z0mb13 - Quarks & Bits

“Rationality”

Research aka Staring At The Ceiling... This semester my research is related to some ideas I have regarding why humans and animals alike are able to learn and generalize so much faster than the current start of the art AI. The question is how can we leverage what we learn

AppStorey

The Untold Story of NeXT...

Learning From The Past I really enjoy learning about the history of computing and scientific discoveries as the stories behind the work are often even more interesting than the innovations themselves. I think that it is important as technical professionals in industry and academia to understand how technology and the

Welcome!

Welcome to new home for the Quarks & Bits Blog! I will update this site with new and old posts soon enough :) A Bit About Me I am Computer Science, PhD candidate and Assistant Professor at Pace University in New York City. I also have over 11 years of experience

elasticsearch

THE CONFERENCE...FOR YOU KNOW SEARCH: ELASTICON 2015

It is very fitting that my first blog post in a long while is about Elasticsearch and some highlights of what I learned at ElasticOn 2015. I have been using Elasticsearch professionally to varying degrees for almost two years now (note, I’ve also used another Lucene backed product called

Information Security

HACKCATION 2014: DEFCON 22

DefCon == My Nerd Nirvana Las Vegas is one of my favorite cities in the US. Why? Because I like flashing lights, loud noises and free drinks. I can now add one more thing about Vegas that I love (well at least once a year), DefCon! I finally had the privilege

Minhash

SHINGLING + MINHASH: BASIC NEAR DUPLICATE DOCUMENT DETECTION

Introduction Picture it…New York City 2014, two documents walk into a bar. We are given the task to determine if the documents are duplicates of each other or if they are just near duplicates. How would we do this if we weren't allowed to actually read the documents? How

python

A CURIOUS TALE: TWITTER STREAMING API + GOOGLE APP ENGINE

Introducing OpenLSH A few months ago I attended a Boston Data Mining meetup where a cool, fellow techie J Singh did a presentation on an algorithm called Locality Sensitive Hashing. During his presentation J expressed an interest in developing an open source library that implements LSH and few weeks later