Sunday, March 3, 2019

Designing for Water Inclusive City

Designing for Water Inclusive City
Dr. Anne Loes Nillesen

Anne Loes Nillesen will show several successful examples of urban flood risk interventions on different scales, varying from amphibious houses to integrated sea barrier designs and resilient coastal cities.

Dr. Anne Loes Nillesen is founding director of urban design firm Defacto Architecture and Urbanism, Rotterdam, The Netherlands. Defacto specializes in urban research and design in the domain of water and flood risk management. With her office, Anne Loes worked on complex, large-scale urban design and flood risk management assignments such as the Dutch Delta Programme and Bangladesh Deltaplan, and several regional and local scale adaptation projects, amongst which a barrier design for Houston. She currently works on the ‘Water as Leverage for Resilient Cities Asia’ project for Khulna, Bangladesh.

In addition to running Defacto, Anne Loes founded the Climate Adaptation Lab and Delta Interventions integral Msc graduate studios at Delft University of Technology (TU Delft), Faculty of Architecture. Her PhD research focused on the relation between urban design and flood risk strategies. She graduated with honors as an Architect and Urban designer from TU Delft and undertook postgraduate studies in Landscape Architecture and Urbanism at the Berlage Institute in Rotterdam.

Anne Loes published books such as ‘Amphibious Housing in the Netherlands’, ‘Delta Interventions: Design and Engineering in Urban Water Landscapes’ and developed the ‘Climate Adaptation Game’, a multi-player board game.

26 January 2019
Talk | Bangkok Design Week 2019
TCDC Bangkok
http://www.bangkokdesignweek.com
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Saturday, January 26, 2019

Deep Learning State of the Art (2019) - MIT

New lecture on recent developments in deep learning that are defining the state of the art in our field (algorithms, applications, and tools). This is not a complete list, but hopefully includes a good sampling of new exciting ideas. For more lecture videos visit our website or follow code tutorials on our GitHub repo.












MIT 6.S091: Introduction to Deep Reinforcement Learning (Deep RL)

First lecture of MIT course 6.S091: Deep Reinforcement Learning, introducing the fascinating field of Deep RL. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo.



Saturday, January 12, 2019

2019 International Innovation Scorecard

What did Thailand do right?

Thailand has relatively low corporate and individual marginal tax rates and ranks well above similarly-sized countries in the ease of starting a business. Also, the nation boasts access to improved drinking water sources for the vast majority of its population.

What can Thailand do better?

Thailand could lay legal groundwork and support self-driving vehicle development, an area where the country currently lags behind almost every other nation on the Scorecard. The country can increase its proportion of highly-skilled workers and dramatically increase its R&D spending, which is currently just 0.60 percent of its GDP.





Modest Innovator Thailand 



Source: Consumer Technology Association

Wednesday, January 9, 2019

2020 LiveWire | Harley-Davidson

THE LOUDEST SOUND YOU HEAR WILL BE YOUR HEART RACING

Starting at $29,799

Coming August 2019

Booking: PR

Article: The Verge






Friday, January 4, 2019

AI in 2019





2018 has been an eventful year for AI to say the least! We've seen advances in generative models, the AlphaGo victory, several data breach scandals, and so much more. I'm going to briefly review AI in 2018 before giving 10 predictions on where the space is going in 2019. Prepare yourself, my predictions range from more Kubernetes infused ML pipelines to the first business use case of generative modeling of 3D worlds. Happy New Year and enjoy!

Code for this video:
https://github.com/llSourcell/kubernetes

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