Three characteristics of the Internet of Things (IoT) differentiate it from industrial automation. It explains why we see so few IoT networks and why most of the industrial IoT forecasts are measurements of industrial automation that we have had for decades. The first one, with the exception of the issue of strong security, is easy. The second two, though, in New Jersey parlance — says easy does hard.
A machine learning project to build an autonomous sailplane that remains aloft on thermal currents is impressive enough. But the work conducted by Microsoft researchers Andrey Kolobov and Iain Guilliard will also improve the decision making and trustworthiness of IoT devices, personal assistants and autonomous cars. The constraints limiting the computational resource of weight and space imposed by the airframe of the sailplane adds relevance to the many new developments in ubiquitous computing.
If Akamai, Cisco and Google’s post-platform security and privacy machine learning security systems protecting the web and mobile platforms are indicative of the future, IoT device makers will only be part of a larger security ecosystem. That’s because they will not have the data to train the AI machine learning models. As a result, IoT post-platform security and privacy will become a layer on top of IoT device security. These five factors are why that will happen.
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 Obama AND Romney or Obama + Romney.
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, search for democrat OR republican to find results that refer to
Democrats and/or Republicans.
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".