1 6035753	cv
      1 2019	iPhones
      1 2019	Apple
      1 2018	Image
      1 2018	Above
      1 2018	8
      1 1120	dimensional
      3 86	7
      2 11	2018
      1 95	percent
      1 83	1
      1 73	percent
      1 42	dialogs
      1 35	percent
      1 28	GamesBeat
      1 26	28
      1 24	Transform
      1 23	24
      1 20	AM
      1 12	percent
      1 11	Deep
      1 10	11
      2 7	accuracy
      2 6	Pancras
      1 8	20
      1 7	percent
      1 5G	modems
      1 4	days
      1 3	significantly
      1 2	inference
      1 2	c2
      1 2	0
      1 1	the
      1 1	percent
      1 1	2018
      1 1	
      1 0	cj
      6 on	device
      6 Icon_Sprites_02	png
      5 Google	s
      4 text	classification
      4 png	Icon_Sprites_02
      4 of	the
      3 tip	Press
      3 Releases	Webinars
      3 Privacy	Policy
      3 Press	Releases
      3 on	the
      3 news	tip
      3 neural	networks
      3 Got	a
      3 device	text
      3 compared	to
      3 a	news
      3 AI	systems
      2 word	embeddings
      2 Webinars	Advertise
      2 VB	EVENTS
      2 Upcoming	Events
      2 to	store
      2 the	team
      2 the	researchers
      2 the	input
      2 that	the
      2 that	are
      2 text	and
      2 team	wrote
      2 such	as
      2 state	of
      2 Square	October
      2 Sponsor	Media
      2 s	on
      2 s	London
      2 reduces	the
      2 recognition	systems
      2 percent	accuracy
      2 PC	Gaming
      2 Partner	Volunteer
      2 Pancras	Square
      2 on	smartphones
      2 of	dimensions
      2 October	11
      2 neural	network
      2 networks	and
      2 need	to
      2 natural	language
      2 memory	footprint
      2 Media	Partner
      2 low	dimensional
      2 London	HQ
      2 locality	sensitive
      2 l	l
      2 language	tasks
      2 INVOLVED	Sponsor
      2 incoming	text
      2 in	2019
      2 HQ	at
      2 Heartland	Tech
      2 GET	INVOLVED
      2 EVENTS	Upcoming
      2 Events	GET
      2 Dialog	Act
      2 classification	AI
      2 CHANNELS	GamesBeat
      2 Big	Data
      2 at	the
      2 at	6
      2 As	the
      2 AR	VR
      2 and	word
      2 and	other
      2 a	model
      2 AI	achieves
      2 Advertise	Privacy
      2 Act	Corpus
      2 achieves	86
      1 yet	for
      1 years	In
      1 wrote	We
      1 wrote	SGGNs
      1 wrote	and
      1 worst	disappointments
      1 work	the
      1 words	to
      1 words	and
      1 word	embedding
      1 with	the
      1 with	storage
      1 with	record
      1 with	projection
      1 without	preprocessing
      1 without	having
      1 with	non
      1 with	mobile
      1 with	high
      1 with	graph
      1 with	developing
      1 with	Bitcoin
      1 with	a
      1 Wiggers	Kyle_L_Wiggers
      1 which	is
      1 which	contains
      1 when	it
      1 what	s
      1 what	help
      1 were	95
      1 well	or
      1 week	at
      1 we	do
      1 Webinars	Privacy
      1 We	believe
      1 wearables	and
      1 ways	to
      1 WaveNet	based
      1 want	to
      1 VR	Marketing
      1 VR	Big
      1 Voysis	announced
      1 Volunteer	NEWSLETTERS
      1 Volunteer	Got
      1 voice	recognition
      1 vocabulary	or
      1 very	fast
      1 very	effective
      1 version	of
      1 VentureBeat	MOST
      1 VentureBeat	Google
      1 VentureBeat	Feed
      1 VENTUREBEAT	About
      1 vectors	that
      1 vector	regardless
      1 variants	the
      1 us	to
      1 use	of
      1 useful	for
      1 used	two
      1 used	in
      1 used	a
      1 U	S
      1 UPCOMING	EVENTS
