Partnership Adds Direct 360-Degree Image Integration for Walmart.Read Full Story
CES means there’s no shortage of “smart” connected gadgets, and toothbrushes are no exception. Oral-B and Colgate are launching new smart toothbrushes this year: the Oral-B iO and the Colgate Plaqless Pro Toothbrush.
Illustration by Alex Castro / The Verge
Facebook’s public image is in such a disastrous state that the company’s public relations team built an artificial intelligence-powered chatbot to help its employees deflect criticism from family members over the holidays, reports The New York Times.
Image: TheGoncas2 / YouTube
China has released a new government policy designed to prevent the spread of fake news and misleading videos created using artificial intelligence, otherwise known as deepfakes.
Image: Cards Against Humanity
The creators of Cards Against Humanity are back for their annual Black Friday stunt, and this one is delightfully dystopian.
Image: The Verge
As 2019 dawned and Mark Zuckerberg announced this year’s personal challenge, I suggested it might be time to retire the concept altogether. Zuckerberg’s “challenge,” as he described in a Facebook post, would be to “host a series of public discussions about the future of technology in society.
Between November 14 and 19th, Google said it lost image click data in the Search Console performance reports.
Please visit Search Engine Land for the full article.
Ubiquiti has announced its first Wi-Fi 6 router, the AmpliFi Alien. The tri-band router supports the latest Wi-Fi 802.11ax standard and includes four gigabit LAN ports on its rear, along with a single WAN port to receive an internet connection. You can also pair multiple units together to create a mesh network. The router costs $379 and is available now from AmpliFi.com.
** Nuit Blanche is now on Twitter: @NuitBlog ** Improving Neural Architecture Search Image Classifiers via Ensemble Learning by Vladimir Macko, Charles Weill, Hanna Mazzawi and Javier GonzalvoAdaNAS is an algorithm for learning an ensemble that improves the performance of neural architecture search models while having a similar parameter count as single large model.Read Full Story
(Image: ‘Tower of Babel’ by Pieter The Elder Bruegel, 1563)
Underinvestment in and misunderstanding of ETL is a silent killer in organizations. It’s why reports are often delayed, why answers across systems rarely agree, and why more than 50% of corporate business intelligence initiatives fail.
ETL is hard because data is messy.
(Image credit: A.Koblin for RadioHead)
This is a phrase that has stuck with me since Tim O’Reilly uttered some form of it two years ago. Tim was talking about online cartography, saying it’s not the maps that matter: it’s getting to our destination. Maps are a half-step short of that goal.
I’ve just released a useful new Docker image for graph analytics on a Neo4j graph database with Apache Spark GraphX. This image deploys a container with Apache Spark and uses GraphX to perform ETL graph analysis on subgraphs exported from Neo4j. This docker image is a great addition to Neo4j if you’re looking to do easy PageRank or community detection on your graph data.Read Full Story
Yes, this image is allegedly real (click here).If you plan something important for an entire year, of course you are going to make lemonade out of lemons … what choice do you have?If your merchandising team made a mistake and “ruined the new item assortment for 2019”, well, it’s your job to make lemonade out of those lemons.Read Full Story
After getting a hint of this a few months ago, I’ve finally tracked down an image of a stamp that will be released this year to celebrate the invention of the World Wide Web using an image I created.
Here’s the source.
Think of me as you lick ’em.
Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Learn how to extract features from …
The post Learn How to Perform Feature…
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And no, not this kind of horizon… (image credit)
In a recent newsletter, Alice mused about how evolving views and theories of learning are shaping machine learning research and practice. If you’re an enterprise data scientist you’re very much focused on the practice of machine learning.
Thanks to this post of facial landmarks and the openface project!
11/11 updated the image pool to 710000
11/3 updated the image pool to 540000
10/14 add face similarity searching! from a 4000-photo pool
Deep Learning model find 128 features of each face –Then Cosine distance ~ simple but powerful.
In my previous post, I showed how you can use deep neural networks to generate image examples of the classes it’s been trained to classify. Since we’ve already started using deep neural networks in ways they were never intended to be used, let’s abuse them some more.
There’s nothing constraining us to generate image examples of one class at a time.
This below is just an image so this looks pretty. The animation I want to
publish is available here if you don’t mind going to
hosted on this server.
BiciMAD has published data about individual trips
made with their
this weekend I downloaded them and I have been trying to give them some shape.
Image credit: https://vbti.Read Full Story