AI Agents
AI agents are autonomous systems that perceive their environment, make decisions, and take actions to achieve specific goals. They use artificial intelligence (AI) techniques such as machine learning, natural language processing (NLP), and reinforcement learning to adapt and improve their performance over time. AI agents are widely used in various applications, including chatbots, recommendation systems, robotic automation, and autonomous vehicles.
AI (Artificial Intelligence)
Artificial intelligence (AI) refers to the simulation of human intelligence in machines, enabling them to perform tasks such as learning, reasoning, problem-solving, perception, and language understanding. AI encompasses a range of technologies, including machine learning, deep learning, computer vision, and NLP. It is applied across industries such as healthcare, finance, automation, cybersecurity, and customer service, transforming business operations and decision-making processes.
Adversarial machine learning
Adversarial machine learning is a technique used to manipulate AI models by introducing deceptive inputs. These attacks exploit vulnerabilities in models, leading to incorrect predictions or decisions. Adversarial defenses, such as robust training methods, are developed to mitigate these risks.
