Startup Chile on campus

March 31, 2011  |  No Comments  |  by deeksha  |  Events
Hernan Cheyre, Executive Vice President of CORFO, the Chilean government agency in charge of promoting investment and entrepreneurship in Chile will be available to speak to interested students about Start-Up Chile, the latest effort of the government to attract foreign talent through incubating entrepreneurship projects. Details about the project will be provided during the meeting.

Monday, April 4th

3pm-4pm

Location: Aldrich 112

To confirm attendance, please email Nicolas Ibanez at [email protected].

Food and refreshments will be provided.

 

TechCrunch Disrupt NYC

March 28, 2011  |  No Comments  |  by douglas  |  Events

Harvard Students interested in TechCrunch Disrupt in NYC May 23-25th should contact Douglas Melchior (Twitter: @melchiorda).  Tickets are $200.  You need to do the following:

1) Email Gene McPherson ([email protected]) with a scanned copy of your transcript and valid student ID

2) Gene will respond with a PayPal link and password.  You’ll need to pay the $200

3) Coordinate with Douglas about the group meet up.

HackNight [HackHarvard]

March 28, 2011  |  No Comments  |  by douglas  |  Events

HackHarvard HackNight – Bring your project, and be eager to start coding.

A number of students, including David Kosslyn, Eric Hysen, Tommy MacWilliam, Julia Mitelman, Peter Boyce, and more, have recently been discussing the idea of holding regular weekly HackNights at Harvard. We loved the energy and excitement that came out of the HackHarvard winter incubator, and we would love to keep that energy going throughout the school year. There are a lot of talented people at Harvard who are hacking on their own projects alone, or in small groups, and we would love to bring those people together and encourage more students to take on projects outside of classes.

Here’s a link to a draft of our HackNight proposal: https://docs.google.com/document/d/1bKjKXnjvvdVmttXWfKEX11Uhh8c-JlsOXyt7-ZqCV5I/edit?hl=en&authkey=CIzQgI0L

What do you guys think? In particular, we’d like to generate some discussion around:
a) Is there interest in the community? Would you guys be willing to come regularly to these meetups?
b) What kind of event programming would interest you most? We have a lot of great ideas for stuff we could do, but at the same time we also want to keep it an organic meetup of people who love to hack together.

Keep in mind that we’re looking to develop a sustainable, regular program, that people will continue to come back for.

We’ve already gotten sponsorships to provide lots of food and snacks, and we’re working with David Malan to make MD available for these events.

We would love to hear from everyone here on [hcs-d]! We’re doing this for the benefit of this community, and we want to do the best we can to serve everyone here.

 

When: March 30, 2011 at 9pm
Where: Maxwell Dworkin Lobby

Machine Learning on Big Data: Lessons Learned from Google Projects [HCS]

March 28, 2011  |  No Comments  |  by douglas  |  Events

Machine Learning on Big Data: Lessons Learned from Google Projects

Harvard CS264 2011 Guest Lecture Series
“Massively Parallel Computing” Course (http://www.cs264.org)

Speaker: Max Lin (Google Research)
Host: Nicolas Pinto (Harvard, MIT)

Date: 3-29-2011
Time: 7:35 PM
Location: Harvard Maxwell Dworkin G125 (http://j.mp/eCgV66)

Abstract:

Machine learning researchers and practitioners develop computer algorithms that “improve performance automatically through experience”.  At Gogole, machine learning is applied to solve many problems, such as prioritizing emails in Gmail, recommending tags for YouTube videos, and identifying different aspects from online user reviews.  Machine learning on big data, however, is challenging.  Some “simple” machine learning algorithms with quadratic time complexity,
while running fine with hundreds of records, are almost impractical to use on billions of records.

In this talk, I will describe lessons drawn from various Google projects on developing large scale machine learning systems.  These systems build on top of Google’s computing infrastructure such as GFS and MapReduce, and attack the scalability problem through massively
parallel algorithms.  I will present the design decisions made in these systems, strategies of scaling and speeding up machine learning systems on web scale data.

Speaker biography:

Max Lin is a software engineer with Google Research in New York City office.  He is the tech lead of the Google Prediction API, a machine learning web service in the cloud.  Prior to Google, he published research work on video content analysis, sentiment analysis, machine
learning, and cross-lingual information retrieval.  He had a PhD in Computer Science from Carnegie Mellon University.

