Artificial intelligence (AI) is poised to change lives. From fueling medical discoveries to smart collars that can decipher and display the emotions of our household pets, this emerging technology is enabling organisations to innovate. According to IDC[1], by 2025, AI-powered enterprises will see a 100% increase in productivity and new product introduction success rates, higher than those of their non-intelligent peers. By being able to anticipate the market and operational changes with AI, organisations will respond much faster than their competitors. They will be agile enough to adapt to changes in the market and innovate.

Hence, accelerating AI solutions for businesses should be the focus for organizations in India. For example, HPC workloads are becoming more data centric and adding AI technologies to advance the capabilities of traditional HPC modeling and simulation. In the next few years, HPC technologies, such as HPC-enabled machine learning training, will go from experimentation models to production models. As CTOs and CIOs in India look to create an enterprise infrastructure that provides robust performance and scalability for large and highly complex AI models while keeping deployment costs low, the answer may lie in HPC for three key reasons:

· Data analytics: Businesses relying heavily on data analytics generate new insights which improve efficiencies and give them a competitive edge. However, when it comes to analysing large sets of unstructured data that are exponentially increasing in volume and velocity, traditional IT infrastructure is often hamstrung due to slow storage speeds. To adapt to significantly larger data sets and compute-intensive analytics processes, researchers are looking to exascale computing systems, capable of performing one quintillion calculations per second. Powered with HPC, these advanced performance systems are expected to have a profound impact in the faster identification of pandemics, discovery of effective medication and indication of hazardous weather conditions before they happen.

· Acceleration of AI deployments: According to a study, in India, almost 70% of organisations are currently investing in Artificial Intelligence to deliver better business results. As HPC and AI continue to converge and evolve to involve more use cases across industries, the possibilities are nearly endless. Organisations are increasingly looking for pre-designed and pre-validated solutions to generate value instead of constructing IT infrastructure. To help companies with roadblocks involved in setting up an AI system, large vendors are also beginning to introduce reference architectures together with HPC infrastructure for data scientists and researchers working. With HPC and software combined, launching new AI applications is becoming easier and faster. Technology vendors are helping data scientists focus less on maintaining AI systems but more on experimenting, exploring and uncovering insights. Organizations do not need to walk their AI journey alone. By collaborating and working with end-to-end technology infrastructure providers, organisations can co-design and customise unique HPC infrastructures to meet AI research, development and AI model deployment needs.

· Growing support for HPC globally and in India: The business benefits of AI are being increasingly recognised, with infrastructure providers now helping the research community and customers capitalise on HPC, expanding it from a niche market to a broader audience. More than ever, customers and partners have access to guidance from technology vendors on how to kick-start their AI initiatives including design, installation, maintenance and most importantly, delivering tangible business outcomes for their organisations. Organisations are focused on promoting open collaboration, bringing together the wide-ranging experience and knowledge of technology developers, service providers and end-users in a worldwide forum that promotes the advancement of innovative, powerful HPC and AI solutions.

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To apply for Intel Edge AI Scholarship program, students must have a basic knowledge of computer vision and artificial intelligence model creation

Udacity, the Silicon Valley based lifelong learning platform, announced its newest initiative to expand students’ artificial intelligence skills: the Intel Edge AI Scholarship Program.

This new scholarship program, announced at the Intel AI Summit and the Future of Education and Workforce Summit in San Francisco, will empower professional developers interested in advanced learning, specifically deep learning and computer vision, to accelerate the development and deployment of high-performance computer vision and deep learning solutions.

Computer vision and AI at the edge are becoming instrumental in powering everything from factory assembly lines and retail inventory management to hospital urgent care medical imaging equipment like X-ray and CAT scans. This program will teach fluency in some of the most cutting-edge technologies.

Upon successful completion of the first phase of the program, students will also have the opportunity to earn their way to a full scholarship to the Intel Edge AI for IoT Developers Nanodegree program, a brand-new Udacity Nanodegree program built in partnership with Intel.

The scholarship program is divided into two phases. In the first phase, students will get exclusive access to the first course of the brand-new Intel Edge AI for IoT Developers Nanodegree program, the Intel Edge AI Fundamentals Course. As part of the program, scholars will learn to accelerate the development and deployment of high-performance computer vision and deep learning solutions, using its wide range of silicon and the Intel Distribution of OpenVINO toolkit. As scholars work through the first course, they’ll benefit from a Udacity-supported student community where they can collaborate and support their peers, get feedback on their work, participate in exclusive webinars and more.

Intel’s support and investment will make a limited number of seats available for the first phase of the scholarship. Upon successfully completing phase one, 750 students will then go on to qualify for the full Intel Edge AI for IoT Developers Nanodegree program.

“At Udacity, we strive to empower professionals with the most cutting-edge and in-demand skills in the field,” said Udacity CEO, Gabriel Dalporto. “That’s why we teamed up with Intel to build the Intel® Edge AI for IoT Developers Nanodegree program — the first program of its kind.”

“Historically, students have learned how to build and deploy deep learning models for the cloud,” said Jonathan Ballon Intel vice president and general manager, Internet of Things Group. “With Udacity, we are training the next generation of AI developers to go where the data is generated in the physical world: at the Edge. Optimizing direct deployment of models on edge devices requires knowledge of unique constraints like power, network bandwidth and latency, varying computer architectures and more. The skills this class delivers will allow students to implement learnings on real-world applications across a variety of fields.”

Given the toolkit requisites, to apply for Intel Edge AI Scholarship program, students must have a basic knowledge of computer vision and AI model creation, along with basic Python or C++ experience. To learn more and apply to this scholarship program, visit the official Scholarship Page.

This Scholarship program incorporates a brand-new Nanodegree program, the Intel Edge AI for IoT Developers Nanodegree program. The Nanodegree program will introduce students to the OpenVINO toolkit, which allows developers to deploy pre-trained deep learning models through a high-level C++ or Python inference engine API integrated with application logic. Based on convolutional neural networks (CNN), the toolkit extends workloads across Intel hardware (including accelerators) and maximizes performance.

As such, the graduates of the Intel Edge AI for IoT Developers Nanodegree program will understand how to accelerate the development and deployment of high-performance computer vision and deep learning solutions using its wide range of silicon and the Intel Distribution of OpenVINO toolkit.

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