CCIS Workshop on Neural Networks and its Applications

CCIS will be organizing a short workshop on Neural Networks and its Applications on 29 May 2014.
Below are the details of the workshop:

Title: Neural Networks and its Applications
Speaker: Tay Yong Haur
Date: 29 May 2014
Time: 2pm-4pm.
Venue: MIMOS Lab, SB Ground Floor, FES, UTAR Kuala Lumpur campus.
Registration: due to the limited space available, it is only opened to UTAR students and staffs. please write directly to tayyh@utar.edu.my

CCIS Industry Showcase: Intelligent Video Analytic for Intelligent Transportation Systems by Recogine Technology

CCIS Industry Showcase invites our industry partners to showcase their latest R&D technologies and to foster further collaboration between academic and industry.

Title: Intelligent Video Analytic for Intelligent Transportation Systems
Company: Recogine Technology Sdn. Bhd.
Date: 29 May 2014 (Thursday)
Time: 09:30AM – 12:30PM
Venue: MIMOS Lab, SB Ground Floor, FES, UTAR Kuala Lumpur

In this industry showcase, we invite all undergraduate and graduating students, researchers and lecturers to this event, to interact with the researchers from Recogine Technology for possible collaborations:

• FYP Projects in video analytic and intelligent transportation systems (ITS)
• Internship opportunities
• Postgraduate Research in video analytic and ITS
• Research consultancy and collaboration

Activities:

• Demonstration of video analytic technologies in ITS
• Research opportunities with Recogine Technology

Who should attend?

• undergraduate students, 
• postgraduate students, 
• researchers, 
• academics

CUDA Programming Challenge 2014

Join the CUDA Programming Challenge 2014 to win USD1000 + NVidia Quadro GPU card!

QUESTION 
The CUDA Programming Challenge 2014 is a coding competition that welcomes all types of CUDA programs to solve a shortest path route selection problem. The problem of finding a path between two vertices or nodes, such that the sum of the weights of all the edges in between is minimized, is a problem that can be solved in polynomial time, but involves a huge amount of computation. The algorithms used to solve this problem can be applied to real-world applications such as finding the shortest routes between two points such as it is done in Google Maps or Waze, and in networking where packets are often routed through the shortest paths to minimize delays. The goal of this year’s challenge is to develop an algorithm to find the shortest path is the least amount of time.

TIMELINE 
May 2014: Sample data sets availability
Sept 15, 2014: Judging and presentation
Oct 2014: Prize giving

REGISTRATION
Registration is free at http://gpu.mimos.my/CUDAcontest.html