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Stockholm.AI #1 9 NovemberSUP46

18:00 - 18:10

18:10 - 18:20

18:20 - 18:30

18:30 - 20:00

20:00 - 21:00

Agenda

Door Opens

AI Update

Audience intro’s

Talks

Mingling

Joseph Michael // Startup/Tech at City of Stockholm City of Stockholm supporting startups and the AI ecosystem

Hjalmar Nilsonne // Founder & CEO of Watty Experiences from the frontline: Watty's founding story and more…

Magnus Sahlgren // Founder & Chief Scientist of Gavagai Distributional Semantics/Word Embeddings

Bjarke Staun-Olsen // Investment Manager at Creandum From AI startup founder to Venture Capitalist

18:30

18:40

19:10

19:40

Shout out to our Sponsor(s?)

AI UPDATE OCT-NOV 2016

AI UPDATEOctober - Nov 2016

Microsoft joined the other major firms announcing a significant strategic realignment spurred on by artificial intelligence. - Custom AI hardware (#) - Reorganisation around a 5,000 person AI division (#)

(figure via @azeem)

AI UPDATEOctober - Nov 2016 “Partnership on AI” (#) launched (#) including the likes of Facebook, Amazon, Microsoft, Google's DeepMind and IBM

AI UPDATEOctober - Nov 2016 Baidu launches medical chatbot to help Chinese doctors diagnose patients [x]

AI UPDATEOctober - Nov 2016 First Stanford report as part of its 100 years of AI [#]

AI UPDATEOctober - Nov 2016 Nightmare Faces [#]

AI UPDATEOctober - Nov 2016 Can AI beat StarCraft II? - Deepmind partnering with Blizzard [#]

AI UPDATEOctober - Nov 2016 Can AI beat Doom? - ResearchDoom [#]

AI & CreativityOctober 2016 - November 2016

- Autodesk generative design lab (#) experiments with algorithmically designed furniture, like the Elbo chair. (#) - Adobe highlights its focus on AI at its MAX 2016 conference (#) and CEO Shantanu Narayen previews its AI powered Adobe Sensei (# #) which will be build into the Adobe Creative Cloud

- The “war on style-transfer”: Facebook launches real-time style-transfer for iOS and Android using its Caffe2Go framework (#), similar to Prima (“), and earlier Google (#) using TensorFlow

Autodesk Elbo chair

Facebookstyle transfer demo

Google style transfer demo

(Autonomous) VehiclesOctober 2016 - November 2016

- BNEF and McKinsey report [#] argues that "a radically different future based around three models of advanced urban mobility that are achievable by 2030." These modes are clean-and-shared, private autonomy and seamless mobility.- Mercedes-Benz its autonomous vehicles might protect passengers ahead of pedestrians. "“If all you know for sure is that one death can be prevented, then that’s your first priority.” [#] - Bad news for Tesla: Germany’s Federal Highway Research Institute found that the autopilot feature of the Tesla Model S constitutes a “considerable traffic hazard.” [#] - Tipping point for electric vehicles? EV sales have passed 1% of the global market, approaching 2m this year [#] - Uber lost an UK Employment Tribunal over the employment status of its drivers [#] [#] - Comma (which makes self-driving add-on to cars) has decided to cancel his Comma One after a regulator sent a letter, according to CEO George Hotz [#] - Elon Musk talks about the forthcoming Tesla Network, a ride marketplace. He describes this as the "people vs Uber" where the majority of the value will go to the owner of the car not to the operator of the platform. [#] - Uber launches Uber Freight, a marketplace for trucking [#] - Alphabet creates a stand-alone self-driving car business [#]

Hardware / ComputingNew p2 instance for amazon ec2 (up to 8 NVIDIA Tesla K80

Accelerators // 2x NVIDIA GK210 GPUs // 12 GiB of GPU memory) #

• Deep Learning AMI #

Hardware / Computing-- Google building a new computer chip for artificial intelligence (Tensor

Processing Unit, TPU) - Intel acquires Altera, Nirvana and Movidius

- Apple investing heavily in Mobile GPU computing (#)

Data• 8M Youtube (# # #)

• 9M Open Images (# # # #)

• LAMBADA Human Dialogues (# #)

• 223GB of Driving Data (# # #)

“Reasoning”

Contextual RNN-GANs for Abstract Reasoning Diagram Generation # Arnab Ghosh, Viveka Kulharia, Amitabha Mukerjee, Vinay Namboodiri, Mohit Bansal

Generative Adversarial Networks (GANS)Breakthroughs in

Conditional Image Synthesis With Auxiliary Classifier GANs # # Augustus Odena, Christopher Olah, Jonathon Shlens (Google Brain)

Generative Adversarial Networks (GANS)Breakthroughs in

Conditional Image Synthesis With Auxiliary Classifier GANs # # Augustus Odena, Christopher Olah, Jonathon Shlens (Google Brain)

Generative Adversarial Networks (GANS)for generation

Breakthroughs in

Neural Machine Translation in Linear Time # Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, Koray Kavukcuoglu (Google DeepMind)

Long term Time dependencies: “Dilated” ConvolutionsBreakthroughs in:

WaveNet: A Generative Model for Raw Audio # # (Google DeepMind)

Multi-Scale Context Aggregation by Dilated Convolutions # Fisher Yu, Vladlen Koltun (Princeton & Intel Labs)

Long term Time dependencies: “Dilated” ConvolutionsBreakthroughs in:

Multi-Scale Context Aggregation by Dilated Convolutions # Fisher Yu, Vladlen Koltun (Princeton & Intel Labs)

Big Bigger Biggest: Sparsely-Gated Mixture-of-Experts Layer Shazeer et al (Google) // 128 K40 GPUs // 36B parameter neural net

