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| Google Test Automation Conference Lightning Talks |
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Google London Test Automation Conference (LTAC)
Google engEDU
September 8th, 2006
Presenters:
Harry Robinson, Dan North, Steve Freeman, Nat
Pryce, Christine Newman, Andrin von Rechenberg,
Ade Oshineye, Timur Hairullin, James Richardson,
James Lyndsay, Jordan Dea-Mattson, Curtis "Ovid"
Poe
Tags : google howto test automation conference |
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Affichage : 6343
Durée : 2788 s |
| Testing Metro Wifi |
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Google London Test Automation Conference (LTAC)
Google engEDU
September 8th, 2006
Presenter: Karl Garcia Credits: Presenter:Karl
Garcia
Tags : google howto testing metro wifi |
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Affichage : 3883
Durée : 2321 s |
| New generation of math software from Maplesoft |
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Google Tech Talks
September, 11 2007
ABSTRACT
The name Maple is synonymous with doing complex
math on computers. Best known for its symbolic or
algebraic computation abilities, Maple is one of
the most important tools for the modern applied
mathematician and scientist. Many of you are
likely familiar with Maple from college but you've
probably not kept up to date with latest
developments. This presentation will present some
of the latest product developments from Maplesoft.
Topics include
- developments in high performance numerical
computation
- recent advances in symbolic computing
- new Maple libraries including graph theory,
statistics, optimization, polynomial operations,
and more
- parallel and grid computing
- knowledge capture for mathematical documents
- the Maple programming language and application
development
- overview of new add-on products including global
optimization, and modeling and simulation
The presenter will be Mohamed Bendame, a senior
engineer from Maplesoft. The presentations will
include an open Q session.
This talk will be taped by the engEDU Tech Talks
Team.
Speaker: Mohamed Bendame
Tags : google techtalks tachtalk engedu |
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Affichage : 9051
Durée : 3101 s |
| Inside VMware Fusion |
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Google Tech Talks
October, 17 2007
ABSTRACT
Join Ben Gertzfield of VMware for a look behind
the curtain at virtualization on the Mac, the
technology that frees operating systems from their
earthly hardware chains.
Similar in spirit to the ideals of the microkernel
and distributed computing, the abstracted and
idealized CPU, storage, network, and other devices
provided by virtualization remove the barriers
formed by the underlying realities of
heterogeneous physical hardware.
We'll discuss the technologies forming and
building upon virtualization, including the
hypervisor (or virtual machine monitor), replay
(deterministic recording and replaying of all
hardware and software events), and virtual
machine-based disaster recovery.
In addition, we'll share the lessons learned from
jumping head-first into the consumer software and
Mac worlds, and how "thinking different"
applies to porting a massive source code base to
its third platform (after Linux and Windows).
This talk will be taped by the engEDU Tech Talks
Team.
Speaker: Ben Gertzfield
Ben Gertzfield is the lead developer of VMware
Fusion for Mac, VMware's first virtualization
solution for Intel Macs, currently available for
free trial download.
Ben graduated from the University of California,
Santa Cruz with a degree in computer science, and
subsequently lived and worked in Japan be...
Tags : google techtalks techtalk engedu talk talks googletechtalks education |
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Affichage : 23878
Durée : 3487 s |
| Marketing Talks at Google presents Matt Bailey |
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Google Tech Talks
August 19, 2008
ABSTRACT
Analytics Into Action
Analytics according to Captain Kirk - The original
Star Trek series explains many of the principles
of analytics and the necessary tools for
understanding visitor motivations, segments and
website analysis. By looking deeper into the
trekkie phenomenon, analysts can better understand
how to make website data actionable and enjoyable.
Speaker: Matt Bailey
Tags : google techtalks techtalk engedu talk talks googletechtalks education |
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Affichage : 202
Durée : 3079 s |
| What Do Those Images Have In Common? |
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Google Tech Talks
March, 25 2008
ABSTRACT
This talk is about discovering and modeling
previously unspecified, recurring themes in a
given set of arbitrary images. Given a set of
images, each containing frequent occurrences of
objects from multiple categories, the goal is to
learn a compact model of the categories as well as
their relationships, for the purposes of later
recognizing/segmenting any occurrences in new
images. Categories are not defined by the user.
