FarmBeats: An IoT platform for data-driven agriculture Vasisht et al., NSDI '17 Today we have another pragmatic, low cost, IoT system case study. And it's addressing a problem almost as important as cricket: how can we help to meet the burgeoning demand for food across the globe by increasing farm productivity? [Just in case British … Continue reading FarmBeats: An IoT platform for data-driven agriculture
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Bringing IoT to sports analytics
Bringing IoT to sports analytics Gowda et al., NSDI 17 Welcome back to the summer term of #themorningpaper! To kick things off, we'll be looking at a selection of papers from last month's NSDI'17 conference. We haven't looked at an IoT paper for a while, and this one happens to be about cricket - how … Continue reading Bringing IoT to sports analytics
End of term, and thank you to the ACM
We've reached the end of term again, and The Morning Paper will be taking a two week break to recharge my batteries and my paper backlog! We covered a lot of ground over the last few months, and I've selected a few highlighted papers/posts at the end of this piece to tide you over until … Continue reading End of term, and thank you to the ACM
The curious case of the PDF converter that likes Mozart
The curious case of the PDF converter that likes Mozart: dissecting and mitigating the privacy risk of personal cloud apps Harkous et al., PoPET '16 This is the paper that preceded "If you can't beat them, join them" we looked at yesterday, and well worth interrupting our coverage of CODASPY '17 for. Harkous et al., … Continue reading The curious case of the PDF converter that likes Mozart
If you can’t beat them, join them: a usability approach to interdependent privacy in cloud apps
If you can't beat them, join them: a usability approach to interdependent privacy in cloud apps Harkous & Aberer, CODASPY '17 I'm quite used to thinking carefully about permissions before installing a Chrome browser extensions (they all seem to want permission to see absolutely everything - no thank you!). A similar issue comes up with … Continue reading If you can’t beat them, join them: a usability approach to interdependent privacy in cloud apps
BBR: Congestion-based congestion control
BBR: Congestion-based congestion control Cardwell et al., ACM Queue Sep-Oct 2016 With thanks to Hossein Ghodse (@hossg) for recommending today's paper selection. This is the story of how members of Google's make-tcp-fast project developed and deployed a new congestion control algorithm for TCP called BBR (for Bandwidth Bottleneck and Round-trip propagation time), leading to 2-25x … Continue reading BBR: Congestion-based congestion control
Stochastic program optimization
Stochastic program optimization Schkufza et al., CACM 2016 Yesterday we saw that DeepCoder can find solutions to simple programming problems using a guided search. DeepCoder needs a custom DSL, and a maximum program length of 5 functions. In 'Stochastic program optimization' Schkufza et al. also use a search strategy to generate code that meets a … Continue reading Stochastic program optimization
DeepCoder: Learning to write programs
DeepCoder: Learning to write programs Balog et al., ICLR 2017 I'm mostly trying to wait until the ICLR conference itself before diving into the papers to be presented there, but this particular paper follows nicely on from yesterday, so I've decided to bring it forward. In 'Large scale evolution of image classifiers' we saw how … Continue reading DeepCoder: Learning to write programs
Ethically aligned design
The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems. Ethically Aligned Design: A Vision For Prioritizing Wellbeing With Artificial Intelligence And Autonomous Systems, Version 1. IEEE, 2016. http://standards.ieee.org/develop/indconn/ec/autonomous_systems.html. Something a little different for today... the IEEE recently put out a first version of their "Ethically Aligned Design" report for public … Continue reading Ethically aligned design
A miscellany of fun deep learning papers
To round out the week, I thought I'd take a selection of fun papers from the 'More papers from 2016' section of top 100 awesome deep learning papers list. Colorful image colorization, Zhang et al., 2016 Texture networks: feed-forward synthesis of textures and stylized images Generative visual manipulation on the natural image manifold, Zhu et … Continue reading A miscellany of fun deep learning papers
the morning paper 