From Gloom to Glam: The Revolution of Facebook Messenger ChatbotsGood things come to those who wait, but sometimes you have to ride out rainstorms to get your rainbows. In 2011, Facebook launched its Messenger platform and people gladly hopped in, forming an active community of around 600 million chatty humans by 2015. In April 2016, the social network opened Messenger to chatbots, conversational software programs driven by algorithmic scripts.
I remember when I was first inspired to build a dedicated deep learning box. I had just stumbled across Lukas Biewald’s post from the O’Reilly AI newsletter on how to “build a super fast deep learning machine for under $1000.” The thought of building a dedicated machine hadn’t even occurred to me. At the time, I didn’t know how to use Tensorflow and couldn’t properly explain to you the mathematics of backdrop. But, $1000 seemed like a reasonable and reachable budget for experimentation.
With more than 12,500 patents, 8 Nobel prizes, and a 140 year history of field-testing crazy ideas, no one should be surprised that AT&T would be an important player in artificial intelligence. “AT&T is a backbone of the internet,” explains Nadia Morris, Head of Innovation at the AT&T Connected Health Foundry. The company manages wireless, landline, and even private secure networks to power connectivity for both individuals and corporations.
@JimDabell@Apple ...to back up to PIN when FaceID doesn't meet a specific confidence threshold. Another is require shots from multiple angles to unlock. Yet another is to gather more training data, especially in populations where the differences may be more subtle.
@JimDabell@Apple You can always improve a design, so "it's going to fail sometimes" is not an excuse for not continuously iterating & maintaining high standards, esp. for higher stakes technology. FaceID is known to fail in situations such as similar family members. One possible solution is...
@_kim_mik@Apple Good question! My assumption is that if you *know* you have a twin you might not use Face ID at all. But the tech fails if complete strangers (accidental “twins”) can also unlock your phone.
Muck Rack makes it simple to find people, tweets, or articles that mention any name, keyword, company, hashtag etc. We've compiled this guide to help you make the most of your search.
Selecting a term
Start searching tweets, articles from media outlets, articles mentioned in tweets, journalists'
names, titles and bios with some suggested searches:
Companies or Topics (e.g. iPhone, Microsoft)
Phrases (e.g. "cloud computing") — use quotes to keep the terms together
Twitter handles (e.g. @username) — returns those who have mentioned or replied to
Names (e.g. "David Pogue")
Hashtags (e.g. #sxsw, #london2012)
Bio details (e.g. vegan, Olympics, father)
Muck Rack's Advanced Search allows for many boolean operators.
Find results that mention multiple specified terms, use AND or
+. For example, ensure each result contains both Elon Musk and Mark Zuckerberg by
searching Musk AND Zuckerberg or Musk + Zuckerberg.
Use the operators OR or , to broaden your search when you'd like either of
multiple terms to appear in results. (This is the default behavior of our search when no operators
are used). For example, results will contain either cake or cookie by searching cake OR cookie or cake,cookie
Use NOT or - to subtract results from your search. For
example, searching Disney will yield results about the Walt Disney Company as well as Walt Disney
World Resort. To exclude mentions of Disney World, search for Disney -World or Disney
When using one of these operators with a phrase, enclose it in quotation marks. For example, you can
find results about smartphones excluding Apple's iPhone 4S by searching smartphone -"iPhone
Exact case matching or punctuation
If you're searching for a brand name or keyword that relies on specific punctuation marks or capitalization, you can
find results that match your exact query by adding matchcase: before the keyword you're searching for, like matchcase:E*TRADE .
Use parentheses to separate multiple
boolean phrases. For example, to find journalists talking about having fun in Disney World or
Disneyland, search for ("disney world" OR disneyland) AND fun.
An asterisk can be used to search for any variation of a root word truncated by the asterisk. For example, searching for admin* will return results for administrator, administration, administer, administered, etc.
A near operator is an AND operator where you can control the distance between the words. You can vary the distance the near operation uses by adding a forward slash and number (between 0-99) such as strawberries NEAR/10 "whipped cream", which means the strawberries must exist within 10 words of "whipped cream".