List of hackathons in Kungsangen, Sweden in 2018

Join us at our fringe event at ICML in Stockholm where a panel of experts will debate the theme of algorithmic fairness. The panel will include experts from the corporate and academic world to discuss this increasingly important topic. All of the findings from the event will contribute to a paper to be released in Autumn. The panel will be chaired by QuantumBlack's Global Head of Data Science, Didier Vila.  Confirmed panelists: Dr. Ines Marusic, QuantumBlack  Dr Ines Marusic is a data scientist at advanced analytics firm, QuantumBlack, a McKinsey Company. During her tenure at QuantumBlack, she has worked on projects in a range of different industries including finance, insurance, and pharma. Her research interests include explainability and fairness in machine learning. Ines holds a PhD in Computer Science from Oxford University. Whilst studying, she co-founded the Oxford Women in Computer Science Society and served as the society’s first president. She also co-founded and was a co-organiser of the annual Oxbridge Women in Computer Science Conference. In addition, during her time at Oxford University, Ines served on the Computer Science department’s Equality and Diversity Committee. Ines is passionate about getting more women into STEM careers and more specifically into data science. Samuel Corbett-Davies, Stanford University Sam Corbett-Davies is a Fulbright Scholar and fifth year PhD candidate in computer science at Stanford University. He studies methods for identifying bias in human and machine decisions, particularly decisions made throughout the US criminal justice system. Sam is presenting an ICML tutorial on Defining and Designing Fair Algorithms alongside Sharad Goel.  Polina Mamoshina, Insilico Medicine & Oxford University   Polina Mamoshina is a senior research scientist at Insilico Medicine, Inc, a Baltimore-based bioinformatics and deep learning company focused on reinventing drug discovery and biomarker development and a part of the computational biology team of Oxford University Computer Science Department. Polina graduated from the Department of Genetics of the Moscow State University. She was one of the winners of GeneHack a Russian nationwide 48-hour hackathon on bioinformatics at the Moscow Institute of Physics and Technology attended by hundreds of young bioinformaticians. Polina is involved in multiple deep learning projects at the Pharmaceutical Artificial Intelligence division of Insilico Medicine working on the drug discovery engine and developing biochemistry, transcriptome, and cell-free nucleic acid-based biomarkers of aging and disease. She recently co-authored fourteen academic papers in peer-reviewed journals.  Schedule:  6.30pm – Reception & Canapes 7.00pm – Panel 8.00pm – Drinks & Light Snacks  #DiversityofPerspective

Kaffe, mikropizza och kulturarvsforskning – kan det bli bättre? På detta hackaton* får du prova på att tillämpa digitala metoder på ett kulturarvsmaterial från våra samlingar och samtidigt bidra till en ännu bättre forskningsresurs. Coffee, pizza, and cultural heritage – what's not to like? On this hackathon* you'll have the opportunity to try out digital methods on material from the library's special collections and at the same time help to improve the material's potential for research.

Effective Altruism is a rational solution for saving human lives and reducing the suffering in the world. In this three part talk Markus Anderljung and Robert Shepherd will give us an introduction to Effective Altruism, discuss AI and ethichs and let us work on experiments for AI safety. Schedule. 14:00 Introduction to Effective Altruism - Markus Anderljunh 15:00 Ethics in AI - Karim Jebari 16:30 Technical safety - Erich Engelhardt AI week is a collaboration to celebrate the promise of AI. For one week, academy and industry, experts and enthusiasts, coders and dreamers come together to shape the future of AI. We host talks, workshops and Stockholms best AI hackathon. Here is a list to all the events during AI week.

