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Intel® announces oneAPI Blogathon contest winners

The top-three winners won Apple iPad mini 64 GB, and the remaining five runners up, who won Amazon gift vouchers worth INR 5000/- each.
Intel® announces oneAPI Blogathon contest winners
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Two months back, Intel®, along with MachineHack, launched the first-of-its-kind oneAPI Blogathon Contest. The blogathon successfully concluded on June 15, 2022, witnessing over 150+ participants, out of which eight winners were selected. 

In this blogathon contest, Intel® encouraged participants to create meaningful content, with the utmost brevity, on given topics, including oneAPI, migrating from CUDA* to oneAPI Data-Parallel C++ (DPC++), Intel® AI Analytics Toolkit, etc. 

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The blogathon provided a great opportunity for participants to showcase their skills and expertise on Intel® oneAPI tools, alongside advancing their knowledge about Intel® oneAPI products and services. 

The top-three winners won Apple iPad mini 64 GB, and the remaining five runners up, who won Amazon gift vouchers worth INR 5000/- each. In addition, these winners are officially eligible to become new contributors to the Intel® community. 

Congratulations to Intel® oneAPI Blogathon winners.

Check out all of the Intel® oneAPI blog posts here

TOP 3 WINNERS:

  1. Tamal Acharya 

Tamal Acharya is an AI/ML enthusiast and a part-time researcher in AI, AGI, and quantum computing, especially QML and QNN. 

He wrote multiple blog posts during the Blogathon contest. This includes a Hands-on Guide to Intel® oneAPI HPC Toolkit, Hands-On Guide to Intel® AI Analytics Toolkit, Intel® Distribution of OpenVINO™ toolkit — — Optimised Deep Learning, and Field-programmable gate arrays (FPGAs) and its use in deep learning inferences. In addition, his blog posts capture the essence of the oneAPI ecosystem, where he has curated hands-on guides and use cases possible with oneAPI tools and platforms. 

Medium Link: https://medium.com/@tamlacharya/intel-fpga-add-on-for-oneapi-base-toolkit-hands-on-introduction-to-deep-learning-inference-with-6faa1db022cb

GitHub Link: https://github.com/tamach666/AIM-Intel-Blogathon/blob/main/README.md

Stackoverflow Link: https://stackoverflow.com/collectives/intel/articles/edit/71749207

  1. Fahim Ahamed 

Fahim is an AI application developer, currently working with TCS as a tech lead and principal researcher in various domains and applications. He stumbled across Intel®’s oneAPI toolkit, specifically Intel® oneAPI HPC toolkit and its integration for various HPC-based computational complexities while working on various projects that required multithreading and memory optimization. 

In his introduction to the oneAPI HPC toolkit blog, he has very nicely explained the importance of Intel® oneAPI HPC Toolkit (HPC Kit) on how developers can use it to build, analyse, optimise, and scale HPC applications with the latest techniques in vectorisation, multithreading, multi-node parallelisation, and memory optimisation. 

Medium Link: https://medium.com/@ciphar90/introduction-to-my-journey-towards-intel-oneapi-hpc-toolkit-207f7d843210

GitHub Link: https://github.com/ciphar90/OneAPI_scribbles

Stackoverflow Link: https://stackoverflow.com/collectives/intel/articles/edit/72834633

  1. Chetan Ambi

A data science and machine learning enthusiast, Chetan Ambi is a seasoned writer who has written many articles and blogs related to Python, machine learning and others. 

For the Intel® oneAPI Blogathon contest, Ambi has written multiple technical blogs. The Introduction to Intel’s oneAPI AI Analytics Toolkit is quite interesting, where he has covered in detail about the oneAPI AI Analytics Toolkit, along with Intel optimized Modin, Scikit-Learn, XGBoost, and others. 

In addition to this, he has written a blog post on ‘Introduction to Intel distribution of OpenVINO toolkit,’ which talks about how OpenVINO toolkits work, basic workflow of Intel® distribution of OpenVINO toolkit, installation, and more. 

