Acknowledging Edge AI and its fantastic applications.

In this session we will be appreciating the beautiful blend of AI and edge devices like microprocessors and microcontrollers. We will discuss what challenges this side of AI entails and in what aspects the end product of these edge devices prove better than their full fledged resource relaxed AI system counterparts. We will cover introduction to tensorflow lite and deploying the models towards the end.

Raghav Rawat

Raghav Rawat

Microsoft Learn Student Ambassador and Student at RV College of Engineering

Other sessions from: Global AI Student Conference - April 2021

Analyze unformatted text faster using Azure Cognitive Services

Analyze unformatted text faster using Azure Cognitive Services

Do you think that using AI to analyze text is too hard? Do you think it...

Luisa Gonzalez Luisa Gonzalez
Sharif Nasser Sharif Nasser
AI and AR in smart cities governance

AI and AR in smart cities governance

Smart cities development became one of the important trends for the next 10...

Anastasiia Ivaniuk Anastasiia Ivaniuk
Optimal Architecture for Neural Networks using Bio-Inspired Algorithms

Optimal Architecture for Neural Networks using Bio-Inspired Algorithms

Using 2 different bio-inspired algorithms to find the optimal architecture...

Abishai Ebenezer Abishai Ebenezer
Create no-code ML Models with Azure Machine Learning and Microsoft Learn

Create no-code ML Models with Azure Machine Learning and Microsoft Learn

Learn how to build a no-code regression model with Azure Machine Learning...

Foteini Savvidou Foteini Savvidou
Sentiment Analyisis of Resource Scarce Languages

Sentiment Analyisis of Resource Scarce Languages

Sentiment Analysis is a NLP technique which is used to determine the emotio...

Rama Soumya  Naraparaju Rama Soumya Naraparaju
Machine Learning In Fluid Mechanics

Machine Learning In Fluid Mechanics

We're going to take a look into an interesting research topic : "Applying...

Nigama Vajjula Nigama Vajjula