Kngine team is happy to announce ‘Kngine Summer of Code’.
Kngine Summer of Code is new kind of internship, where everyone who are lucky enough to join, work on one major specific project (plus minor tasks). Also the acceptance process is quite different and efficient. This year we will have three main tracks:
Information Retrieval + Lucene:
This track is all about IR, you will implement new Information Retrieval Models and Learn to Rank Algorithms, try new news and implement them inside Lucene and evaluate your work for Question Answering.
Prerequisite: You have to be very good in Math, Linear Algebra, Java and Lucene. Good at Machine Learning. You have to read: Introduction to Information Retrieval and know Lucene architecture and source code well. Watch this playlist is big plus
This track is all about adding sugar to Java. In this track we aim to build a Java compiler (Java to byte-code compiler) that will increase the productivity by adding features like: auto/var, Pass by reference, Optional parameter, single line function, spwn & sync keywords and others. Also we aim to improve the experience by add new classes’ libraries, such as: RE2 for faster regular expression, better collection, easy to use Data/Task Parallel library, etc.
Prerequisite: You have to be very good in Math, Java virtual machine, Java byte code and expert in Java. You have to watch Stanford Compiler course and read Basics of Compiler Design book. Also you should read about the following topics: How var works in C#, Type inferences, how Scala implemented long tail optimization, how lambda expression implemented in Java 8 and C#.
This track is all about how to parse natural language queries/questions such as: ‘Who are the employees that took more than 20 days vacation last year, non-stop flight from DC to LA that have wireless’ and convert them to logical form to generate a SQL database query.
Prerequisite: You have to be very good in Math, C#. You should take Stanford NLP course and read Speech and Language Processing, or Foundations of Statistical Natural Language Processing.
So, how it works:
The application period runs from April 18 to May 8 2013 but don’t delay. Then we will set an exam and an interview date expected to be in late May or early June (when you’re ready with the prerequisite). Yet you have to be ready by the exam/interview time, Take the courses, read the books and improve your skills in the prerequisite areas and be precise.
You can apply by sending an email to ‘Jobs@Kngine.com’ with title ‘Kngine Summer of Code’ and include the track you want to work on. This program for graduates and undergraduates.
What do we mean by ‘be precise’:
If you don’t know how final or volatile works in Java and what is the difference between synchronized and lock, so you can’t write a compiler. If you don’t know how Lucene works and how BM25 model works you can’t be in IR track.
What if I want to apply, but I don’t have everything in the prerequisite list:
You can start study from today, you will have over a month.
We’re pleased to announce the second generation of Kngine.
While keep Kngine fast and efficient, we improved the quality of the answers and the number of questions that Kngine can answer. In our 3rd party benchmark the new version of Kngine scored 72% compared to about 25% for Siri, Wolfram | Alpha, Evi and others.
In this version we simply improved everything, from how Kngine understand the questions, answer them and format the answer. In additional to that in the last week we improved how Kngine deal with simple questions, such as: Unit and Currency Conversation, Equation, etc.
If you like to know more about our QA API that can power your Application, drop us email at Business@Kngine.com
Recently we were asked to compare Kngine against the Question Answering/Search Application in the market such as: Siri, Evi, Skyvi, Google Now, Malubba and Ziggy.
The 3rd party benchmark was made by an independent consultant, based on NIST guidelines and questions.
As we expected, Kngine beat all the competitors by huge factor.
Thumbs up for Kngine and our engineers.
For more information please contact Haytham ElFadeel, CEO : HFadeel@Kngine.com
We fixed almost all the submitted bugs in the engine and the App but definitely more is coming.
Most of the personal assistants that understand natural language don’t have global “local search” that includes Siri, Evi, Skyvi, etc But at Kngine we always believe in challenge the status que so from first day and we’re working hard to have a global “local search” and we keep improving it. Today we just rolled out important improvements on our local search, better accuracy and links to view the restaurant’s menu for more than 500,000 restaurants around the world and even make an online reservation for about 25,000 restaurants via OpenTable.com
Honestly provide menus and make online reservation was a requested feature from you and it’s available now.
But this is not everything, we plan for other improvements in the coming weeks includes, telling if this store/restaurant/cafe is currently open or not (the working hours). Also next month we will announce significant improvements in our question answering engine and a beautiful version of the App.
We have a problem. There are about 600 Million smartphone users who suffer from using their phones to search, know stuff or get answers for their questions. We realized that search on smartphones is a pain in the a**, while it should be smart like the smartphone. So we decided to change that.
Kngine is a brand new App that answers your questions, Just ask by voice or type When is the next Cal-train, H, Revenue of GE, how to make a cheesecake, where is the nearest cvs, what the top box office for this week, etc. and he’ll get you the answer right away.
Our goal is to simplify searching for answer, information and facts; and change the usual search results from billions of links to customized answers;
We’d love to hear your feedback, so send any comments/suggestions/complaints to Feedback@Kngine.com