Entries from April 2016 ↓
April 30th, 2016 — pinboard
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April 29th, 2016 — pinboard
- We’d like to introduce you to Thington! — Welcome to Thington — Medium
- Raising the Bar on Leaving
- Why drinking red wine and eating chocolate may be good for your gut – The Washington Post
- Microscopic secrets of your immune system, unveiled | Cosmos Magazine
- President Obama Weighs His Economic Legacy – NYTimes.com
- Google Filed Patent For Injecting A Device Directly Into Your Eyeball To Improve Vision
- Gigs | Lisa Fischer
- New York Times boss sued over alleged ageist, racist and sexist hiring practices | Media | The Guardian
- University of Washington receives backlash over flyer promoting ideal cheerleading look
- Joe Brewer on Twitter: "Genes, epigenetics, and what you inherit from the culture of your ancestors… https://t.co/qrWOJrtVgi"
- Prince Remembered by Childhood Best Friend and Bandmate André Cymone | Billboard
- Half of Western European men descended from one Bronze Age ‘king’
- TensorFlow is Terrific – A Sober Take on Deep Learning Acceleration
- Genetic Secrets to Youthful Looks Revealed – Scientific American
- ProgrammableWeb on Twitter: "Microsoft’s #AI #APIs can now recognize smiles, facial hair, slang words https://t.co/mZhJ2TPZeJ https://t.co/b1dzDQFiqL"
- Twitter
RT @carlmalamud: The first multimedia email message from 1992. “Let me send you email, if you have the time!â€
- MIME & Me (nsb)
RT @carlmalamud: The first multimedia email message from 1992. “Let me send you email, if you have the time!â€
- London Review (LRB) on Twitter: "Jenny Diski’s 150 articles (and 65 blogs) for the LRB are all now freely available to read online: https://t.co/Ge2KQUjEQ5"
- Gene therapy reverses sight loss and is long-lasting – BBC News
- Python 201: An Intro to itertools | The Mouse Vs. The Python
- A poem about Silicon Valley, made up of Quora questions | Fusion
- Google Hires Rick Osterloh As SVP for New Unified Hardware Division | Re/code
- Rolling and Unrolling RNNs | The Shape of Data
- Container-VM Image – Compute Engine — Google Cloud Platform
- The Rachel Carson Award Honorees | Audubon
- Twitter
RT @leahmcelrath: "suspect" vs "boy"
"replica semi-automatic pistol" vs "toy gun"
Words matter. Pay attention. Notice.
#Baltimore
- Sam Ramji on Twitter: "If you’re feeling depressed by the news, you can turn to https://t.co/WlHNdfr4Ck to feel a lot better about how cool the future will be."
- Phys.org – News and Articles on Science and Technology
- Ziya Tong on Twitter: "Roomba long exposure shots… https://t.co/wiGG4VqUo4"
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April 28th, 2016 — pinboard
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April 27th, 2016 — pinboard
- A Helmsman meets a Daughter of Troy: The introduction of Kubernetes & Cassandra – Kubernetes Colorado (Boulder, CO) – Meetup
A Helmsman meets a Daughter of Troy: The introduction of Kubernetes & Cassandra
- Nowhere Near Ithaca: Robert Floyd’s Tiny and Beautiful Algorithm for Sampling without Replacement
Robert Floyd’s Tiny and Beautiful Algorithm for Sampling without Replacement
- GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server | the morning paper
GeePS: Scalable deep learning on distributed GPUs with a GPU-specialized parameter server – Cui et al. 2016
(EuroSys 2016)
- The Pool | Life – What mourning for a celebrity looks like in 2016
- Google, Volvo, Uber and Lyft form a self-driving car coalition
- Yellow Fever’s Comeback Was Utterly Avoidable, But We Blew It | WIRED
- Kubernetes Analyst – Google Sheets
- FBI admits flaws in hair analysis over decades – The Washington Post
- Google Cloud Platform Blog: Why Google App Engine rocks: A Google engineer’s take
- Kyle Roche on Twitter: ". @awscloud Core Tenets of IoT whitepaper: https://t.co/mJpZeuCE9G #aws #iot"
- core-tenets-of-iot.pdf
- Uncanny Valley | Issue 25 | n+1
- If you use Waze, hackers can stalk you | Fusion
- Inside Capacitor, BigQuery’s next-generation columnar storage format | Google Cloud Big Data Blog — Google Cloud Platform
- Princeton Undergrad Creates Google Deep Dream-Inspired Deepjazz A.I. Music Maker | Inverse
- Twitter
RT @asynchio: Excited to announce KubeCon has been donated to CNCF. CFP is also now open! Come join us in Seattle this November!
