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Google's AI Chief Wants to Do More With Less (Data)@JeffDean says: We want to build systems that can generalize to a new task. Being able to do things with much less data and with much less computation is going to be interesting and importanthttps://t.co/G0LEQJ4Qos
— Arman Anwar (@armaninspace) December 16, 2019
Clune says AI researchers should see the way nature generates endless new variety as an inspiration and a benchmark.“We as computer scientists don’t know any algorithms that you would want to run for a billion years and would still do something interesting”https://t.co/EZJ0TQJeN0
— Jeff Clune (@jeffclune) December 16, 2019
Another signal for your AI scenarios: “Leaders in artificial intelligence warn that progress is slowing, big challenges remain, and simply throwing more computers at a problem isn't sustainable.” https://t.co/61NZR39iYa
— Johannes Kleske (@jkleske) December 16, 2019
“We have machines that learn in a very narrow way,” says Yoshua Bengio, an artificial intelligence researcher who shared computing's highest honor this year. https://t.co/B9M1SmQVzg
— WIRED (@WIRED) December 13, 2019
Google AI chief Jeff Dean interview: Machine learning trends in 2020 https://t.co/ukCrcyKHKu via @VentureBeat
— Maria Luciana Axente (@maria_axente) December 16, 2019
Here are trends to watch in the #MachineLearning space next year, according to Google's #AI chief. #InsurTech #FinTech https://t.co/aWGb2bzfac
— Florian Graillot (@FGraillot) December 15, 2019
Google AI chief Jeff Dean interview: Machine learning trends in 2020 https://t.co/RA8QRKKp9G #artificialintelligence, #datascience, #datascience #ds, #deeplearning, #machinelearning, #neuralnetworks
— Richard Eudes, PhD (@RichardEudes) December 15, 2019
Google #AI chief @JeffDean interview: #MachineLearning trends in 2020 https://t.co/0mnnZ0t1pG #fintech #ArtificialIntelligence #MachineLearning #DeepLearning @KHARIJOHNSON @GoogleAI @VentureBeat @DimDrandakis @sallyeaves @pierrepinna @HaroldSinnott @Fisher85M @psb_dc pic.twitter.com/ShzardiSqU
— Spiros Margaris (@SpirosMargaris) December 13, 2019
Google AI chief @jeffdean on the use of ML to create semiconductors for machine learning, the impact of BERT on conversational AI, and machine learning trends to watch in 2020 https://t.co/bF6ULLcTpp
— Emil Protalinski (@EPro) December 13, 2019
#Google #AI chief: It’s important to look at more efficient #algorithmic techniques, that make a particular model or #computation that we want, be achievable with less energy input.https://t.co/MnrKBy6QAA
— David Shoham Sachs (@DavidmSachs) December 13, 2019
Google #AI chief Jeff Dean interview: #MachineLearning trends in 2020 https://t.co/Uhg1CFmlcz via @VentureBeat pic.twitter.com/PLCc0gINLc
— Tamara McCleary (@TamaraMcCleary) December 15, 2019
Google AI chief Jeff Dean interview: Machine learning trends in 2020
— Vincent Terrasi (@VincentTerrasi) December 16, 2019
Very interesting about Tackling Climate Change with Machine Learninghttps://t.co/E6t9YjoiKS
Google AI chief Jeff Dean interview: Machine learning trends in 2020 https://t.co/krOjIalc28
— Pedro Dias: ~/pedro$ (@pedrodias) December 14, 2019
Google #AI chief Jeff Dean interview: Machine learning trends in 2020 @digentre https://t.co/kSCfzXgwhf via @akwyz @Paula_Piccard on @refindcom
— Thomas Power (@thomaspower) December 16, 2019
.@JeffDean talking about how they're using ML to optimize ASIC chip design. Super cool.https://t.co/RNfyOZvw6w pic.twitter.com/T2q1o0GBlc
— Vinay Hiremath (@vhmth) December 16, 2019
#Google #AI Chief Jeff Dean interview: Machine learning trends in 2020 #ml https://t.co/Hbfjlqs8xj
— Dave Max (@Dave_Max) December 16, 2019
Google's #AI #Chief
— Spiros Margaris (@SpirosMargaris) December 14, 2019
Wants to Do More With Less (Data) https://t.co/UNjtTFQnnw #fintech #BigData #ArtificialIntelligence #MachineLearning #DeepLearning @WIRED @tsimonite @JeffDean @DimDrandakis pic.twitter.com/o4T7kX0bV7
What does the leader in machine learning look into the future? #machinelearning #technology https://t.co/g91MhT7kCQ
— ComputerXplorers Manchester (@ComputerXploreM) December 15, 2019
Is doing more with less data the next frontier of #MachineLearning #ArtificialIntelligence? @WIRED interview with @JeffDean https://t.co/Payg1peq0E
— Sema Sgaier (@SemaSgaier) December 16, 2019
