Having turned around the aircraft carrier the Silicon Valley icon had become, Meg Whitman is leaving the helm of a restructured Hewlett Packard. Her successor, technologist Antonio Neri will now guide what Whitman asserts is a more "nimble" company through the uncharted waters of unrelenting change and hyper-scale disruption. Whitman, 61, announced Wednesday (Nov. 21) she is resigning as CEO of Hewlett Packard Enterprise. She will remain on HPE's board of directors.
The annual supercomputing confab, SC17, was held last week in Denver, and there were many important announcements. Stories about science, silicon and systems all vied for attention and center stage at this ~12,000 person event. I’m certain I missed a few important bits and bytes, but here’s my observations from what will go down as one of the most impactful HPC events in recent memory. Please forgive the length of this entry; there was just too much good stuff I want to share.
There's a buzz in AI circles around “capsule networks,” a new variant on neural networks that backers say could simplify, cut the costs of, commoditize and, in the end, democratize how deep learning systems are taught to do what we want them to do. How can it do all this? Capsule networks hold out the hope of tacking one of the biggest problems in AI: radically reducing the amount of data (and compute) needed to train deep learning systems.
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".