Join us for an unforgettable 48 hours. 17:00 HACKATHON AI FOR GOOD FRIDAY TO SUNDAY 48 HOURS Hosted by Birger Moëll, Arthur Pesah and Carl Samuelsson AI week founder, Master student in Physics at KTH, Machine learning engineering intern at Ayond Location: The Castle, Slottsbacken  Be sure to get a ticket to the main event here: https://www.eventbrite.co.uk/e/ai-week-2018-tickets-45651527949 TRACK 1 HACKATHON AI FOR GOOD AI + SATELLITE IMAGERY​   TRACK 2 HACKATHON AI FOR GOOD AI + HEALTH   TRACK 3 HACKATHON AI FOR GOOD TRUST IN AI

The AI week continues with an evening where we explore images and learning at Univrses.  Arthur Pensath and Sebastian Bujwid will explore domain adaptation and image translation. Linus Härenstam-Nielsen will talk about convolutional neural networks for eye tracking. AI week is a collaboration to celebrate the promise of AI. For one week, academy and industry, experts and enthusiasts, coders and dreamers come together to shape the future of AI. We host talks, workshops and Stockholms best AI hackathon. Here is a list to all the events during AI week.

The AI continues with a night of talks exploring the edge of our knowledge. Amir Hossein Rahnama will explore the edge of reinforcement learning and deep leaning in his talk on how to use reinforcement learning for optimising your neural networks.  Sebastian El Gaidi and Viktor Qvarfordt will explore probabilistic deep learning for regression. How to use the idea of uncertainty to build neural networks inspired by neuroscience that can improve their performance and explainability on regression tasks. AI week is a collaboration to celebrate the promise of AI. For one week, academy and industry, experts and enthusiasts, coders and dreamers come together to shape the future of AI. We host talks, workshops and Stockholms best AI hackathon. These talks are a part of AI-week. To get access to all workshops and talks during AI-week.  Sign up here. Here is a list of the talks during AI-week MONDAY BUILDING MACHINE LEARNING MODELS 17:00–18:30 Mikael Huss and Carl Thomé Data scientist at Peltarion, AI Research Engineer at Peltarion Location: Peltarion, Holländargatan 17, 111 60 Stockholm Sign up here AI FOR SIMULATING HUMAN GAME PLAY 19:00–20:30 Philip Eisen AI-engineer at King Location: King, Sveavägen 44, 111 34 Stockholm Sign up here TUESDAY NEURAL ARCHITECTURE SEARCH: USING REINFORCEMENT LEARNING TO BUILD NEURAL NETWORKS 18:00–18:45 Amir Hossein Rahnama Data Scientist at Iteam Location: A House, Östermalmsgatan 26A, 114 26 Stockholm Sign up here PROBABILISTIC AI FOR REGRESSION 19:00–20:00 Sebastian El Gaidi and Viktor Qvarfordt AI-engineer at Greenlytics, AI-engineer in Finance VPD Location: A House, Östermalmsgatan 26A, 114 26 Stockholm Sign up here WEDNESDAY REINFORCEMENT LEARNING SELF PLAY 18:00–19:00 Anton Osika and Viktor Qvarfordt Machine Learning Engineer at Sana Labs, AI-engineer in Finance VPD Sana Labs, Nybrogatan 8 114 34 Stockholm Sweden Sign up here MACHINE LEARNING IN THE BROWSER 19:00–20:00 Birger Moëll and Charlie Rudenstål Childhood friends and developers The Castle, Slottsbacken 8 Sign up here THURSDAY DOMAIN ADAPTATION AND IMAGE TRANSLATION 17:00–18:30 Arthur Pensath and Sebastian Bujwid Physics Master student KTH, Deep learning engineer at Univrses. Univrses Västgötagränd 2, Elevator B, floor 10 Stockholm Sign up here CNNS FOR EYE TRACKING 19:00–20:00 Linus Häremsteam Nielsen Machine Learning Master student. at KTH Univrses Västgötagränd 2, Elevator B, floor 10 Stockholm Sign up here MULTI-TASK LEARNING 20:00–21:00 Miquel Marti Machine Learning Engineer, Univrses Sign up here FRIDAY  HACKATHON AI FOR GOOD 17:00 FRIDAY TO SUNDAY 48 HOURS Hosted by Birger Moëll, Arthur Pesah and Carl Samuelsson AI week founder, Master student in Physics at KTH, Machine learning engineering intern at Ayond Location: The Castle, Slottsbacken 8 Sign up here SATURDAY AI FOR GOOD WORKSHOPS WHAT IS EFFECTIVE ALTRUISM AND HOW TO DO THE MOST GOOD 14:00–15:00 Markus Anderljung General Director of Effective Altruism Sweden Sign up here ETHICS IN AI 15:30–16:30 Karim Jebari Philosophy Post-Doc at Institute for Future Studies Sign up here INTERACTIVE SESSION USING GOOGLE DEEPMIND'S AI-SAFETY-GRIDWORLDS 16:30–18:00 Erik Engelhardt, KTH student in Computer Science Location: The Castle, Slottsbacken 8 Sign up here