      1 unique	words
      1 two	speakers
      1 two	dialog
      1 t	scale
      1 Transportation	Got
      1 Transportation	Entrepreneur
      1 translation	and
      1 translate	one
      1 Transform	Jul
      1 transforming	inputs
      1 trains	on
      1 TPUs	on
      1 to	word
      1 to	the
      1 to	short
      1 to	more
      1 to	memory
      1 to	investigate
      1 to	initialize
      1 to	high
      1 to	evaluate
      1 to	design
      1 to	compute
      1 to	choose
      1 to	buy
      1 to	best
      1 to	35
      1 tiny	memory
      1 thriving	Marketplace
      1 thousands	of
      1 though	In
      1 this	week
      1 This	reduces
      1 They	re
      1 they	re
      1 the	worst
      1 the	use
      1 the	tiny
      1 the	SWDA
      1 the	same
      1 The	researchers
      1 There	s
      1 there	are
      1 the	proposed
      1 The	problem
      1 the	paper
      1 the	number
      1 the	need
      1 the	name
      1 The	main
      1 the	locality
      1 the	incoming
      1 the	human
      1 the	heart
      1 the	fly
      1 the	edge
      1 the	device
      1 the	Conference
      1 the	compression
      1 the	cloud
      1 The	best
      1 the	benchmarked
      1 the	behavior
      1 the	art
      1 the	air
      1 that	similar
      1 that	represent
      1 that	reduces
      1 that	mimic
      1 that	its
      1 that	can
      1 that	achieve
      1 than	the
      1 text	very
      1 text	representations
      1 tech	that
      1 tech	startups
      1 technique	that
      1 techniques	like
      1 Tech	Marketing
      1 Tech	AR
      1 task	This
      1 tasks	The
      1 tasks	Our
      1 tasks	compared
      1 tagging	parsing
      1 systems	were
      1 systems	They
      1 systems	such
      1 systems	Self
      1 systems	In
      1 systems	have
      1 systems	by
      1 Switchboard	Dialog
      1 SWDA	which
      1 SWDA	and
      1 s	vocabulary
      1 s	used
      1 surprises	the
      1 Summit	Apr
      1 suitcase	4
      1 such	natural
      1 study	also
      1 store	the
      1 store	text
      1 store	any
      1 storage	requirements
      1 S	tech
      1 startup	Voysis
      1 startups	face
      1 s	Smart
      1 s	self
      1 speed	And
      1 specific	operations
      1 specific	dialog
      1 speakers	and
      1 s	Ovid
      1 so	that
      1 Social	Transportation
      1 Social	Enterprise
      1 Smart	Reply
      1 smartphones	wearables
      1 smartphones	and
      1 small	memory
      1 size	as
      1 since	we
      1 similar	items
      1 significantly	low
      1 shows	that
      1 short	fixed
      1 short	email
      1 s	hope
      1 SGNNs	that
      1 SGGN	Switchboard
      1 SGGNs	used
      1 SGGNs	in
      1 SGGNs	allow
      1 SGGN	outperformed
      1 SGGN	employs
      1 sequences	of
      1 September	Dublin
      1 sensitive	projections
      1 sensitive	hashing
      1 semantic	text
      1 Self	Governing
      1 self	governing
      1 self	driving
      1 Security	Social
      1 Security	Dev
      1 s	cats
      1 scale	well
      1 Sawers	VentureBeat
      1 s	authors
      1 Samsung	and
      1 same	buckets
      1 run	offline
      1 RNN	variants
      1 re	what
      1 results	in
      1 result	in
      1 responses	But
      1 researchers	wrote
      1 researchers	used
      1 researchers	plan
      1 researchers	described
      1 researchers	at
      1 requirements	exceeding
      1 represent	words
      1 representations	with
      1 representations	that
      1 Reply	and
