Google workloads for consumer devices: mitigating data movement bottlenecks

Google workloads for consumer devices: mitigating data movement bottlenecks Boroumand et al., ASPLOS'18 What if your mobile device could be twice as fast on common tasks, greatly improving the user experience, while at the same time significantly extending your battery life? This is the feat that the authors of today’s paper pull-off, using a technique … Continue reading Google workloads for consumer devices: mitigating data movement bottlenecks

Securing wireless neurostimulators

Securing wireless neurostimulators Marin et al., CODASPY'18 There’s a lot of thought-provoking material in this paper. The subject is the security of a class of Implantable Medical Devices (IMD) called neurostimulators. These are devices implanted under the skin near the clavicle, and connected directly to the patient’s brain through several leads. They can help to … Continue reading Securing wireless neurostimulators

PrivacyGuide: towards an implementation of the EU GDPR on Internet privacy policy evaluation

PrivacyGuide: Towards an implementation of the EU GDPR on Internet privacy policy evaluation Tesfay et al., IWSPA'18 (Note: the above link takes you to the ACM Digital Library, where the paper should be accessible when accessed from the blog site. If you’re reading this via the email subscription and don’t have ACM DL access, please … Continue reading PrivacyGuide: towards an implementation of the EU GDPR on Internet privacy policy evaluation

End of Term

We've reached end of term again, and The Morning Paper will be taking a two-week break, beginning again on Monday 16th April. I hope you enjoyed the selections from the last three months. So much great research, it's hard to highlight just a few! But in case you missed them, here's a small selection covering … Continue reading End of Term

The surprising creativity of digital evolution

The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities Lehman et al., arXiv 2018 Today’s paper choice could make you the life and soul of the party with a rich supply of anecdotes from the field of evolutionary computation. I hope you get to go … Continue reading The surprising creativity of digital evolution

Deep learning scaling is predictable, empirically

Deep learning scaling is predictable, empirically Hestness et al., arXiv, Dec.2017 With thanks to Nathan Benaich for highlighting this paper in his excellent summary of the AI world in 1Q18 This is a really wonderful study with far-reaching implications that could even impact company strategies in some cases. It starts with a simple question: "how … Continue reading Deep learning scaling is predictable, empirically

Information flow reveals prediction limits in online social activity

Information flow reveals prediction limits in online social activity Bagrow et al., arVix 2017 If I know your friends, then I know a lot about you! Suppose you don’t personally use a given app/service, and so the provider doesn’t have data on you directly. However, many of your friends do use the app/service, and there’s … Continue reading Information flow reveals prediction limits in online social activity