#ArtificialIntelligence Page 7 of 11

Explore AIstify's latest reporting, research, and expert analysis tagged with "artificial intelligence", collected in one continuously updated archive.

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Agentic AI
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Agentic AI

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Agentic AI describes systems that can plan, use tools, and carry out multiple actions with limited supervision to achieve a defined goal.

Beam Search
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Beam Search

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Beam search is an AI decoding method that keeps several likely output sequences at each step to improve translation, transcription, or text generation.

Weak AI
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Weak AI

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Weak AI is task-specific artificial intelligence designed for defined functions, unlike hypothetical general intelligence with broad human-like abilities.

Active Learning
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Active Learning

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Active learning is a machine learning approach that selects the most informative examples for human labeling to improve a model with less annotation work.

Autoencoder
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Autoencoder

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An autoencoder is a neural network that compresses data into a latent representation and reconstructs it for denoising, learning, or anomaly detection.

Wasserstein GAN (WGAN)
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Wasserstein GAN (WGAN)

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A Wasserstein GAN (WGAN) is a generative model that uses a distribution-distance objective to improve training stability and synthetic output quality.

Industries
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Industries

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AI-driven news and analysis across major global industries – covering how artificial intelligence is transforming business, infrastructure, and services worldwide.

Classification
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Classification

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Classification is a machine learning task that assigns data to predefined categories based on patterns learned from labeled examples.

Anomaly Detection
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Anomaly Detection

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Anomaly detection is an AI technique that identifies unusual data, behavior, or events that may signal fraud, faults, errors, or security threats.

Wake Word Detection
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Wake Word Detection

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Wake word detection is an AI speech technique that recognizes a short activation phrase while balancing missed commands, false triggers, and privacy.

Adversarial Attack
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Adversarial Attack

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An adversarial attack uses carefully crafted input to mislead an AI model, bypass safeguards, expose data, or trigger an incorrect prediction.