      1 related	tasks
      1 regardless	of
      1 re	frequently
      1 recurrent	neural
      1 record	facial
      1 Recorder	Dialog
      1 recognition	and
      1 recent	years
      1 READ	I
      1 Quantcast	p
      1 Qualcomm	claimed
      1 proposed	method
      1 projections	jointly
      1 projection	functions
      1 projection	for
      1 processors	In
      1 Processing	in
      1 problem	is
      1 probability	As
      1 pretraining	embeddings
      1 presented	this
      1 preprocessing	tagging
      1 predictive	for
      1 Policy	NEWSLETTERS
      1 Policy	EVENTS
      1 Policy	AI
      1 png	CHANNELS
      1 png	____________________
      1 plan	to
      1 pizza	with
      1 phrases	In
      1 performing	systems
      1 performant	offline
      1 performance	computing
      1 percent	without
      1 percent	to
      1 percent	and
      1 percent	accurate
      1 p	c1
      1 Paul	Sawers
      1 partners	UPCOMING
      1 particularly	when
      1 parsing	or
      1 paper	s
      1 paper	presented
      1 pandas	and
      1 Pandamonium	from
      1 Ovid	self
      1 outperformed	both
      1 Our	study
      1 other	natural
      1 other	mobile
      1 other	devices
      1 or	store
      1 or	result
      1 or	pretraining
      1 or	mapping
      1 or	feature
      1 operations	that
      1 only	run
      1 on	Japanese
      1 on	Empirical
      1 One	Minecraft
      1 one	language
      1 on	data
      1 of	unique
      1 of	thousands
      1 of	state
      1 of	SGGNs
      1 of	neurons
      1 of	multiparty
      1 of	mathematical
      1 offline	on
      1 offline	but
      1 offline	algorithms
      1 offline	AI
      1 of	bits
      1 of	83
      1 obviates	the
      1 objection	recognition
      1 object	detection
      1 number	of
      1 November	1
      1 not	only
      1 not	need
      1 non	linear
      1 NEWSLETTERS	VENTUREBEAT
      1 NEWSLETTERS	____________________
      1 new	government
      1 neurons	in
      1 Neural	Networks
      1 Networks	SGNNs
      1 networks	layers
      1 network	models
      1 network	architectures
      1 Natural	Language
      1 name	implies
      1 myriad	ways
      1 multiparty	meetings
      1 MRDA	datasets
      1 MOST	READ
      1 most	either
      1 more	predictive
      1 Moreover	as
      1 more	complex
      1 modified	version
      1 modems	in
      1 model	without
      1 model	with
      1 models	on
      1 models	By
      1 model	like
      1 mobile	processors
      1 Mobile	PC
      1 mobile	devices
      1 Mobile	Cloud
      1 Minecraft	s
      1 mimic	the
      1 millions	of
      1 methods	with
      1 Methods	in
      1 method	is
      1 memory	and
      1 meetings	SGGN
      1 Meeting	Recorder
      1 MediaTek	for
      1 Media	Mobile
      1 Media	Business
      1 May	Qualcomm
      1 mathematical	functions
      1 Marketplace	partners
      1 Marketing	Media
      1 Marketing	Big
      1 Mar	26
      1 map	to
      1 mapping	input
      1 main	challenges
      1 machine	translation
      1 l	VB
      1 LSH	a
      1 low	computational
      1 load	or
      1 linear	functions
      1 like	locality
      1 like	incorporating
      1 lightweight	on
      1 length	sequences
      1 learns	to
      1 learning	which
      1 learn	a
      1 leaps	and
      1 l	CHANNELS
      1 layers	of
      1 latency	and
      1 large	models
      1 Language	Processing
      1 language	into
      1 Kyle	Wiggers
      1 Kyle_L_Wiggers	November
      1 Jul	10
      1 jointly	coupled
      1 Japanese	close
