Krishna Mouli

Today, Industry 4.0 is the most refined technology for allowing intelligent and automated business applications. IoT, Big Data, Data Science, and artificial intelligence (AI) are growing technologies that are frequently used in industry. When developing a large-scale, real-time AI application system, data scientists must work on many technologies in Machine Learning and Deep Learning algorithms to push their applications; the AI application is resource (Compute and data) hungry. Modern Python software enables for the rapid implementation of AI & Data science algorithms such as recommendation engines, fraud detection, voice assistance, and so on. The Machine Learning algorithm is the foundation of every AI system. Machine learning algorithms learn from data and use hidden patterns in data to accomplish a certain objective.

The Intel oneAPI software creates an ecosystem of software tools that are optimized for AI training and inferencing. In this workshop, we will look at how to work on optimized frameworks like Tensorflow and Pytorch for accelerating inferencing workloads for deep vision algorithms like CNN, GAN, and Transformers on images and videos. The workshop will provide technical knowledge on oneAPI AI toolkit optimisation frameworks and how these libraries aid in boosting current deep vision models, followed by a hands-on session for participants on the Intel Dev cloud platform.  

Participants Prerequisites of the workshop

INTEL WORKSHOP CONTEST