AI Week consists of technical talks and workshops by top engineers working in the field of machine learning. During one week, academy and industry, experts and enthusiasts, machine learning engineers and coders come together to shape the future of AI. The schedule is packed with talks, workshops and live hacks every evening. This ticket gives you access to all the events, however you need to sign up for each event so we can plan food and seating. Do so from the links below! MONDAY BUILDING MACHINE LEARNING MODELS 17:00–18:30 Mikael Huss and Carl Thomé Data scientist at Peltarion, AI Research Engineer at Peltarion Location: Peltarion, Holländargatan 17, 111 60 Stockholm Sign up here AI FOR SIMULATING HUMAN GAME PLAY 19:00–21:00 Philip Eisen AI-engineer at King Location: King, Sveavägen 44, 111 34 Stockholm Sign up here TUESDAY NEURAL ARCHITECTURE SEARCH: USING REINFORCEMENT LEARNING TO BUILD NEURAL NETWORKS 18:00–19:00 Amir Hossein Rahnama Data Scientist at Iteam PROBABILISTIC AI FOR REGRESSION 19:00–20:00 Sebastian El Gaidi and Viktor Qvarfordt AI-engineer at Greenlytics, AI-engineer in Finance VPD Location: Embassy, Folkungagatan 44 Sign up here WEDNESDAY REINFORCEMENT LEARNING SELF PLAY 18:00–19:00 Anton Osika and Viktor Qvarfordt Machine Learning Engineer at Sana Labs, AI-engineer in Finance VPD MACHINE LEARNING IN THE BROWSER 19:00–20:00 Birger Moëll and Charlie Rudenstål Childhood friends and developers Location: The Castle, Slottsbacken 8 Sign up here THURSDAY DOMAIN ADAPTATION AND IMAGE TRANSLATION 17:00–18:30 Arthur Pensath and Sebastian Bujwid Physics Master student KTH, Deep learning engineer at Univrses. CNNS FOR EYE TRACKING 19:00–20:00 Linus Häremsteam Nielsen Machine Learning Master student. at KTH MULTI-TASK LEARNING 20:00–21:00 Miquel Marti Machine Learning Engineer, Univrses Location: Univrses Västgötagränd 2, Elevator B, floor 10 Stockholm Sign up here FRIDAY  HACKATHON AI FOR GOOD 17:00 - SUNDAY 17:00 Hosted by Birger Moëll, Arthur Pesah and Carl Samuelsson AI week founder, Master student in Physics at KTH, Machine learning engineering intern at Ayond Location: The Castle, Slottsbacken 8 Sign up here SATURDAY AI FOR GOOD WORKSHOPS WHAT IS EFFECTIVE ALTRUISM AND HOW TO DO THE MOST GOOD 14:00–15:00 Markus Anderljung General Director of Effective Altruism Sweden ETHICS IN AI 15:30–16:30 Karim Jebari Philosophy Post-Doc at Institute for Future Studies INTERACTIVE SESSION USING GOOGLE DEEPMIND'S AI-SAFETY-GRIDWORLDS 16:30–18:00 Erik Engelhardt, KTH student in Computer Science Location: The Castle, Slottsbacken 8 Sign up here

We start out AI week with learning how to build machine learning models from the experts in the field. In this workshop Mikael Huss and Carl Thomé from Peltarion will show you how to build models that can help you converge for any problem. AI week is a collaboration to celebrate the promise of AI. For one week, academy and industry, experts and enthusiasts, coders and dreamers come together to shape the future of AI. We host talks, workshops and Stockholms best AI hackathon. Here is a list to all the events during AI week.

