Threws Talk

Navigating the Digital Frontier: Cybersecurity in the Era of AI

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In today’s rapidly evolving digital landscape, the integration of Artificial Intelligence (AI) into various sectors has brought unprecedented advancements. However, with innovation comes the pressing need for robust cybersecurity measures. This blog explores the intricate relationship between AI and cybersecurity, delving into challenges, solutions, and the future of safeguarding our digital frontiers. The Rise of […]

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Are you concerned about the cyber security of your utility systems? Do you want to learn about the latest techniques to keep your systems safe and sustainable? If yes, then mark your calendars for Threws Talk on May 14th, where we are bringing together two esteemed experts in the field of cyber security, Dr. Nikhitha Yathiraju and Dr. Pawan Whig.

Threws Talk on “Sustainability of Cyber Security techniques in the Utilities Domain”

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Are you concerned about the cyber security of your utility systems? Do you want to learn about the latest techniques to keep your systems safe and sustainable? If yes, then mark your calendars for Threws Talk on May 14th, where we are bringing together two esteemed experts in the field of cyber security, Dr. Nikhitha

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Threws Talk-2 How Machine Learning and Artificial Intelligence is helping businesses in today’s world

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In today’s world, Machine Learning (ML) and Artificial Intelligence (AI) have emerged as game-changing technologies that are transforming the way businesses operate. ML and AI are enabling businesses to leverage vast amounts of data to gain insights, optimize operations, improve customer experience, and drive growth. In this talk, we will discuss how businesses are using

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Threws Talk-1 Using Machine Learning to Detect Osteoarthritis from X-ray Images: A Breakthrough in Healthcare Technology

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Introduction: Osteoarthritis (OA) is a chronic disease that affects the joints, causing pain, stiffness, and difficulty in movement. It is a common form of arthritis and affects millions of people worldwide. One way to diagnose OA is by analyzing x-ray images of the affected joint. In recent years, machine learning has been used to detect

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