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  The Impact of Artificial Intelligence on the Cybersecurity Industry. The impact of artificial intelligence (AI) on the cybersecurity industry is among the hottest topics discussed and debated among security professionals. From a positive perspective, AI has infused a myriad of threat detection and prevention platforms with newfound methods for uncovering sophisticated threats. It has also helped short-staffed security teams automate complex processes like incident validation and response. Key Term: Generative AI  Form of AI that produces various types of content (e.g., text, imagery, audio, video)  First introduced in the 1960s in chatbots. Gained awareness in 2014 following the introduction of generative adversarial networks (GANs) that could create images, videos, and audio.Gained further awareness in 2018 with the introduction of ChatGPT. Dozens of cybersecurity (and other) vendors are integrating generative AI into their solutions. Three Kinds of  Chatbots with proprietary LLMs h
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"Hello, World" of Machine Learning

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  Say hello to the "Hello, World" of machine learning 1. Before you begin In this , you'll learn the basic "Hello, World" of ML, where instead of programming explicit rules in a language, such as Java or C++, you'll build a system trained on data to infer the rules that determine a relationship between numbers. Consider the following problem: You're building a system that performs activity recognition for fitness tracking. You might have access to the speed at which a person is walking and attempt to infer their activity based on that speed using a conditional. if ( speed < 4 ){   status = WALKING ; } You could extend that to running with another condition. if ( speed < 4 ){   status = WALKING ; } You could extend that to running with another condition. if ( speed < 4 ){     status = WALKING ; } else {     status = RUNNING ; } In a final condition, you could similarly detect cycling. if ( speed < 4 ){     status = WALKING ; } else if ( sp
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