Around the world, agriculture faces serious challenges due to climate change. Crop yields and livestock productivity are being impacted by shifting precipitation patterns, rising temperatures, & a rise in the frequency of extreme weather events. Addressing these climate-related agricultural challenges…

Data Loss Prevention (DLP) encompasses strategies and tools employed by organizations to safeguard sensitive and critical information from unauthorized access, leakage, or loss. The primary objective of DLP is to protect data from compromise, whether through intentional or accidental means.…

Zero Trust Network Access (ZTNA) is a security framework that eliminates implicit trust within an organization’s network. Unlike traditional network security models that assume internal network elements are trustworthy, ZTNA operates on the principle of “never trust, always verify.” This…

Deep Neural Networks (DNNs) are advanced artificial neural networks consisting of multiple layers of interconnected nodes or neurons. These networks are designed to emulate the structure and functionality of the human brain, enabling them to process complex data and learn…

Convolutional Neural Networks (CNNs) are a type of deep learning algorithm designed to process and analyze visual data, such as images and videos. Inspired by the human visual cortex, CNNs automatically learn and extract features from raw input data. They…