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What is transfer learning?
1. What is transfer learning? Answer: Transfer learning involves taking a pre-trained model on one task and adapting it to a different but related task, saving time and computational resources. 2. What is a convolutional neural network (CNN)? Answer: CNNs are a class of deep learning models primarilRead more
1. What is transfer learning?
Answer: Transfer learning involves taking a pre-trained model on one task and adapting it to a different but related task, saving time and computational resources.
2. What is a convolutional neural network (CNN)?
Answer: CNNs are a class of deep learning models primarily used for image and video recognition, featuring layers that automatically detect features like edges, shapes, and textures.
3. What is a recurrent neural network (RNN)?
Answer: RNNs are neural networks designed for sequence prediction tasks, such as language modeling and time-series forecasting, by maintaining an internal state to process sequences.
4. What is the Turing Test?
Answer: The Turing Test is a test of a machine’s ability to exhibit intelligent behavior equivalent to or indistinguishable from that of a human.
5. What are the ethical concerns in AI?
Answer: Ethical concerns include privacy, bias in algorithms, accountability, security risks, job displacement, and the potential for misuse of AI technologies.
See lessWhat is a bias in AI?
1. What is a bias in AI? Answer: Bias in AI occurs when an algorithm produces results that are systematically prejudiced due to flawed training data or incorrect assumptions in the model. 2. What is the role of big data in AI? Answer: Big data provides large volumes of information that AI systems caRead more
1. What is a bias in AI?
Answer: Bias in AI occurs when an algorithm produces results that are systematically prejudiced due to flawed training data or incorrect assumptions in the model.
2. What is the role of big data in AI?
Answer: Big data provides large volumes of information that AI systems can analyze to identify patterns, make predictions, and improve their performance.
3. What is an AI model?
Answer: An AI model is a mathematical representation of a system or process that allows the machine to learn from data and make predictions or decisions.
4. What is AI in robotics?
Answer: AI in robotics involves programming robots to perform tasks autonomously, often using computer vision, machine learning, and decision-making algorithms.
5. What is the role of cloud computing in AI?
Answer: Cloud computing provides scalable infrastructure for running AI models, storing data, and facilitating collaboration across distributed teams.
See lessWhat is autonomous AI?
1. What is autonomous AI? Answer: Autonomous AI refers to systems that can make decisions and take actions independently, without human intervention, such as self-driving cars. 2. What is a knowledge graph? Answer: A knowledge graph is a network of real-world entities and their relationships, used iRead more
1. What is autonomous AI?
Answer: Autonomous AI refers to systems that can make decisions and take actions independently, without human intervention, such as self-driving cars.
2. What is a knowledge graph?
Answer: A knowledge graph is a network of real-world entities and their relationships, used in AI to provide structured data for tasks like search, recommendations, and decision-making.
3. What are adversarial attacks in AI?
Answer: Adversarial attacks involve manipulating input data to mislead AI models into making incorrect predictions or decisions, posing a security risk.
4. What is AI in cybersecurity?
Answer: AI in cybersecurity helps identify threats, detect anomalies, predict potential attacks, and automate responses to enhance security measures.
5. What is a self-learning AI?
Answer: Self-learning AI refers to systems that improve and adapt through their experiences and feedback, without requiring constant manual updates.
See lessHow does AI impact education?
1. How does AI impact education? Answer: AI can personalize learning experiences, automate administrative tasks, provide data-driven insights for educators, and improve educational content delivery. 2. What is bias in AI algorithms? Answer: Bias in AI algorithms refers to systematic prejudice in decRead more
1. How does AI impact education?
Answer: AI can personalize learning experiences, automate administrative tasks, provide data-driven insights for educators, and improve educational content delivery.
2. What is bias in AI algorithms?
Answer: Bias in AI algorithms refers to systematic prejudice in decision-making, often due to biased training data or design, resulting in unfair outcomes.
3. What is edge AI?
Answer: Edge AI refers to processing data locally on devices (e.g., smartphones, IoT devices) rather than in the cloud, enabling faster decisions with lower latency.
4. What is the future of AI?
Answer: The future of AI includes advancements in AGI, increased automation, improved healthcare applications, ethical challenges, and growing integration into daily life and industries.
5. What is the role of AI in autonomous vehicles?
Answer: AI enables autonomous vehicles to process data from sensors, make decisions about navigation, and interact with their environment to drive safely without human intervention.
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