      1 I	want
      1 it	trains
      1 its	on
      1 it	s
      1 it	learns
      1 items	so
      1 items	map
      1 it	comes
      1 it	can
      1 it	achieved
      1 is	what
      1 is	very
      1 is	they
      1 iPhones	Catastrophic
      1 investigate	the
      1 into	low
      1 into	another
      1 in	the
      1 in	specific
      1 In	September
      1 in	recent
      1 inputs	into
      1 input	items
      1 input	dimension
      1 input	data
      1 in	other
      1 in	Natural
      1 in	May
      1 in	large
      1 initialize	load
      1 in	Google
      1 In	future
      1 inference	latency
      1 In	experiments
      1 in	data
      1 incorporating	a
      1 in	Brussels
      1 In	August
      1 In	a
      1 implies	it
      1 Image	Credit
      1 ICSI	Meeting
      1 ____________________	Icon_Sprites_02
      1 hundreds	of
      1 human	brain
      1 hope	yet
      1 high	probability
      1 high	performance
      1 higher	than
      1 help	translate
      1 heart	of
      1 having	to
      1 have	advanced
      1 hashing	or
      1 hashing	LSH
      1 hardware	constrained
      1 graph	learning
      1 GPUs	and
      1 government	controls
      1 Governing	Neural
      1 governing	it
      1 Google	researchers
      1 Google	developed
      1 given	task
      1 generates	short
      1 Gaming	Security
      1 Gaming	Commerce
      1 GamesBeat	Summit
      1 GamesBeat	Esports
      1 GamesBeat	AI
      1 GameMode	One
      1 future	work
      1 functions	that
      1 functions	Moreover
      1 functions	are
      1 from	millions
      1 from	GameMode
      1 from	business
      1 frequently	hardware
      1 ForwardX	s
      1 for	text
      1 for	such
      1 for	performant
      1 for	an
      1 for	a
      1 for	5G
      1 footprint	on
      1 footprint	2
      1 fly	with
      1 fixed	length
      1 fixed	1120
      1 Feed	VentureBeat
      1 Feed	alternate
      1 feature	size
      1 feature	by
      1 fast	on
      1 facial	recognition
      1 face	new
      1 extract	addresses
      1 explained	there
      1 experiments	SGGNs
      1 exceeding	hundreds
      1 EVENTS	VB
      1 EVENTS	l
      1 EVENTS	BLUEPRINT
      1 evaluate	SGGN
      1 Esports	Heartland
      1 Esports	AI
      1 Entrepreneur	EVENTS
      1 Entrepreneur	Esports
      1 Enterprise	Transportation
      1 Enterprise	Entrepreneur
      1 employs	a
      1 Empirical	Methods
      1 embeddings	vectors
      1 embeddings	As
      1 embeddings	And
      1 embedding	methods
      1 email	responses
      1 either	don
      1 effective	for
      1 effective	at
      1 edge	convolutional
      1 edge	AI
      1 dynamically	transforming
      1 Dublin	startup
      1 driving	suitcase
      1 don	t
      1 do	not
      1 disappointments	U
      1 dimensions	The
      1 dimensions	in
      1 dimension	from
      1 dimensional	vector
      1 dimensional	semantic
      1 dimensional	representations
      1 dialogs	acts
      1 dialog	related
      1 dialog	corpus
      1 dialog	act
      1 Dev	Social
      1 device	voice
      1 devices	with
      1 devices	particularly
      1 device	since
      1 device	are
      1 device	AI
      1 Dev	Enterprise
      1 developing	and
      1 developed	offline
      1 detection	speed
      1 design	a
      1 described	offline
      1 deploying	deep
      1 Deep	neural
      1 deep	neural
      1 deep	CNN
      1 days	at
      1 datasets	to
      1 datasets	it
      1 data	s
      1 Data	Media
      1 data	it
      1 data	by