Also, whether and where instances of any
categories appear in a specific image is not
known. This problem is challenging, since it
involves the following unanswered questions. What
is an object category? What image properties
should be used and how to combine them to discover
category occurrences? What is an efficient
multicategory representation?
We will examine a methodology, developed during my
postdoctoral work at UIUC. Each image is
represented by a segmentation tree whose nodes
correspond to image regions, segmented at all
natural scales present, and edges between tree
nodes capture the region embedding. The presence
of any categories in the image set is then
reflected in the frequent occurrence of similar
subtrees within the segmentation trees. Our
methodology is designed to: (1) match image trees
to find similar subtrees; (2) discover categories
by clustering similar subtrees, and use the
properties of each cluster to learn the model of
the associated category; and (3) learn the grammar
of the discovered categories that compactly
captures their recursive definitions in terms of
other simpler (sub)categories and their
relationships (e.g., containment, co- occurrence,
and sharing of simple categories by more complex
ones). When a new image is encountered, its
segmentation tree is matched against the learned
grammar to simultaneously recognize and segment
all occurrences of the learned categories. This
matching also provides a semantic explanation of
object recognition in terms of the identified
parts along with their spatial relationships.
The aforementioned methodology can also be used
for identifying recurring image themes of more
general kind. An example is that of extracting the
stochastically repeating, elementary parts of
image texture (e.g., waterlilies on the water
surface, people in a crowd).
This talk will be taped by the engEDU Tech Talks
Team.
Speaker: Sinisa Todorovic
Sinisa Todorovic received the joint B.S./M.S.
degree with honors in electrical engineering from
the University of Belgrade, Serbia, in 1994. From
1994 until 2001, he worked in the communications
industry. He received the M.S. and Ph.D. degrees
in electrical and computer engineering at the
University of Florida, Gainesville, in 2002, and
2005, respectively. Since 2005, he holds the
position of Postdoctoral Research Associate in the
Beckman Institute at the University of Illinois
Urbana-Champaign, where he collaborates with Prof.
Narendra Ahuja. Sinisa's main research interests
concern computer vision and machine learning, with
current focus on unsupervised extraction and
representation of visual themes recurring in
images. He is the recipient of Jack Neubauer Best
Paper Award 2004 for a publication in IEEE Trans.
Vehicular Technology, and Outstanding Reviewer
Award at the Int. Conf. on Computer Vision (ICCV)
2007. He serves as Associate Editor of Advances in
Multimedia.
Tags : google techtalks techtalk engedu talk talks googletechtalks education |
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Affichage : 3326
Durée : 3593 s |
| A Possible Future of Software Development |
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Google Tech Talks
July, 25 2007
ABSTRACT
This talk begins with an overview of software
development at Adobe and a look at industry trends
towards systems built around object oriented
frameworks; why they "work", and why they
ultimately fail to deliver quality, scalable,
software. We'll look at a possible alternative to
this future, combining generic programming with
declarative programming to build high quality,
scalable systems.
Speaker: Sean Parent
Sean Parent is a principal scientist at Adobe
Systems and engineering manager of the Adobe
Software Technology Lab. One of his team's current
projects is the Adobe Source Libraries
Tags : google techtalks techtalk engedu talk talks googletechtalks education |
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Affichage : 11788
Durée : 3693 s |
| Theory and Practice of Cryptography |
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Google Tech Talks
November, 28 2007
Topics include: Introduction to Modern
Cryptography, Using Cryptography in Practice and
at Google, Proofs of Security and Security
Definitions and A Special Topic in Cryptography
This talk is one in a series hosted by Google
University: Wednesdays, 11/28/07 - 12/19/07 from
1-2pm
Speaker: Steve Weis
Steve Weis received his PhD from the Cryptography
and Information Security group at MIT, where he
was advised by Ron Rivest. He is a member of
Google's Applied Security (AppSec) team and is the
technical lead for Google's internal cryptographic
library, KeyMaster.
Tags : google techtalks techtalk engedu talk talks googletechtalks education |
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Affichage : 11264
Durée : 3245 s |
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