51:41
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 タグ:googletechtalkstachtalkengedu 投稿日: September 21, 2007, 12:42 am 閲覧数: 9051 投票: 3.90(５点満点) 34 人の平均
inside vmware fusion
58:07
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... タグ:googletechtalkstechtalkengedutalktalks 投稿日: October 19, 2007, 6:07 pm 閲覧数: 23878 投票: 4.60(５点満点) 49 人の平均
marketing トークs at google presents matt bailey
51:19
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 タグ:googletechtalkstechtalkengedutalktalks 投稿日: August 29, 2008, 6:13 pm 閲覧数: 202 投票: 5.00(５点満点) 1 人の平均
jruby: power of java and ruby
71:16
Google Tech Talks
February, 28 2008
Speaker: Ola Bini
I work for ThoughtWorks Studios, and recently published the book Practical JRuby on Rails at APress. I'm very interested in Artificial Intelligence, Lisp, Ruby and the fuzzy lines between languages... タグ:googletechtalkstechtalkengedutalktalks 投稿日: March 1, 2008, 7:19 pm 閲覧数: 14025 投票: 4.80(５点満点) 31 人の平均
what do those images have in common?
59:53
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. タグ:googletechtalkstechtalkengedutalktalks 投稿日: March 27, 2008, 6:12 pm 閲覧数: 3326 投票: 4.00(５点満点) 9 人の平均
google test automation conference lightning トークs
46:28
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 タグ:googlehowtotestautomationconference 投稿日: July 24, 2007, 7:00 am 閲覧数: 14539 投票: 4.40(５点満点) 7 人の平均
ory and practice of cryptography
54:05
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. タグ:googletechtalkstechtalkengedutalktalks 投稿日: November 30, 2007, 7:07 pm 閲覧数: 11264 投票: 4.90(５点満点) 30 人の平均
implementing drupal
51:13
Google Tech Talks
October, 8 2007
ABSTRACT
Geoff Butterfield, Senior Technical Producer at The George Lucas Educational Foundation, and Angie Byron of Lullabot will talk aboout Drupal development and implementation.
Speaker: Geoff Butterfield
Speaker: Angie Byron タグ:googletechtalkstechtalkengedutalktalks 投稿日: October 26, 2007, 6:12 pm 閲覧数: 11963 投票: 4.80(５点満点) 32 人の平均
a possible future of software development
61:33
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 タグ:googletechtalkstechtalkengedutalktalks 投稿日: May 20, 2008, 6:18 pm 閲覧数: 11753 投票: 4.20(５点満点) 24 人の平均
ory and practice of cryptography
92:06
Google Tech Talks
December, 19 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. タグ:googletechtalkstechtalkengedutalktalks 投稿日: December 21, 2007, 7:12 pm 閲覧数: 9710 投票: 4.70(５点満点) 31 人の平均
