Can a notoriously slow, paper-based industry rejigger itself for the digital age? When it comes to insurance, an industry rich in data but a laggard in digitization, a software-as-a-service startup founded by former MetLife Global CIO Gary Hoberman believes a solution is at hand. Unqork Inc., which bills itself as an insurance fulfillment platform, is using a host of artificial intelligence technologies to optimize, digitize and automate arcane and inefficient processes.
Can deep learning be done at the edge of the network, in real time, without a team of data scientists in attendance? That's the promise of Boston-based startup Neurala Inc. and its twist on deep learning, a technology it's dubbed lifelong deep neural networks or L-DNNs. L-DNNs are designed to "overcome the catastrophic forgetting" problem encountered with traditional deep neural nets, technology that uses a hierarchy of algorithms and layers of processing to produce an outcome.
Major cloud vendors such as Amazon, Microsoft and Google are in a race to incorporate deep learning, machine learning and other types of AI capabilities into their product offerings, giving developers the tools and the technology to build state-of-the-art applications, according to IDC in Framingham, Mass. Indeed, the consultancy released a set of 2018 predictions last fall that included a looming AI war among cloud providers.
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".