One new idea for Google and @JeffDean: using machine learning for processors. Teach AI the parameters for a game of “chip design” and see if it can be more efficient than humans. https://t.co/9M0KKKhULh
— Nicholas Thompson (@nxthompson) December 14, 2019
Google's AI Chief Wants to Do More With Less (Data) https://t.co/ZwhGka4kVb pic.twitter.com/5Eyl9rz8v2
— Rich Tehrani (@rtehrani) December 15, 2019
A Sobering Message
— Spiros Margaris (@SpirosMargaris) December 13, 2019
About the Future at #AI's Biggest Party https://t.co/uSZg2qhUBn #fintech @tsimonite @WIRED #ArtificialIntelligence #MachineLearning #DeepLearning @KirkDBorne @diioannid @ahier @KMcDSAP @Thomas_Harrer @horstwilmes @JeroenBartelse @jeffclune@DimDrandakis pic.twitter.com/fqQsJN06BT
A Sobering Message About the Future at AI's Biggest Party
— Ross Dawson (@rossdawson) December 16, 2019
Leaders in artificial intelligence warn that progress is slowing, big challenges remain, and simply throwing more computers at a problem isn't sustainable.@WIRED https://t.co/SePzvaeq16
A keynote at #NeurIPS2019 stated what has been obvious to many of us for years: #DeepLearning is not good for "reasoning or social intelligence, such as weighing up a potential hire the way a human would". DL is not #ArtificialIntelligence but recognition. https://t.co/eHoVpMUsZH
— Rafal Lukawiecki (@rafaldotnet) December 16, 2019
A sobering message about the future at a large #AI event. Need continually better #Algorithms & other #AI elements, not just more computer resource @kashthefuturist @HaroldSinnott @Ronald_vanLoon @Paula_Piccard @terence_mills @kuriharan https://t.co/YwPzxvNwRy
— Terence Leung (@TerenceLeungSF) December 16, 2019
A Sobering Message About the Future at AI's Biggest Partyhttps://t.co/KnYFVicl4P via @WIRED #AI #Technology #TechTrends #TechPlayers #innovation #DL #ML
— ?????? ??????? ? (@AudreyDesisto) December 15, 2019
cc: @sallyeaves @YuHelenYu @Paula_Piccard @alison_iot @MikeQuindazzi pic.twitter.com/Wx8R3pTb83
“Leaders in artificial intelligence warn that progress is slowing, big challenges remain, and simply throwing more computers at a problem isn't sustainable.” #NeurIPSGreatDebate @tsimonite https://t.co/EFG56vSOUA
— hardmaru (@hardmaru) December 13, 2019
A Sobering Message About the Future at AI's Biggest Party #DeepLearning #machinelearning https://t.co/YME2gStcWa
— TC Conseil (@CarrierThibault) December 16, 2019
Current status of AI/DL: Need reasoning and be cautious about the hype. Tell me something new! Rest of the CS community has been saying this
— Juan Sequeda (@juansequeda) December 15, 2019
Some interesting quotes:
“Problems that involve reasoning or social intelligence ... are still out of reachhttps://t.co/YDbV2voFgZ
A sobering message about the future at AI’s biggest party https://t.co/gz5xNRllGt Open #News #Edu & #Singularty Award @arstechnica #ai
— Whymandesign (@whymandesign) December 16, 2019
A Sobering Message About the Future at AI's Biggest Party via @WIRED https://t.co/3rxfJPWADt @JohnAFlood @David_Gunkel @EmergTechEthics @PabloRedux @sd_marlow
— Paresh Kathrani (@PKathrani) December 15, 2019
#AI is likely to move at a slower pace than most researchers expected - seems to be a message one is reading more of these days. https://t.co/KwZj1DzWGm
— Sangeeta Gupta (@sangeetagupta29) December 14, 2019
“Yoshua Bengio and @blaiseaguera both urged NeurIPS attendees to think more about the biological roots of natural intelligence.”
— ?????? ????? (@rhyolight) December 13, 2019
The biology / maths research focus cycle repeats once every 50 years. https://t.co/C6A2bdHLmY
AI experts urge machine learning researchers to tackle climate change https://t.co/nltAB4MZve pic.twitter.com/WSARkfsFRv
— bas (@hadopiland) December 16, 2019
#AI experts urge #machinelearning researchers to tackle #climatechange https://t.co/5TuuOeZKqW via @VentureBeat @PawlowskiMario @Nicochan33 @Paula_Piccard @Ronald_vanLoon
— Margaret Siegien (@MargaretSiegien) December 16, 2019
@enricomolinari @mvollmer1
Great interview with at @JeffDean, discussing some of @Azaliamirh and my work on ASIC design with ML: https://t.co/JlA3MN9XAu
— Anna D Goldie (@annadgoldie) December 16, 2019
#Google #AI chief Jeff Dean interview:#Machinelearning trends in 2020 by @venturebeathttps://t.co/kVFOgQwunb#DeepLearning #DL #Linux #ML
— ??️CODE (@techopcode) December 14, 2019
Google's @JeffDean on the ML outlook. Watch the stuff about specialty chips.