Dan Rosenberg on Common Vulnerabilities and Exposures [HCS]

March 28, 2011  |  No Comments  |  by douglas  |  Events

The Harvard Computer Society presents Dan Rosenberg, to talk about Common Vulnerabilities and Exposures (CVEs), vulnerability research, and computer security in general.
When: March 28, 2011 at 8 PM
Where: SOCH Penthouse, Hilles Student Center, The Quad, Harvard College
Who: You. And Dan Rosenberg.

Dan is a security consultant at Virtual Security Research and an accomplished software vulnerability researcher, having published dozens of vulnerabilities in both open source and commercial applications. His current research interests include kernel security (especially Linux) and exploit development on hardened kernel environments and mobile devices. At VSR, he performs code reviews,
penetration testing, and identifies vulnerabilities in third-party applications. He recently[1] got his 100th CVE, and is regularly featured on USNs. A full list of his CVEs is available here[2].

As always, there will be pizza. So come by, and chat with him about his work, or ask questions about where to get started yourself!

Facebook Strategy Session with Pete Snyder

March 28, 2011  |  No Comments  |  by douglas  |  Events
Join Pete Snyder, founder/CEO of New Media Strategies, for an exciting strategy discussion about the cutting edge of digital marketing.  NMS is an industry leader in digital marketing.  They are watching the rapid innovation and change coming out of Silicon Valley and trying to develop their own corporate strategy for staying on the cutting edge of social/mobile/local.  Pete will share a bit about their company and the situation, then turn it over to brainstorm session. Also: NMS is hiring some top notch folks (potentially YOU!) to figure out and execute this strategy!  This is a great way to get in front of Pete.
When: March 31st, 2011, 2-3pm
Where: Morgan Hall Basement, Room T47
Sign up is limited to the first 10 who sign up. Here’s the poll: http://poll.hbs.edu/poll/taker/pollTaker.jsp?poll=130482
Please contact Evan Baehr [email protected] for more information.
Bio:
Pete Snyder is the President of the Emerging Markets Group of Meredith, a $1.7 billion media company.  In that capacity he oversees New Media Strategies, the leading social media marketing agency that he founded in 1999, and Hyperfactory, the leading mobile marketing company.  They have run million dollar social and mobile campaigns for Disney, Coca-Cola, Kraft, Dominos Pizza, Chrysler, and Sony, among others, as well as over 95 major motion pictures that hit #1 in the box office, grossing more than $3.4 trillion in revenue.  Wired Magazine touted NMS and Pete as players who changed the jargon of Web 2.0 and Washingtonian Magazine recently named Pete a Tech Titan, an award he was honored to share with such technology notables as Vint Cerf, Steve Case and Tim O’Shaughnessy, of Living Social.

Another cool event

March 26, 2011  |  No Comments  |  by admin  |  Events

this is another one

News

March 25, 2011  |  No Comments  |  by admin  |  News

Coming soon.

This is another cool event

March 25, 2011  |  No Comments  |  by admin  |  Events

Really cool!

[HCS] 3/29/2011 – Machine Learning on Big Data

March 9, 2011  |  No Comments  |  by admin  |  Events

Machine Learning on Big Data: Lessons Learned from Google Projects

Harvard CS264 2011 Guest Lecture Series
“Massively Parallel Computing” Course (http://www.cs264.org)

Speaker: Max Lin (Google Research)
Host: Nicolas Pinto (Harvard, MIT)

Date: 3-29-2011
Time: 7:35 PM
Location: Harvard Maxwell Dworkin G125 (http://j.mp/eCgV66)

Abstract:

Machine learning researchers and practitioners develop computer
algorithms that “improve performance automatically through
experience”.  At Gogole, machine learning is applied to solve many
problems, such as prioritizing emails in Gmail, recommending tags for
YouTube videos, and identifying different aspects from online user
reviews.  Machine learning on big data, however, is challenging.  Some
“simple” machine learning algorithms with quadratic time complexity,
while running fine with hundreds of records, are almost impractical to
use on billions of records.

In this talk, I will describe lessons drawn from various Google
projects on developing large scale machine learning systems.  These
systems build on top of Google’s computing infrastructure such as GFS
and MapReduce, and attack the scalability problem through massively
parallel algorithms.  I will present the design decisions made in
these systems, strategies of scaling and speeding up machine learning
systems on web scale data.

Speaker biography:

Max Lin is a software engineer with Google Research in New York City
office.  He is the tech lead of the Google Prediction API, a machine
learning web service in the cloud.  Prior to Google, he published
research work on video content analysis, sentiment analysis, machine
learning, and cross-lingual information retrieval.  He had a PhD in
Computer Science from Carnegie Mellon University.

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