Intel® Student Ambassador Program
Overview
This program is focused on undergraduate and graduate students who are passionate about technology and working with developer communities to promote learning, sharing, and collaboration. It provides opportunities for students to enhance their AI and oneAPI skills, expand their network, and learn about the cutting-edge Intel® hardware and software products.
Benefits
- Recognition from Intel as an AI or oneAPI expert
- Support from Intel to organize local events, such as watch parties and workshops (virtual or face to face), to build their campus communities
- Extended access to Intel® Developer Cloud
- Early access to the latest technology developments that are under a nondisclosure agreement (NDA)
- Invitations to exclusive Intel events and training
- Reimbursement from Intel for participating in accepted conferences and events
- Opportunity to be considered for an internship at Intel
The Role of a Student Ambassador
- Organize and deliver AI, high-performance computing (HPC), or visualization-focused training and workshops for students.
- Evangelize software development tools and resources from Intel.
- Develop and share projects using Intel® technologies that inspire fellow students.
- Post blogs and articles to share new lessons learned and best practices with peers.
- Commit to act as an Intel® Student Ambassador for one academic year.
How to Apply
Requirements
- Enrolled in an undergraduate or graduate degree in any regionally accredited university
- Have a minimum of one year left until graduation
- Advocate for Intel technologies on campus
- Share your work at events and conferences and host meetups on campus
- Create a project that describes the work or the research you support on GitHub*
Application Process
- Create an AI or oneAPI project on GitHub*.
- Submit an application.
- Intel evaluates your application, and then responds to qualified candidates with instructions for the next steps.
Program Highlights
Intel Student Ambassador Research Article
Read Exploring the Performance and Portability of the K-means Algorithm on SYCL* across CPU and GPU Architectures by student ambassador Youssef Faqir-Rhazoui (Complutense University of Madrid).
Academic Hands-on Workshop, Chicago
See how Intel partnered with professors and leaders in the oneAPI community to host a first of its kind event for students.
Featured Student Ambassadors
Xiaoxian Wang, University of British Columbia
Xiaoxian's project is a venture in the financial technology (fintech) sector, developing a machine learning-driven quantitative trading strategy by taking advantage of the OpenVINO™ toolkit and oneAPI. Through analyzing extensive historical financial data, the project predicts market trends with high accuracy, surpassing traditional heuristic-based methods. With the combination of econometrics and machine learning, the model makes data-driven, rational investment decisions, enhancing profitability while reducing risk. This approach, coupled with rigorous testing, positions Xiaoxian's project at the forefront of integrating AI into financial trading, potentially revolutionizing investment strategies.
Hadrien Gayap, University of Moncton
Hadrien's project focuses on using deep learning to improve the accuracy and sensitivity of early detection of lung cancer. According to a systematic review of conference papers and scientific journals published in 2022, deep learning algorithms have become a superior way to automatically diagnose disease.
Sanober Ahmed, Birla Institute of Technology and Science, Dubai Campus
Sanober's project involves parallelizing the matrix multiplication operation across different devices. This code initializes two matrices (A and B) with random values, performs matrix multiplication using DPC++, and prints the input matrices along with the result.
Success Stories
See Intel® Student Ambassador Zhibo Li's work on the Collection Skeletons library using Intel toolkits. This library provides a solution for portable parallel performance.
Intel Student Ambassador Joel John Joseph details how he used oneAPI in his project that focused on predicting wildfire behavior.
Intel Student Ambassador, Dev Aryan Khanna details how he used the AI reference kits from Intel for his healthcare AI companion project.
The winner of the 2023 Intel® Student Ambassador Hackathon, Yuri Achermann, highlights his project using AI Tools and his experience as an Intel Student Ambassador.
Student ambassador Migara Amarasinghe details how he used the open source SYCLomatic tool to transition CUDA* codes to SYCL, thereby enabling the effective use of accelerators from multiple vendors, such as Intel, NVIDIA*, and AMD*.
See how student ambassador Poornima Nookala achieved extreme fine-grained parallelism on modern many-core architectures using oneAPI. She also explains her contribution to the development of Template Task Graph (TTG), which is a new flow graph programming model for high-performance algorithms running on distributed heterogeneous computer platforms.
Read how this student ambassador uses oneAPI for his project to produce a semicoherent natural language processing system. He also uses SYCL for dataset management to offload the work to a GPU.
Publications
Explore various publications from students, instructors, educators, and researchers who are part of the Intel® Academic Program for oneAPI.
Become an Intel Student Ambassador
Get ready to inspire and influence your peers from across the globe. Demonstrate your technology leadership in AI, HPC, visualization, and rendering.
For more information, contact us.
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