging	projects	
(Do	not	sit	idle,	you	will	not	grow)	
¡  Look	for	long	term	success,	not	the	immediate	salary	
§  Focus	on	quality	of	projects	offered,	overlook	designations	
§  Sometimes	companies	offer	a	high	package	for	unattractive	jobs	
(e.	g.	hours,	timings,	traveling	job	etc.)	
§  Give	examples	from	relevant	technology	or	projects	during	your	
interviews	
¡  Everyone	gets	only	24	hours	in	day	
§  Use	time	wisely	
§  Avoid	peer	pressure
¡  https://www.cognizant.com/InsightsWhitepapers/the-internet-of-things-impact-and-applications-in-the-high-tech-
industry-codex1223.pdf?
utm_source=perspectives&utm_medium=internal_banner&utm_campaign=perspectives_internal		
¡  http://www.cloud-council.org/deliverables/CSCC-Impact-of-Cloud-Computing-on-Healthcare.pdf		
¡  http://www.cisco.com/c/en_in/about/knowledge-network/cloud-computing.html		
¡  https://www.simplilearn.com/data-science-vs-big-data-vs-data-analytics-article		
¡  http://searchhealthit.techtarget.com/tip/Four-uses-for-artificial-intelligence-in-healthcare		
¡  http://profit.ndtv.com/news/tech-media-telecom/article-20-crore-middle-class-youth-will-be-jobless-due-to-
automation-by-2025-mohan-das-pai-1632831		
¡  https://www.ted.com/talks/bettina_warburg_how_the_blockchain_will_radically_transform_the_economy?
utm_campaign=social&utm_medium=referral&utm_source=facebook.com&utm_content=talk&utm_term=technol
ogy	(BLOCK	CHAIN)	
¡  https://medium.com/@thoszymkowiak/120-machine-learning-business-ideas-from-the-new-mckinsey-report-
b81b239f336?lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BY2z%2F4iSkTX6edcy1nPAifA%3D%3D	
¡  https://www.techrevolution.asia/10-breakthrough-technologies-2017/?
linkId=41779247&lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BiMRkJ243Si%2BUfYMb2G%2BI4A%3D%3D			
¡  https://newsroom.intel.com/editorials/intels-new-self-learning-chip-promises-accelerate-artificial-intelligence/?
utm_source=twitter&utm_medium=organic_social&utm_campaign=ao_cx&sf117772156=1				
¡  https://www.pcworld.com/article/3226741/components-processors/loihi-is-intels-brainy-chip-designed-to-outthink-
your-pcs-core-cpu.html		
¡  http://semiengineering.com/machine-learning-meets-ic-design/#.WbnXv6eypYY.linkedin		
¡  http://articles.sae.org/15639/?
lipi=urn%3Ali%3Apage%3Ad_flagship3_feed%3BFaYncEioQRGFTikSfH6LUw%3D%3D		
¡  https://www.nytimes.com/2017/09/16/technology/chips-off-the-old-block-computers-are-taking-design-cues-from-
human-brains.html
All pictures are from flickr.
with either no copyright or
common creatives
Visit my slideshare to
view all these
presentations
Shivananda	(Shivoo)	R	Koteshwar	
General	Manager	&	Site	Head,	Mediatek	
shivoo.koteshwar@gmail.com/	Facebook:	shivoo.koteshwar	
LINKEDIN:	https://in.linkedin.com/in/shivoo2life
SLIDESHARE:	www.slideshare.net/shivoo.koteshwar

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