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer # Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, and Jeff Dean (Google Brain & Jagiellonian University)

Machine Learning ArchitecturesBreakthroughs in

RNNs generating RNN architectures

Neural Architecture Search with Reinforcement Learning, # Barret Zoph, Quoc Le (Google Brain)

Machine Learning ArchitecturesBreakthroughs in

“memory” with differentiable neural computers (DNC)

Hybrid computing using a neural network with dynamic external memory # # # Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou, Adrià Puigdomènech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu & Demis Hassabis (Google Deepmind)

Machine Learning ArchitecturesBreakthroughs in

“memory” with differentiable neural computers(DNC)

Neural Architecture Search with Reinforcement Learning, # # #

Graph Convolutional Networks

papers: Kipf & Welling (2016), Semi-Supervised Classification with Graph Convolutional Networks # Defferrard et al. (NIPS 2016), Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering #

Machine Learning ArchitecturesBreakthroughs in

Multi-layer Graph Convolutional Network (GCN) with first-order filters. #

Graph Convolutional Networks

Machine Learning ArchitecturesBreakthroughs in

#

papers: Kipf & Welling (2016), Semi-Supervised Classification with Graph Convolutional Networks # Defferrard et al. (NIPS 2016), Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering #

• http://www.kurzweilai.net/new-mit-technique-reveals-the-basis-for-machine-learning-systems-hidden-decisions

• Facebook released a feature allowing advertisers to exclude particular racial groups from ad targeting. https://www.propublica.org/article/facebook-lets-advertisers-exclude-users-by-race

• http://www.nature.com/news/can-we-open-the-black-box-of-ai-1.20731

• http://idlewords.com/talks/deep_fried_data.htm

• https://www.propublica.org/article/breaking-the-black-box-how-machines-learn-to-be-racist

• http://www.nature.com/news/there-is-a-blind-spot-in-ai-research-1.20805

• https://newhumanist.org.uk/articles/5104/whats-wrong-with-big-data

Updates > AI & society

• https://www.linkedin.com/pulse/artificial-intelligence-stockholm-joseph-michael

• https://medium.com/creandum-family/the-value-isnt-your-algorithm-it-s-your-data-dda4a1bf688b#.d5paaiemo

• https://hajak.se/why-deep-tech-startups-shouldnt-monetize-and-what-they-should-do-instead-ac710f59c815#.9dvp8uorx

• https://mattermark.com/blood-sweat-years-raising-money-deep-learning-startup/

• https://medium.com/project-juno/european-machine-intelligence-landscape-43a22b44e961#.nt4e8e5to

• https://hbr.org/2016/11/the-competitive-landscape-for-machine-intelligence

• https://medium.com/startup-grind/building-an-ai-startup-realities-tactics-6e1d18a4f7ab#.yonhz2y93

• President Obama in conversation with Joi Ito on artificial intelligence. https://www.wired.com/2016/10/president-obama-mit-joi-ito-interview/

Updates > recent articles

• Import AI by @jackclarksf > http://us13.campaign-archive1.com/home/?u=67bd06787e84d73db24%0aa5&id=6c9d98ff2c

• News in artificial intelligence and machine learning by @NathanBenaich > https://www.getrevue.co/profile/nathanbenaich

• Exponential View by @azeem http://www.exponentialview.co/ // https://www.getrevue.co/profile/azeem

• Data Machina by @ds_ldn http://tinyletter.com/datamachina

• Data Elixir http://dataelixir.com/

• AI Weekly by @dlissmyr http://aiweekly.co/

• CreativeAI.net http://www.creativeai.net/

• GitXiv http://www.gitxiv.com/

Newsletters on AI

• www.thetalkingmachines.com

• https://twimlai.com/

• http://ethicalmachines.com/

• https://soundcloud.com/exponentialview

• http://datastori.es/

Podcasts on AI

• http://partiallyderivative.com/

• http://lineardigressions.com/

• http://dataskeptic.com/

• http://www.learningmachines101.com/

• https://www.meetup.com/StockholmR/

• https://www.meetup.com/Stockholm-Natural-Language-Processing-Meetup/

• https://www.meetup.com/The-Stockholm-Big-Data-Group/

• https://www.meetup.com/Machine-Learning-Stockholm/

Meetups to watch

• http://www.arxiv-sanity.com/

• http://gitxiv.com/

• http://www.creativeai.net/

• https://thestateofai.com/

• OpenReview.net backup server http://104.155.136.4:3000/ (ICLR 17 trouble)

Other resources

• Tomorrow and weekly: AI Hack (https://www.facebook.com/events/734895319998720/)

• Nov 21-22 Internetdagerna (https://internetdagarna.se/)

• Nov 29-Jan 1 SICS Software Week 2016. (Sics Data Science day 30th https://www.sics.se/events/data-science-day-2016)

• Dec 5-6, AI Europe. London, UK. http://ai-europe.com/

• Dec 5-10 NIPS Barcelona SPAIN https://nips.cc/

• Jan 10-12 http://datasciencecongress.com/

• Jan 18 Stockholm.AI #2 at H2 Health Hub

• Jan 26-27, Deep Learning Summit. San Francisco, CA, USA. https://www.re-work.co/events/deep-learning-summit-san-francisco-2017

Upcoming Events

• Vinnova SME program opening Dec 6 (prel.)

• Vinnova AI in Healthcare http://vinnova.se/sv/Ansoka-och-rapportera/Utlysningar/Effekta/Digital-halsa/

• ylva.strander@vinnova.se (StartUp), carl.naumburg@vinnova.se (established SMEs)

Announcements

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See you next time!

18 January 2017 at#2

#SthlmAI