Theme:  Starting a company in AI & Health Check-in: 5:30 - 6:00 pm This edition of the Stockholm AI Summit will be devoted to startups in AI and health. We will have have speakers with fresh and relevant experience in this area, and of course - as usual - time for mingling and networking! Speakers: Hannes Bretschneider (CA), cofounder Deep Genomics Hannes was one of the cofounders of pioneering Canadian deep learning/genomics company Deep Genomics. He is now focusing on finishing his PhD at the University of Toronto, where he does research on machine learning in biology. Max Gordon, DeepMed Max is an orthopedic surgeon, post-doctoral researcher and CEO of the recently founded company DeepMed, which applies deep learning to medical diagnostics. He will talk about starting up the company and discuss less well understood regulatory and other aspects of medical AI companies. Erik Fredlund, DoubleStrand Erik has worked in cancer research and bioinformatics as an assistant professor and group leader at Karolinska Institutet, but recently started the data science and bioinformatics consultancy DoubleStrand, which works on many different projects including one on deep learning in immunology. Moderator: Moderator: Kajsa Norin, Fyndiq About Stockholm AI: Stockholm AI is a non profit organisation serving as an open forum to bring industry professionals and researchers in the Stockholm area together to discuss recent and and future developments. We arrange meetups, hackathons, study groups and other events that cover a wide range of topics from the field of AI, with the aim of making Stockholm a natural centre in the world of machine learning.For more information, visit our website stockholm.ai 50 SEK of your ticket goes to the Stockholm.AI non-profit organization (Org number: 802506-7110) making you a member. By being a member you get discounts for future meetups. Of course you can opt out.

Theme:  Applied AI & keeping up with global competition in the area of AI Check-in: 5 - 5:20 pmClosing Bell for the Nasdaq Exchange and first speaker starts: 5:30 pm Speakers: Danica Kragic Jensfeldt,  Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. Title of Talk: Challenges for Sweden in the area of AI Bio: MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia in 1995 and PhD in Computer Science from KTH in 2001. Visiting researcher at Columbia University, Johns Hopkins University and INRIA Rennes. Director of the Centre for Autonomous Systems. Member of the Royal Swedish Academy of Sciences, Royal Swedish Academy of Engineering Sciences and Young Academy of Sweden. She chaired IEEE RAS Technical Committee on Computer and Robot Vision and served as an IEEE RAS AdCom member. Her research is in the area of robotics, computer vision and machine learning. Lars Maaløe, Co-founder and CTO at Corti Title of Talk: “End-to-end medical augmentation from audio” Bio: Co-founder and Chief Technology Officer at Corti with a background within machine learning research. Lars has mainly focussed his research within unsupervised and semi-supervised learning on images, text and audio. Mike O’Rourke, Global Head of Machine Intelligence & Data Services at Nasdaq. Title of talk: "The impact of Machine Intelligence on capital markets" Bio: Mike O’Rourke has spent 18 years of his two-decade long career in technology at Nasdaq. Now, as Global Head of Machine Intelligence and Data Services, he leads Nasdaq’s machine intelligence development—Nasdaq’s Innovation Lab—that combines proprietary data with advanced analytics and machine learning to improve firms’ trading behaviors and performance. His mission is to create new products, across the company, built through experimentation and iteration. Wrap-up Panel Discussion: The area of AI in Sweden and the Nordics. How can we keep up with competition and compete globally? (challenges/possibilities/what should be done). Moderator:  Moderator: Anders Huss, CTO Sana Labs About Stockholm AI: Stockholm AI is a non profit organisation serving as an open forum to bring industry professionals and researchers in the Stockholm area together to discuss recent and and future developments. We arrange meetups, hackathons, study groups and other events that cover a wide range of topics from the field of AI, with the aim of making Stockholm a natural centre in the world of machine learning.For more information, visit our website stockholm.ai 50 SEK of your ticket goes to the Stockholm.AI non-profit organization (Org number: 802506-7110) making you a member. By being a member you get discounts for future meetups. Of course you can opt out.