      1 Data	Business
      1 cv	2
      1 Credit	Paul
      1 CPUs	GPUs
      1 coupled	with
      1 Corpus	SWDA
      1 corpus	of
      1 Corpus	a
      1 convolutional	neural
      1 controls	in
      1 contrast	SGGN
      1 contains	two
      1 Contact	Got
      1 constrained	on
      1 considered	Samsung
      1 Conference	on
      1 computing	systems
      1 compute	a
      1 computation	There
      1 computational	capacity
      1 compression	techniques
      1 complex	neural
      1 Commerce	Security
      1 Commerce	Dev
      1 Comments	Feed
      1 comes	to
      1 CNN	and
      1 cloud	the
      1 Cloud	PC
      1 Cloud	Commerce
      1 close	to
      1 classification	model
      1 classification	applications
      1 claimed	that
      1 cj	1
      1 choose	and
      1 CHANNELS	l
      1 CHANNELS	CHANNELS
      1 challenges	with
      1 CES	The
      1 cats	pandas
      1 Catastrophic	Pandamonium
      1 Careers	Contact
      1 cards	The
      1 capturing	low
      1 capacity	compared
      1 can	not
      1 can	learn
      1 c2	6035753
      1 c1	2
      1 by	leaps
      1 by	hashing
      1 by	dynamically
      1 By	contrast
      1 by	12
      1 buy	pizza
      1 BUTTON	CHANNELS
      1 ____________________	BUTTON
      1 but	on
      1 But	most
      1 Business	Mobile
      1 Business	Cloud
      1 business	cards
      1 buckets	with
      1 Brussels	Belgium
      1 brain	are
      1 bounds	in
      1 both	baseline
      1 BLUEPRINT	Mar
      1 bleeding	edge
      1 bits	the
      1 Bitcoin	again
      1 best	surprises
      1 best	performing
      1 benchmarked	against
      1 benchmark	datasets
      1 believe	that
      1 Belgium	Google
      1 behavior	of
      1 baseline	AI
      1 based	tech
      1 automatically	generates
      1 authors	explained
      1 August	researchers
      1 At	the
      1 at	Google
      1 a	technique
      1 at	CES
      1 at	capturing
      1 a	small
      1 as	it
      1 as	deep
      1 as	CPUs
      1 as	compared
      1 art	machine
      1 are	useful
      1 are	myriad
      1 are	more
      1 are	effective
      1 are	at
      1 are	1
      1 architectures	such
      1 a	projection
      1 Apr	23
      1 apply	specific
      1 applications	At
      1 Apple	considered
      1 a	paper
      1 any	feature
      1 another	and
      1 announced	WaveNet
      1 an	incoming
      1 And	with
      1 and	TPUs
      1 and	thriving
      1 and	RNN
      1 and	recurrent
      1 and	phrases
      1 and	obviates
      1 and	objection
      1 and	object
      1 and	MRDA
      1 and	MediaTek
      1 And	in
      1 and	ICSI
      1 and	extract
      1 and	deploying
      1 and	computation
      1 and	bounds
      1 and	automatically
      1 and	apply
      1 and	86
      1 and	73
      1 and	42
      1 and	3
      1 an	accuracy
      1 a	modified
      1 AM	Google
      1 alternate	Icon_Sprites_02
      1 alternate	alternate
      1 also	shows
      1 allow	us
      1 a	lightweight
      1 algorithms	though
      1 AI	with
      1 air	results
      1 AI	Heartland
      1 AI	Google
      1 AI	AR
      1 a	given
      1 against	bleeding
      1 again	ForwardX
      1 a	fixed
      1 Advertise	Careers
      1 advanced	by
      1 a	dialog
      1 addresses	from
      1 acts	and
      1 act	benchmark
      1 achieve	state
      1 achieved	an
      1 accurate	Quantcast
      1 accuracy	on
      1 accuracy	of
      1 accuracy	Kyle
      1 accuracy	higher
      1 accuracy	Comments
      1 Above	Google
      1 About	Advertise