jklontz

> For example, NN-512 can exceed 48 effective FMADDs per cycle (on the 27 peak FMADD machine) with Winograd-Cook-Toom-Lavin, if the tensor is deep enough (enough channels)

Roughly how many channels do you need for this approach to be worthwhile?

Would you share this no-knead recipe?

The AWS Rekognition study I believe you are referring to was fundamentally flawed in two ways.

First, the threshold used was the default suggested for one-to-one matching (lower false reject rate, higher false accept rate). It doesn't make sense to use this threshold for search applications, and when the study was reproduced with a more appropriate (higher) threshold there were 0 mis-identifications.

Second, law enforcement use of face recognition doesn't even involve the algorithm making a lights-out identification decision. Instead, the most similar faces are presented to the user in ranked order by similarity (like a search engine). It's a tool for generating investigative leads, often preferable to publishing the face image of a wanted perpetrator on local news.

I've seen this argument made a lot, but have never found it convincing. Is there any empirical evidence to back it up? A quick Google search suggests it is a myth.

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Learned something new, fixed thanks!

Also in Denver! Would be thrilled to hang out with any fellow HN folks. E-mail in profile :)

True, but unlike other commodities it's easy to take a long position on gold with ETFs like GLD which actually store the physical gold. For other commodities (like oil with ticker USO) it's not so simple to take a long position. The best you can do is trade options, with the added risk of a contango market.

Going to take this opportunity to plug my related project [Likely](www.liblikely.org), a DSL for lowering machine learning inference algorithms.

One of the projects we've built on top of it is a static compiler for Caffe model files. This allows you to execute Caffe models _without_ a runtime dependency on Caffe libraries. Thus you can target OSes and CPUs not supported by mainline Caffe. If you have commercial interest in this capability please reach out to me.

Agreed! Instead we use a Slack channel called #todayiwill and people just enter a few bullet points when they get in.

Very exciting! I wonder how the short-term nature of the pilot program might have some inherent biases compared to the long-term study? Presumably there would be less dramatic changes in behavior / lifestyle?