Medium Link: https://pub.towardsai.net/introduction-to-intels-oneapi-ai-analytics-toolkit-8dd873925b96

GitHub Link: https://github.com/chetanambi/MachineHack-Solutions/tree/master/oneapi_blogathon

NEXT 5 ENTRIES:

  1. Madhana Bala S K

A machine learning professional, Madhana Bala S K, has written a blog post on ‘oneAPI AI Analytics Toolkit’ for the Intel® oneAPI Blogathon contest, which gives readers an understanding of how each toolkit works alongside its implementation. Bala has touched upon various aspects in his blogpost, including AI toolkit, Intel® DevCloud, Intel® distribution for Python, Modin, scikit-learn and more.

Medium Link: https://medium.com/@madhanamailone/lets-learn-intel-oneapi-ai-analytics-toolkit-ai-kit-4eb2cf61fc9f#4340

GitHub Link: https://maddy011.github.io/#intel-distribution-for-python

Stackoverflow Link: https://stackoverflow.com/collectives/intel/articles/72824088/let-s-learn-intel-oneapi-ai-analytics-toolkit

  1. Adarsh Wase

Adarsh Wase has an interest in machine learning and MLOps. He likes to build solutions for various data science hackathons alongside contributing to Stack Overflow’s machine learning community. 

For the Intel® oneAPI Blogathon contest, Wase submitted his blogpost on ‘handling data science workload with Intel® AI analytics toolkit,’ where he neatly explained about the toolkit, Intel® Optimised TensorFlow and PyTorch, Intel® Neural Compressor, Model Zoo for Intel Architecture, and more. 

Medium Link: https://medium.com/@adarshwase22/superfast-data-science-workload-with-intel-ai-analytics-toolkit-79f683bcfcec

GitHub Link: https://github.com/AdarshWase/Intel-AI-Analytics/blob/main/README.md

  1. Mamatha Kalali Paithara

A tech enthusiast, Mamatha Kalali Paithara, wrote about Intel® distribution of OpenVINO Toolkit for deep learning, where she explained in detail the toolkit’s nuances, touching upon the workflow deployment benefits and running models on OpenVINO. 

Medium Link: https://medium.com/@mamathapaithara/introduction-to-intel-distribution-of-openvino-toolkit-for-deep-learning-105f953a10ac

GitHub Link: https://mamatha666.github.io/oneAPI-Blogathon/

Stackoverflow Link: https://stackoverflow.com/collectives/intel/articles/edit/72625721

  1. Aman Singh

Aman Singh is a ​​software engineer (AI/ML) at Teliolabs Communications Inc. For the Intel® oneAPI Blogathon contest, Singh submitted a technical blog post on Migrating from CUDA* to DPC++. In this blog post, he introduced CUDA and made a case for migrating to DPC++, writing code for CUDA applications, the need for DPC++ and more. 

Medium Link: https://medium.com/@FollishBoi/migrating-from-cuda-to-dpc-25fc36d79287

GitHub Link: https://github.com/AmanSingh0-0/Intel_Blogathon

  1. Siddarth Pai 

An alumnus at the University of Connecticut and Manipal Institute of Technology, Siddarth Pai is an avid tech enthusiast. For the Intel® oneAPI Blogathon contest, Pai wrote a technical blog post on exploring Intel’s oneAPI architecture, explaining various layers of the architecture, writing sample code in DCP++ and more. 

Medium Link: https://medium.com/@siddarth.pai/exploring-intels-one-api-architecture-81c0a80e6e38

GitHub Link: https://github.com/siddarthpaim/Intel-One-API/blob/main/README.md

Stackoverflow Link: https://stackoverflow.com/collectives/intel/articles/edit/72802361

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Amit Raja Naik
Amit Raja Naik is a seasoned technology journalist who covers everything from data science to machine learning and artificial intelligence for Analytics India Magazine, where he examines the trends, challenges, ideas, and transformations across the industry.

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