— Quentin Hardy (@qhardy) December 14, 2019
Tech's curve -inspiration/science/engineering/manufacturing - is advances being seen/repeated/applied/promulgated, becoming cheaper and more pervasive. Probably the AI story.https://t.co/ANx1drSlxB
Fun 5 minutes peeking inside the brain of Google's AI chief on what's coming nexthttps://t.co/UP5x76GrXb
— Scott Penberthy (@scottpenberthy) December 13, 2019
Google #AI chief Jeff Dean interview: Machine learning trends in 2020 https://t.co/m2Fb9cv4Q3 pic.twitter.com/VjvMTPCCm0
— Antonio Vieira Santos #️⃣#CES2020? (@AkwyZ) December 13, 2019
Jeff Dean Q&A, the article wasn't trained on SQuAD.#NLProc #MachineLearning #AI #ArtificialIntelligence https://t.co/1WzTpmvyXI
— Quantum Stat (@Quantum_Stat) December 17, 2019
Google's AI Chief Wants to Do More With Less (Data) https://t.co/ZwhGka4kVb
— Rich Tehrani (@rtehrani) December 16, 2019
We have to ask ourselves AND Google if this is enough. What do you think?
— Heidi Boisvert (@hjboisvert) December 16, 2019
"There's much better understanding about how we [put] these principles into effect... like how should you go about collecting data to ensure that it's not biased. #NeurIPS #AIEthicshttps://t.co/ecsq9sHOif
A Sobering Message About the Future at #AI's Biggest Party https://t.co/SShE4v1sPY #VC #startup pic.twitter.com/EcjEfsH5z5
— Tamara McCleary (@TamaraMcCleary) December 17, 2019
A Sobering Message About the Future at AI's Biggest Party | WIRED https://t.co/8xxPpz9K1l
— veselin jevrosimovic (@vjevrosimovic) December 17, 2019
#ai vs humans, and it’s actually good news (if you’re a human)
— Anita Lettink (@Let_Anita) December 15, 2019
“Problems that involve reasoning or social intelligence, such as weighing up a potential hire in the way a human would, are still out of reach”
https://t.co/VpexByd0Yt
Interesting read by @WIRED's @tsimonite "A Sobering Message About the Future at #AI's Biggest Party"
— Gabriele Fariello (@g_fariello) December 17, 2019
I no longer attend @NeurIPSConf as it's too big to be useful, IMHO, but it remains prestigious. https://t.co/xwClDgB7rD
Looks like they're hitting snags on the whole creating sentience thing, and may stall out at "we built a computer that will offer to sell you things like the stuff you just bought." Close enough. https://t.co/9QWoMlTl7i
— Derek (@ricketyoldshack) December 16, 2019
Why #AI experts urge #MachineLearning researchers
— Spiros Margaris (@SpirosMargaris) December 17, 2019
to tackle #ClimateChange https://t.co/bPxpkz0NMr #fintech #insurtech #ArtificialIntelligence #DeepLearning #BigData @KHARIJOHNSON @VentureBeat @Xbond49 @jblefevre60 @psb_dc @leimer @guzmand @DianeKazarian @Thomas_Harrer pic.twitter.com/sXQNYme3Al
#AI experts urge machine learning researchers to tackle climate change | via @VentureBeat https://t.co/fIvUqsZDcN
— Rob McCargow (@RobMcCargow) December 17, 2019
#AI experts urge #machinelearning researchers to tackle #climatechangehttps://t.co/9PvJLaTy4D
— Jonathan Young (@jamboreejon) December 17, 2019
#AI experts urge #machinelearning researchers to tackle #climatechangehttps://t.co/1FLh9KkfwR
— Gregory M. Thomas. (五大訴求 缺一不可) ? (@gregsgroove) December 17, 2019
#AI experts urge #machinelearning researchers to tackle #climatechangehttps://t.co/9ZbqzMbV6l
— May Ho (@maysmind888) December 17, 2019
Interesting read: At the Tackling Climate Change workshop, some of the top minds in machine learning came together to discuss how AI can tackle #climatechangehttps://t.co/9nJBAyl28e
— The CLEO Institute (@CLEOInstitute) December 16, 2019
AI experts urge machine learning researchers to tackle climate change https://t.co/enuDCU4Vpc pic.twitter.com/8p60vLWlhd
— Rich Tehrani (@rtehrani) December 16, 2019