The AI and Remote Sensing in Agriculture Workshop, hosted by the Machine Vision and Information Systems Lab, is a three-day event exploring the role of AI, Remote Sensing, and Drone Technology in modern agriculture. Participants will learn to collect, analyze, and visualize drone imagery data, examine real-world case studies, and engage in enriching discussions.
Agriculture in the SAR (South Asian Region) is caught in a low equilibrium trap with low productivity of staples, supply shortfalls, high prices, low returns to farmers and area diversification – all these factors can be a threat to food security.
The workshop will help the participants to get fundamental concepts and principles of digital forensics and its relevance to digital investigations and the examination process. It will demonstrate the recovery of digital artifacts in forensically sound manners from different OS i.e. Windows/Mobile environments.
Deep Learning and Computer Vision are witnessing tremendous growth over the years due to the application of machine learning algorithms to computer vision tasks such as object recognition and detection, image registration, 3D reconstruction and semantic segmentation.
A five days workshop on “Edge Computing for Computer Vision” is being conducted with a focus on harnessing the power of computer vision on the edge.
Machine Vision and Intelligent Systems Lab has organized a 5 day training on AI, Machine Learning & Data Science from 6th-10th Sep 2021
Introduces you with Machine Learning (ML) Mindset and helps you to identify appropriate situations for ML
Deep Learning (DL) introduction, neural networks, basics, mathematical foundations, implementation using DL frameworks
Object detection families of CNN, RCNN Family, YOLO family, Single / Multi Stage detectors, APIs and Tools in the Cloud
Semantic and Instance Segmentation of Object in Visual Data, from FCN to SOTA in the Domain, Practicals with different datasets
Learn How to Apply artificial Intelligence and Machine Learning to social, humanitarian or environmental challenges
Digital pathology, Whole Slide Tissue Image analytics, Tissue Classification & Segmentation, Digital Biomarkers and Survival Analysis