Are we infecting machine learning algorithms with our human biases? A new study says yes. Apparently, an AI learning from existing English language texts will reflect the biases in those texts back at us. The researchers found that the AI was more likely to associate European-American names rather than African-American names with “pleasant” stimuli. It also tended to associate “woman” and “girl” with the arts rather than with mathematics. 2.
An international collection of universities and national labs is hard at work on a project aimed at accelerating electrons to speeds 10 times higher than can be achieved inside SLAC’s 3.2-kilometer-long linear accelerator. But get this: They plan to use lasers and a piece of nanostructured silicon or glass about the size of a grain of rice to whip the electrons up to those blazing speeds in as little as 30 meters. Our correspondent checks in on their progress. 2.
1. Nanogrids, Microgrids, and Big Data: The Future of the Power Grid For about a century, affordable electrification has been based on economies of scale, with large generating plants producing hundreds or thousands of megawatts of power, But we are now in the early stages of an expansion of distributed generation, which is already making new, smaller-scale generation sources cost competitive with giant legacy power plants.
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".