- [1508.06576] A Neural Algorithm of Artistic Style
In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image. Thus far the algorithmic basis of this process is unknown and there exists no artificial system with similar capabilities. However, in other key areas of visual perception such as object and face recognition near-human performance was recently demonstrated by a class of biologically inspired vision models called Deep Neural Networks. Here we introduce an artificial system based on a Deep Neural Network that creates artistic images of high perceptual quality. The system uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images. Moreover, in light of the striking similarities between performance-optimised artificial neural networks and biological vision, our work offers a path forward to an algorithmic understanding of how humans create and perceive artistic imagery.
- protocol buffers – Is there an example on how to generate protobuf files holding trained Tensorflow graphs – Stack Overflow
- How to use tf.train.write_graph() and tf.import_graph_def()? It seems that it does not work. · Issue #616 · tensorflow/tensorflow
- Fundamentals of Stream Processing with Apache Beam | Kafka Summit 2016
RT @vambenepe: Going to #KafkaSummit summit next week? Then don’t miss the session by @francesjperry and @takidau on @ApacheBeam:
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April 26th, 2016 — pinboard
- [1412.6550] FitNets: Hints for Thin Deep Nets
While depth tends to improve network performances, it also makes gradient-based training more difficult since deeper networks tend to be more non-linear. The recently proposed knowledge distillation approach is aimed at obtaining small and fast-to-execute models, and it has shown that a student network could imitate the soft output of a larger teacher network or ensemble of networks. In this paper, we extend this idea to allow the training of a student that is deeper and thinner than the teacher, using not only the outputs but also the intermediate representations learned by the teacher as hints to improve the training process and final performance of the student. Because the student intermediate hidden layer will generally be smaller than the teacher’s intermediate hidden layer, additional parameters are introduced to map the student hidden layer to the prediction of the teacher hidden layer. This allows one to train deeper students that can generalize better or run faster, a trade-off that is controlled by the chosen student capacity. For example, on CIFAR-10, a deep student network with almost 10.4 times less parameters outperforms a larger, state-of-the-art teacher network.
- Tech’s new diversity leaders explain how they plan to fix sexism and racism in the industry | TechCrunch
- Debugging data transformations using Cloud Dataflow and Stackdriver Debugger | Google Cloud Big Data Blog — Google Cloud Platform
- GigaSpaces and Mist.io Integrate Cloudify for One-click Kubernetes Cluster Deployment on OpenStack, AWS and Other Clouds | Business Wire
- AWS CloudFormation Updates Amazon EC2, Amazon ECS, AWS Lambda, and Amazon GameLift Resource Support
- Using the Cloud Vision API with Twilio Messaging on Kubernetes
Use the Google Cloud Vision API+@twilio to text an image and get a reply with what’s in it… then scale w/ Kubernetes
- Andrew Rader on Twitter: "Zoom in on the NGC 3324 star cluster and reflection nebula. https://t.co/sxfrwCp7GJ"
- serving/mnist_export.py at master · tensorflow/serving
# WARNING(break-tutorial-inline-code): The following code snippet is
# in-lined in tutorials, please update tutorial documents accordingly
# whenever code changes.
- TensorFlow Serving
- xkcd: Women on 20s
- What The New York Times Didn’t Tell You — Medium
- Apache Beam’s Ambitious Goal: Unify Big Data Development
- T_CO2_CAP12YearsLater.pdf
- Home – glot.io
- Camlistore at LinuxFest Northwest 2016 – YouTube
- UMassTTS: "Intro to Machine Learning" by Cassidy Williams, Clarifai – YouTube
- First happiness genes have been located: Genetic overlap between happiness, depression discovered — ScienceDaily
- NEXUS | U.S. Customs and Border Protection
The NEXUS program allows pre-screened travelers expedited processing when entering the United States and Canada. Program members use dedicated processing lanes at designated northern border ports of entry, NEXUS kiosks when entering Canada by air and Global Entry kiosks when entering the United States via Canadian Preclearance airports. NEXUS members also receive expedited processing at marine reporting locations.
- Millennials Show Us What ‘Old’ Looks Like – YouTube
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April 25th, 2016 — pinboard
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April 24th, 2016 — pinboard
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April 23rd, 2016 — pinboard
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April 22nd, 2016 — pinboard
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April 21st, 2016 — pinboard
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