Showing posts with label Artificial Intelligence. Show all posts
Showing posts with label Artificial Intelligence. Show all posts

Thursday, 2 March 2017

Intel Student Ambassador Program for AI: What Is It?

Intel Student Ambassador Program for AI: What Is It?

Image result for The Student Ambassador Program intel
In November of 2016 we announced the Intel® Software Student Developer Program, created to work collaboratively with students at innovative schools and universities doing great work in the Machine Learning and Artificial Intelligence space. As part of this program we also announced the Intel Student Ambassador Program for AI, an exciting new program for University students to engage with Intel around their work in Machine Learning, Deep Learning and Artificial Intelligence.  

What is the Student Ambassador program? 

Student Ambassadors

The Student Ambassador Program is a developer affinity program, designed to assist student experts in telling their story and share their expertise with other student data scientists and developers.  Intel is working with universities across the globe to introduce this program.  Those students invited into the program as Student Ambassadors are provided technical support, resources, and marketing to advance their own work through Intel software, tools, and hardware.  This program is primarily targeted toward graduate students, however, undergrads and PhD students can apply should they have the combined education, skill and time to fulfill program requirements (note: this program does not provide a college internship with Intel, nor does it provide placement for employment with Intel). 

What are the benefits of the Student Ambassador program? 

The Student Ambassador Program offers many benefits for the select students who are invited into the program.  These benefits include:
  • Formal association with Intel Corporation via branded swag and the Student Ambassador title 
  • Free software, tools and libraries from Intel
  • Direct access to their own instance on the Intel Xeon Phi powered AI cluster, to power the development and training of deep learning models
  • Access to early disclosure information (under NDA) during monthly meetings with Intel
  • Direct access to Intel engineers and resources to support their work and adoption and integration of Intel Architecture
  • Sponsored travel to support speakerships and/or training by or for the Student Ambassador
  • Sponsored funds to assist in hosting, training and speaking sessions at their campus to promote their work 

What are the expectations for Student Ambassadors? 

Student Ambassadors will continue in their role as long as the Student is able to and desires to continue as a Student Ambassador or upon their graduation, whichever comes first.  During their time as a Student Ambassador each is expected to complete the following:
  • Online posting of 2 technical articles to Intel's Developer website (software.intel.com)
  • Creation of an online profile and posting of at least 1 project to Intel's Developer Mesh website (devmesh.intel.com)
  • Host speaker of 1 or more Ambassador Labs, providing training about their work to a total of 125 students or more 

I'm interested. How do I get involved? 

For students or faculty interested in the Student Ambassador Program, there are multiple ways to engage with Intel and get involved:
  • Universities can invite Intel to come on campus for a half-day workshop to discuss the program and provide initial training on deep learning and artificial intelligence technologies supporting Intel architecture.  Visit this site and or contact Niven Singh for more information on setting up a workshop.  
  • For students directly interested in the Student Ambassador program we invite students to tell us a bit more about their work by posting information about their studies and or research to the Student Group on the Intel Developer Mesh website. Posting to this site helps Intel get a glimpse into the student work and helps demonstrates the students willingness and aptitude for sharing their experience with the community. After posting a project to Developer Mesh, students can complete and submit an online candidate form

How will Intel support the other students, not eligible or able to be a Student Ambassador? 

University Clubs
Intel is also able to support and sponsor student clubs at universities. With this program Intel is able to provide sponsorship funds to select university clubs.  Sponsorship funds help support a club's cost for meetings and gatherings, in exchange for the club discussing and sharing information about Intel support of Artificial Intelligence.  Select clubs will be provided with an AI training kit, including content and documentation to share and discuss during their meetings and gatherings. Select university clubs will be prioritized for guest speakerships by Intel or associated partners as resources are available. Those interested in being evaluated as a an Intel Student Program University Club can submit information for candidacy here.  
Intel is excited about the opportunity to work and engage directly with students who are shaping and advancing new work and use cases for Artificial Intelligence via campus workshops, Student Ambassadors, and University Clubs.  Our aim is to provide students and developers the resources and opportunity to have a voice and influence in driving AI forward.  Learn more on the Intel Student Ambassador site, check out the AI projects on Mesh, or contact Niven Singh directly for more information..
For more complete information about compiler optimizations, see  Optimization Notice.

Friday, 16 September 2016

EZ ROBOT

Make a Robot!

Learn how to build a robot that can do almost anything.

DJ Sures


The Revolution Six Robot arrived (mostly) fully assembled.

EZ-Robots has a full product line of ‘Revolution Robots’, parts, software and a robust



Before you leave, do me a favor and answer me this question:
What’s your opinion of Bitcoin
~Is it here to stay — permanently — or is it just another passing fad?
Leave your comment below  (Please! Don’t forget to use the social sharing buttons, either)!

Google launches self-driving bicycles in the Netherlands

Google's Self-Driving Bike

Image result for google bicycle
Google Netherlands YouTube channel On 31 March 2016, shared a video  demonstrating Google's development of a "self-driving bike"


Many viewers encountered this video on the Google Netherlands channel on April Fools' Day (and thus understood that it was spoof of the Google Self-Driving Car Project).
Though Google Netherlands made no specific reference to April Fools' Day when they originally posted the video, they did include a link to a "making of" video that showed the "self-driving" bicycle concept to be a hoax:
Image result for google bicycle


Before you leave, do me a favor and answer me this question:
What’s your opinion of Bitcoin
~Is it here to stay — permanently — or is it just another passing fad?
Leave your comment below  (Please! Don’t forget to use the social sharing buttons, either)!

Thursday, 8 September 2016

ROS

Robot Operating System 

A lot of people hear about ROS and will be like what's that today i made up my mind to write an article on that so ROS is a collection of software frameworks for robot software development, providing operating system-like functionality on a heterogeneous computer cluster. ROS provides standard operating system services such as hardware abstraction, low-level device control, implementation of commonly used functionality, and package management. Running sets of ROS-based processes are represented in a graph architecture where processing takes place in nodes that may receive, post and multiplex sensor, control, state, planning, actuator and other messages. ROS, itself, is not a real-time OS (RTOS), though it is possible to integrate ROS with real-time code. ROS was written in C++ or Python and is also a Linux operating System.

ROS was developed  originally in 2007 under the name switchyard by the Stanford Artificial Intelligence Laboratory in support of the Stanford AI Robot STAIR (STanford AI Robot) project.

ROS client libraries (C++, Python, LISP) are geared toward a Unix-like system, primarily because of their dependence on large collections of open-source software dependencies. For these client libraries, Ubuntu Linux is listed as "Supported" while other variants such as Fedora Linux, Mac OS X, and Microsoft Windows are designated "Experimental" and are supported by the community.The native Java ROS client library, rosjava, however, does not share these limitations and has enabled ROS-based software to be written for the Android OS. Rosjava has also enabled ROS to be integrated into an officially-supported MATLAB toolbox which can be used on Linux, Mac OS X, and Microsoft Windows. A JavaScript client library, roslibjs has also been developed which enables integration of software into a ROS system via any standards-compliant web browser.

In my latter post i'll be writing an article on how to install ROS


Before you leave, do me a favor and answer me this question:
What’s your opinion of Bitcoin
~Is it here to stay — permanently — or is it just another passing fad?
Leave your comment below  (Please! Don’t forget to use the social sharing buttons, either)!