Deep learning

Unlocking Excellence in Cloud and DevOps: Praveen Kumar Thopalle’s Journey

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Praveen Kumar Thopalle is a highly skilled software engineer with a proven track record in Site Reliability Engineering (SRE) and full-stack development. With expertise in cloud services, container orchestration, and infrastructure automation, Praveen has consistently demonstrated his ability to design, deploy, and maintain scalable, reliable systems with a focus on operational efficiency and automation. Expertise […]

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Prof. (Dr.) Ihtiram Raza Khan: A Leading Academic in Computer Science

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With over 26 years of extensive experience in the field of computer science, Prof. (Dr.) Ihtiram Raza Khan stands out as a senior academician at Jamia Hamdard, Delhi. His expertise spans a range of critical domains including software engineering, neural networks, machine and deep learning, big data analytics, cybersecurity, and the Internet of Things (IoT).

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Unlocking the Power of Generative AI and Data Science: Vyoma Gajjar’s Journey

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In today’s data-driven world, leveraging artificial intelligence (AI) to transform business processes and boost operational efficiency is more crucial than ever. Vyoma Gajjar, a seasoned AI Technical Solution Architect at IBM, is at the forefront of these transformative innovations. With expertise spanning Generative AI, Machine Learning, and Vector Databases, Vyoma has made a significant impact

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Virender Dhiman: A Leading Data Science and AI Software Specialist

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Virender Dhiman is an exceptionally accomplished data science and AI software expert with over 16 years of experience in the IT industry. Based in Texas, he has established himself as a prominent figure in leveraging artificial intelligence and data science to proactively detect and prevent cyber threats. His diverse expertise encompasses full-stack software development, business problem-solving,

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Chitra Sabapathy Ranganathan: Innovator in Business Technology Leadership

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Chitra Sabapathy Ranganathan: Pioneer in Business Technology Leadership Chitra Sabapathy Ranganathan is a seasoned business technology leader with over 24 years of extensive experience, renowned for his relentless pursuit of excellence and innovation across various domains. With a diverse skill set spanning cutting-edge technologies such as Business Intelligence, Cloud Computing, Big Data, Artificial Intelligence/Machine Learning

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The Dark Side of AI

The Dark Side of AI: How Can We Prevent AI from Being Used for Malicious Purposes?

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The advancements in Artificial Intelligence (AI) have revolutionized industries across the globe. With its ability to learn, adapt, and analyze vast amounts of data, AI has enabled businesses to improve efficiency, optimize processes, and increase profits. However, there is a darker side to AI that is often overlooked – its potential for malicious use. In

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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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More Accurate Machine Learning Algorithms for Lung Cancer Diagnosis

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Lung cancer Lung cancer is a deadly disease that affects millions of people worldwide. Early detection and accurate diagnosis are crucial for improving the chances of successful treatment and increasing the survival rate of patients. Medical professionals rely on various diagnostic techniques, including imaging tests, biopsies, and blood tests, to detect lung cancer. However, these

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Sensors and Deep Learning in Public Health: Improving Disease Surveillance and Outbreak Response

Sensors and Deep Learning in Public Health: Improving Disease Surveillance and Outbreak Response

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Introduction: Sensors and Deep Learning have transformed several industries, and public health is no exception. With the advent of wearable technology and real-time data collection, sensors have become a powerful tool for disease surveillance and outbreak response. This article explores how sensors and Deep Learning improve disease surveillance and public health outbreak response. Real-time Data

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Project Brainwave: Advancing AI with FPGA-based Deep Learning

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Artificial Intelligence (AI) is transforming the way we live, work, and interact with the world around us. From autonomous vehicles to personalized healthcare, AI is driving innovation in almost every sector. However, the current AI technology faces several limitations, including high latency and energy consumption, which can hinder its real-world applicability. To address these challenges,

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